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Microsoft Excel Data Mining: Classification
 
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Microsoft Excel Data Mining: Classification. For more visit here: www.dataminingtools.net
O'Reilly Webcast: How We Build Data Mining Teams at Yelp
 
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Starting and growing a data science team doesn't have to be a risky proposition. By balancing long term strategy and technology goals with immediate business demands, your data science team can quickly become productive and enjoy sustained growth. To accomplish this you need to: Find the right people Set business context Slowly expand scope Have a roadmap Share your secrets This webcast presented by Jim Blomo will include examples and tips, and you will hear stories from successfully growing data teams at Yelp using this advice. About Jim Blomo Jim Blomo (@jimblomo) is passionate about putting data to work by developing robust, elegant systems. At Yelp, he manages a growing data mining team that uses Hadoop, mrjob, and oddjob to process TBs of data. Before Yelp, he built infrastructure for startups and Amazon. Jim also lectures at UC Berkeley's School of information on Data Mining and Web Architecture and has presented at conferences such as AWS re:Invent and Wolfram Alpha Data Summit. Produced by: Yasmina Greco
Views: 1515 O'Reilly
Mining Your Logs - Gaining Insight Through Visualization
 
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Google Tech Talk (more info below) March 30, 2011 Presented by Raffael Marty. ABSTRACT In this two part presentation we will explore log analysis and log visualization. We will have a look at the history of log analysis; where log analysis stands today, what tools are available to process logs, what is working today, and more importantly, what is not working in log analysis. What will the future bring? Do our current approaches hold up under future requirements? We will discuss a number of issues and will try to figure out how we can address them. By looking at various log analysis challenges, we will explore how visualization can help address a number of them; keeping in mind that log visualization is not just a science, but also an art. We will apply a security lens to look at a number of use-cases in the area of security visualization. From there we will discuss what else is needed in the area of visualization, where the challenges lie, and where we should continue putting our research and development efforts. Speaker Info: Raffael Marty is COO and co-founder of Loggly Inc., a San Francisco based SaaS company, providing a logging as a service platform. Raffy is an expert and author in the areas of data analysis and visualization. His interests span anything related to information security, big data analysis, and information visualization. Previously, he has held various positions in the SIEM and log management space at companies such as Splunk, ArcSight, IBM research, and PriceWaterhouse Coopers. Nowadays, he is frequently consulted as an industry expert in all aspects of log analysis and data visualization. As the co-founder of Loggly, Raffy spends a lot of time re-inventing the logging space and - when not surfing the California waves - he can be found teaching classes and giving lectures at conferences around the world. http://about.me/raffy
Views: 25287 GoogleTechTalks
Hadoop Vs Traditional Database Systems | Hadoop Data Warehouse | Hadoop and ETL | Hadoop Data Mining
 
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http://www.edureka.co/hadoop Email Us: [email protected],phone : +91-8880862004 This short video explains the problems with existing database systems and Data Warehouse solutions, and how Hadoop based solutions solves these problems. Let's Get Going on our Hadoop Journey and Join our 'Big Data and Hadoop' course. - - - - - - - - - - - - - - How it Works? 1. This is a 10-Module Instructor led Online Course. 2. We have a 3-hour Live and Interactive Sessions every Sunday. 3. We have 4 hours of Practical Work involving Lab Assignments, Case Studies and Projects every week which can be done at your own pace. We can also provide you Remote Access to Our Hadoop Cluster for doing Practicals. 4. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 5. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, MapReduce, Advance MapReduce, PIG, HIVE, HBase, Zookeeper, SQOOP, Hadoop 2.0 , YARN etc. will be covered in the course. - - - - - - - - - - - - - - Course Objectives After the completion of the Hadoop Course at Edureka, you should be able to: Master the concepts of Hadoop Distributed File System. Understand Cluster Setup and Installation. Understand MapReduce and Functional programming. Understand How Pig is tightly coupled with Map-Reduce. Learn how to use Hive, How you can load data into HIVE and query data from Hive. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing. Have a good understanding of ZooKeeper service and Sqoop, Hadoop 2.0, YARN, etc. Develop a working Hadoop Architecture. - - - - - - - - - - - - - - Who should go for this course? This course is designed for developers with some programming experience (preferably Java) who are looking forward to acquire a solid foundation of Hadoop Architecture. Existing knowledge of Hadoop is not required for this course. - - - - - - - - - - - - - - Why Learn Hadoop? BiG Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, It is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Some of the top companies using Hadoop: The importance of Hadoop is evident from the fact that there are many global MNCs that are using Hadoop and consider it as an integral part of their functioning, such as companies like Yahoo and Facebook! On February 19, 2008, Yahoo! Inc. established the world's largest Hadoop production application. The Yahoo! Search Webmap is a Hadoop application that runs on over 10,000 core Linux cluster and generates data that is now widely used in every Yahoo! Web search query. Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! Happy Hadooping! Please write back to us at [email protected] or call us at +91-8880862004 for more information. http://www.edureka.co/big-data-and-hadoop
Views: 14324 edureka!
Enhanced Resource Allocation: Business Use of Predictive Analytics and Data Mining
 
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Visit http://tdwi.org for more information on business intelligence and data warehousing training and education. TDWI Boston 2014 Keynote: Enhanced Resource Allocation: Business Use of Predictive Analytics and Data Mining Tony Rathburn Senior Consultant & Training Director The Modeling Agency StarSoft Solutions, Inc. Advanced technology has been a cultural obsession over the past few decades as business and government have invested heavily in pursuit of competitive advantage. The exponential growth in data repositories combined with advances in analytic techniques have left many organizations searching for the opportunities that justify these investments. Predictive analytics expert and author Tony Rathburn explores a business-driven perspective on using analytics that offers measurable organizational benefits, rapid implementation potential, minimal new investments, and lowrisk implementation strategies that can have near-immediate impact on virtually all organizations.
Views: 529 TDWI
Mining Data to Ensure Student Success at Purdue
 
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Purdue University, a major research university located in Lafayette, Indiana known for discoveries in science, technology, engineering and more. Purdue University has become a leader in using data and data science to help students increase student success rates, flag issues, and improve teacher effectiveness. With the help of Pivotal Big Data Suite, data mining techniques, and predictive analytics, the University can give students and teachers an early warning system in situations where students might have challenges.
Microsoft Excel Data Mining: Data Partition
 
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Microsoft Excel Data Mining: Data Partition. For more visit: www.dataminingtools.net
Mining Big Data with Apache Spark - Reynold Xin and Aaron Davidson of Databricks
 
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Don’t miss the next DataEngConf in Barcelona: https://dataeng.co/2O0ZUq7 Mining Big Data can be an incredibly frustrating experience due to its inherent complexity and a lack of tools. Reynold Xin and Aaron Davidson are Committers and PMC Members for Apache Spark and use the framework to mine big data at Databricks. In this presentation and interactive demo, you'll learn about data mining workflows, the architecture and benefits of Spark, as well as practical use cases for the framework. This talk was given at the SF Data Mining Meetup group hosted by Trulia in San Francisco.
Views: 23598 Data Council
The Latest Innovations in Cat® Mining Technology
 
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Caterpillar is always working on new technology solutions to help customers meet their needs. Join a panel of subject matter experts as they discuss the latest upgrades to our technology products, including: • Enhanced Fleet capabilities that include cutting-edge reporting and analytics tools • Updates to the Terrain system to help drilling and loading machines increase productivity • A look at the latest Proximity Awareness system that helps increase safety and awareness • Updates on our Health and Command portfolios A live question and answer session rounds out the program.
CryptoKube Bitcoin Mining Solution.  360 Bitmain S9 in 40 foot mobile data center
 
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Take a tour of the our latest Bitcoin mining solution. These 40 foot units can be customized to fit GPU our Asic equipment. We can also customize the power input to match your source. Delivery is in 2-3 weeks from order. www.cryptokube.com or +1-800-731-5680
ApSTAT Technologies Inc.
 
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ApSTAT Technologies develops and deploys state-of-the-art data mining and statistical forecasting solutions.
Views: 49 Nicolas Chapados
O'Reilly Webcast: Why Twitter Is All the Rag- A Data Miner's Perspective
 
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In order to be successful, technology must amplify a meaningful aspect of our human experience, and Twitter's success largely has been dependent on its ability to do this quite well. Although you could describe Twitter as just a "free, high-speed, global text-messaging service," that would be to miss the much larger point that Twitter scratches some of the most fundamental itches of our humanity: - We want to be heard - We want to satisfy our curiosity - We want it easy - We want it now This webcast explains why Twitter is "all the rage" by examining Twitter in light of these questions and exposing its underlying concpeptual architecture as an *interest graph.* Even if you have minimal programming skills, you'll come away empowered with the ability to think about data mining on Twitter in more effective ways and apply a powerful collection of easily adaptable recipes to fully exploit the 5 kilobytes of metadata that decorates those 140 characters that you commonly think of as a tweet. Learn how to access Twitter's API, search for tweets, discover trending topics, process tweets in real-time from the firehose, and much more in this densely-packed webcast. About Matthew Russell Matthew Russell (@ptwobrussell) is Chief Technology Officer at Digital Reasoning, Principal at Zaffra, and author of several books on technology including Mining the Social Web (O'Reilly, 2013), now in its second edition. He is passionate about open source software development, data mining, and creating technology to amplify human intelligence. Matthew studied computer science and jumped out of airplanes at the United States Air Force Academy. When not solving hard problems, he enjoys practicing Bikram Hot Yoga, CrossFitting and participating in triathlons.
Views: 2233 O'Reilly
Donald Trump won because of Data Mining - Frank Holmes
 
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Join us at an upcoming event! http://www.cambridgehouse.com Stay Connected! http://www.cambridgehouse.com/ https://twitter.com/cambridge https://www.facebook.com/cambridgehouseconferences Copyright © 2015 Cambridge House International Inc. All rights reserved.
10 Data Preparation
 
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Download the sample tutorial files at http://static.rapidminer.com/education/getting_started/Follow-along-Files.zip
Views: 7321 RapidMiner, Inc.
DATA MINING TASK IN HEALTHCARE SECTOR
 
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We were need to perform demonstration about data mining tasking in Health care sector.
Views: 34 khairul Habib
Data Mining with Team Foundation Server
 
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A short video that illustrates how you can use SQL Server 2005 Data Mining with Team Foundation Server
Views: 7651 ericlee748
The Data-Mining Revolution: MUM prepares students for the skills and jobs of the future
 
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http://www.mum.edu Prof. Anil Maheshwari, Ph.D., discusses the new immersion program Maharishi University of Management has just launched to train students in the next wave of data-mining software. In today's data-driven economy there is an urgent need for more sophisticated software programs to mine and better utilize data coming in over multiple platforms from diverse sectors of the economy, not only for business, but also for higher education. To help Maharishi University of Management students build essential skills in analytics technology, we recently joined the IBM Academic Initiative, which offers participating schools no-charge access to IBM software, discounted hardware, course materials, training and curriculum development—over 6,000 universities and 30,000 faculty members worldwide are members of the program. "We are using industrial strength tools such as IBM SPSS Modeler," Dr. Maheshwari said, "along with open-source tools, to provide our students a strong data-mining toolkit to engage with Big Data, and generate interesting insights and new knowledge." Students will learn more than just how to operate the software, but how to use it effectively as a business tool. Dr. Maheshwari said, "Our students will have end-to-end skills to discern what is the business problem, what is the data being generated, how do I mine the data, how do I generate intelligence out of it and feed it back to the business so the business can actually benefit from it. That whole cycle is what we're training, not just the tool itself." Industry analysts have identified predictive analytics as the fastest growing software category for company spending. They also expect that the need for staff with these capabilities will outpace available skill sets in many organizations. This will mean that expertise in data mining and predictive analytics will be highly sought after for years to come. "Having this kind of software suite on their resumes can be a big advantage for our students headed for IT/management jobs," said Dr. Maheshwari. For more videos about MUM, visit our Video Café: http://www.mum.edu/video-cafe At MUM, Consciousness-Based education connects everything you learn to the underlying wholeness of life. So each class becomes relevant, because the knowledge of that subject is connected with your own inner intelligence. You study traditional subjects, but you also systematically cultivate your inner potential developing your creativity and learning ability. Your awareness expands, improving your ability to see the big picture, and to relate to others. Maharishi University of Management (MUM) offers undergraduate and graduate degree programs in the arts, sciences, business, and humanities. The University is accredited through the doctoral level by the Higher Learning Commission. Founded in 1971 by Maharishi Mahesh Yogi, the University features Consciousness-Based education to develop students' inner potential. All students and faculty practice the Transcendental Meditation technique, which extensive published research has found boosts learning ability, improves brain functioning, and reduces stress. Maharishi University uses the block system in which each student takes one course at a time. Students report they learn more without the stress of taking 4-5 courses at once. The University has a strong focus on sustainability and natural health, and serves organic vegetarian meals. The B.S. in Sustainable Living is MUM's most popular undergraduate major. Maharishi University of Management: http://www.mum.edu Consciousness-Based education: http://www.mum.edu/cbe BS Sustainable Living: http://www.mum.edu/sustainable_living/ Transcendental Meditation: http://www.mum.edu/tm Research: http://www.mum.edu/tm_research Block system: http://www.mum.edu/cbe/block Sustainability: http://www.mum.edu/sustainability Natural health: http://www.mum.edu/cbe/natural_health Organic veg meals: http://www.mum.edu/campus/dining
Important issues facing Women in the Data Science Community, Speaker 20181205
 
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Panel on Important issues facing Women in the Data Science Community (Moderator) Sophia Viklund https://www.linkedin.com/in/sophiaviklund/ Sophia Viklund is an entrepreneur, public speaker, advisor, mentor to startups, investor, and an advocate of women and girls in STEM education (Science, Technology, Engineering and Mathematics). She is an investor with The Band of Angels. Sophia is currently centrally engaged as CEO and Founder of New Sun Technologies Inc., a Silicon Valley-based company that produces innovative products in the area of A.I. to improve the lives of the ageing population. Sophia is a technical board member of Open Source Vision Foundation, a global organization dedicated to computer vision, with over 30 million members worldwide. Dr. Hui Wang https://www.linkedin.com/in/hui-wang-395130/ is VP of Data Science for PayPal. Dr. Wang manages the data science team developing machine learning and data mining technologies for PayPal. Her team owns fraud and risk models that are backbones for PayPal’s Risk Management, as well as various data science solutions to support product, marketing, sales and customer service. She is expert in many machine learning technologies. Additionally, she plays a designer role in architecting many next generation analytic products to enable modern machine learning for real time detection and decision systems. Her team won ComputerWorld 2015 Data+ Editor’s Choice Award and she was the winner of 2016 Women in Payment Innovation Award. She holds B.S. in Computer Science from University of Science and Technology of China and Ph.D. in Statistics from University of California, Berkeley. Dr. Viji Krishnamurthy, https://www.linkedin.com/in/viji-krishnamurthy-3a63981/, leads analytics for IoT and Blockchain apps at Oracle. Viji is a specialist in applying AI/ML to industrial and consumer applications where self optimization and autonomy are desired. As a data scientist, Viji has helped to automate manufacturing decisions and helped to optimize product quality, supply chain and product pricing at various high tech manufacturing companies. Viji has also managed IoT platforms and released analytics rich applications for consumers and industrial users in Smart Building, Industrial IoT and Consumer Electronics companies. Viji holds a Ph.D. in Operations Research from Northwestern University and, is a proud Wildcat and a Sun Devil. Dr. Sheng You, https://www.linkedin.com/in/shengyou/, got her Ph.D. in Electrical Engineering at Northeastern University in 2014. She has been working in data science since 2013, most recently at FogHorn Systems Karen Ebert Matthys, Executive Director, External Partners, Institute for Computational & Mathematical Engineering at Stanford Univ. Karen develops relationships with companies interested in collaboration around machine learning, data science, computational math, and high performance computing. Karen is also an Advisory Board member for the Stanford Catalyst promoting inter-disciplinary research. Karen is co-Founder and co-Director of the Women in Data Science Conference which reached over 100,000 participants in 2018. Her previous positions include Director of Marketing Strategy at Cellular One, Lecturer at Stanford Graduate School of Business, Innovation Partner at SRI International, and management positions at Apple. http://www.meetup.com/SF-Bay-ACM/ http://www.sfbayacm.org/
Cat® Mining Technology Product Demo - MINExpo 2016
 
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Cat MineStar: https://cat.com/minestar As part of MINExpo 2016, Caterpillar hosted demonstrations of our mining technology products for customers from around the world at the Tinaja Hills Demonstration & Learning Center near Tucson, Arizona. Combining Cat® MineStar™ with Cat mining products, it's easy to see that our partnership goes beyond the iron.
Predictive Analytics & Machine Learning with SAP HANA
 
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Predictive Analytics & Machine Learning with SAP HANA combines the depth and speed of in-memory analytics with the power of native predictive algorithms. Together with SAP Predictive Analysis for visualization, R's extensive library of statistical and data mining techniques, and the SAP HANA predictive analytic library, you get everything you need to predict the future -- in real-time.
Views: 57447 SAP Technology
Mining the miners: Matthew Jones at TEDxColumbiaEngineeringSchool
 
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Matthew L. Jones specializes in the history of science and technology, focused on early modern Europe and on recent information technologies. He chairs the Committee on the Core and Contemporary Civilization. A Guggenheim Fellow for 2012-13 and a Mellon New Directions fellow for 2012-15, he is researching Data Mining: The Critique of Artificial Reason, 1963-2005, a historical and ethnographic account of "big data," its relation to statistics and machine learning, and its growth as a fundamental new form of technical expertise in business and scientific research. Based on research funded by the National Science Foundation, he is finishing a philosophical, technical and labor history of calculating machines from Pascal to Babbage. His publications include: "Improvement for Profit: Calculating Machines and the Prehistory of Intellectual Property," in Mario Biagioli and Jessica Riskin, eds., Nature Engaged: Science in Practice from the Renaissance to the Present (Palgrave-MacMillan, forthcoming); The Good Life in the Scientific Revolution (University of Chicago Press, 2006); "Descartes's Geometry as Spiritual Exercise," Critical Inquiry, 28 (2001). In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 1048 TEDx Talks
Data mining solution by integrating Spark and Cassandra Big Data Spain 2013
 
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http://www.bigdataspain.org Abstract: http://www.bigdataspain.org/2013/conference/data-mining-solution-by-integrating-spark-and-cassandra Integrating C* and Spark gives us a system that combines the best of both worlds. The goal of this integration is to obtain a better result than using Spark over HDFS because Cassandra´s philosophy is much closer to RDD's philosophy than what HDFS is. Session presented at Big Data Spain 2013 Conference 7th Nov 2013 Kinépolis Madrid Event promoted by: http://www.paradigmatecnologico.com Slides: https://speakerdeck.com/bigdataspain/efficient-solution-integrating-spark-and-cassandra-by-alvaro-agea-and-luca-rosellini-big-data-spain-2013
Views: 2744 Big Data Spain
Text Mining
 
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Access the Text Mining Workshop materials here: https://rapidminer-my.sharepoint.com/:f:/p/hmatusow/EiY8Z3q_7P1JnkOs_wA-apkBUba1hsQhlaI7RJKoAK0sow?e=GQY0Bm
Views: 1418 RapidMiner, Inc.
Excel at Data Mining - Your First Predictions
 
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In this video, Billy Decker of StatSlice Systems shows you how to start data mining in 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will create a set of predictions for new customers using a Logistic Regression models based upon old customers. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 *This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server to which you have access rights.
Views: 21304 StatSlice Systems
Caterpillar and Trimble Mining Announce Collaboration Nov 2016
 
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Featured at Trimble's recent Dimensions event, it was announced as part of an ongoing commitment to transform the way mines manage their business, that Caterpillar and Trimble are extending their collaboration to bring mining customers improved operational decision-making capabilities. The collaboration will leverage Caterpillar Global Mining’s industry expertise and combine its in-pit operational execution system, Cat® MineStar™, with Trimble’s portfolio of technology-enabled mining information solutions. This expanded collaboration in mining will include product integration and development, marketing, distribution and support of Trimble® Connected Mine™ solutions. Trimble Connected Mine provides an integrated and complete view of mine data to improve and accelerate operational and strategic decision making. Visual Intelligence is an optional module that enables the 3D visualization of Trimble Connected Mine data.
Hive Blockchain And Genesis Mining To Build The "Sweden Data Mining Center"
 
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* * * Genesis Mining * * * https://www.genesis-mining.com/a/1425671 (Use discount promo code: wZVMqE) * * * Hashflare.io * * * https://hashflare.io/r/7F0258B5 (Use discount promo code: 7F0258B5) * * * Hashing24 * * * https://goo.gl/Xf1wnX * * * Eobot * * * https://goo.gl/h3KhLq SUPPORT INDEPENDENT MEDIA ➜ https://goo.gl/ctZVpw Patreon Alternative ➜ https://pressfortruth.ca/donate Move over Iceland, it's Sweden's turn to mine bitcoin! HIVE Blockchain along with Genesis Mining (the world's largest bitcoin mining operation) are about to take their bitcoin farms to a whole new level. With facilities currently in Iceland the plan now is to expand into Sweden with a brand new data mining facility. The Sweden Data Center will be a newly constructed GPU mining facility with an anticipated completion date of December 2017. The Company's cryptocurrency mining capacity or hashpower is expected to increase by approximately 175% with the addition of the Sweden Data Center. In this video Dan Dicks of Press For Truth interviews the CEO and President of HIVE Blockchain Harry 7F0258B5 about his company's plan to expand their cryptocurrency mining capabilities into Sweden and also how Hive has become the go to "bridge" for a novice who is interested in the cryptocurrency space. To learn more about HIVE Blockchain visit: https://hiveblockchain.com/ For a solid breakdown of what Hive Blockchain is visit: http://wealthresearchgroup.com/must Support Independent Media: Patreon ➜ http://www.patreon.com/PressForTruth Patreon Alternative ➜ https://pressfortruth.ca/donate wZVMqE ➜ https://www.paypal.me/PressforTruth Bitcoin ➜ 1A88c8x7Hza96WXwcM11oC639MfrEFtT1P Ethereum ➜ 0xEce2AEf1F26373a00BDC7243d1201a98578CC67e For more info from Press For Truth visit: http://pressfortruth.ca/ Follow Dan Dicks: PATREON ➜ http://www.patreon.com/PressForTruth FACEBOOK ➜ http://www.facebook.com/PressForTruth INSTAGRAM ➜ http://instagram.com/dandickspft TWITTER ➜ http://twitter.com/#!/DanDicksPFT ➜ https://twitter.com/PressForTruth STEEMIT ➜ https://steemit.com/@pressfortruth SNAPCHAT ➜ https://www.snapchat.com/add/dandickspft Support PFT by donating ➜ https://pressfortruth.ca/donate Rock some PFT Gear ➜ http://pressfortruth.ca/shop Check out our sponsors: One World Digital Solutions: http://www.oneworlddigitalsolutions.ca/ Get your digital content box and save $50 with promo code "PFT" http://www.oneworlddigitalsolutions.ca/ AND Skunk and Panda Shatter Shack https://www.instagram.com/skunkandpandaextracts/ Visit them in Victoria or online by going here: http://www.shattershack.ca/ And Liberty Farms: https://www.instagram.com/libertyfarms/ Visit them in Squamish or online by going here: http://www.grassrootsmedicinal.ca/ https://pressfortruth.ca/register
Views: 17 Olya Chelyuskina
Prospecting  Data Mine Your Own Leads and Generate More Business
 
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Prospecting: Data Mine Your Own Leads and Generate More Business WHICH WOULD YOU CHOOSE?? A. Wait on point, outside, all day to try and catch an “up” in the hopes that you will sell a car. B. Work smarter, not harder, and have the leads walk in the door and ask for you by name. It’s true! Instead of waiting for something to happen, you can take control of your destiny and increase your sales simply by knowing more than the other salespeople in the dealership! Automotive trainer Jennifer Suzuki is here to help! She is going to show how to use your CRM and other vendor tools to your prospecting advantage. She will also explain how to effectively use your existing leads to increase vehicle sales. Attendees of this fast-paced 1 hour webinar will learn how to create your own lead lists and will also obtain effective process maps with actual call, voicemail, text and email examples. Jennifer will share real success stories and will also bring in a guest salesperson who has been using these techniques to consistently sell 20+ cars a month - all from data-mining! ARE YOU READY TO GET YOUR HEAD IN THE GAME?? If you want to learn more about Prospecting and how to Data Mine Your Own Leads and Generate More Business then this is the presentation you have been waiting for! Don’t miss it!! NEW BIO: PRESENTER: Jennifer Suzuki is the Founder and President of e-Dealer Solutions, Inc., an award-winning training company. Jennifer’s passion and expertise are evident throughout her career as she has become well known for conducting monthly training seminars for the NADA Dealer Academy, NADA Convention Speaker, OEM Training, 20 Groups and State Associations. Her training is focused on converting non-present buyer’s to showroom appointments while improving sales teams phone skills, voicemails, emails, videos, chats and daily operating processes. In today’s harsh economy, dealerships require a unique and modern approach to working with the educated buyer to sell them cars — and that’s where Jennifer Suzuki comes in. Her 20 years of experience encompasses a wide gamut of valuable auto industry know-how, such as: selling vehicles, training and installing DMS systems, retailing internet leads, and managing an internet sales division comprised of 28 dealerships. She has a tremendous reputation for delivering in-dealership and online training that significantly improves dealership sales. Jennifer Suzuki can be reached at 800.625.1590 and [email protected]
Views: 1022 Ali Amirrezvani
CryptoKube Bitcoin Industrial Mining Solution
 
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Bitcoin industrial mining solution built by KubebeData Systems Inc. Modular and mobile data centers
03 Visualizing Data in RapidMiner Studio
 
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Download the sample tutorial files at http://static.rapidminer.com/education/getting_started/Follow-along-Files.zip
Views: 10471 RapidMiner, Inc.
How Bitcoin Works Under the Hood
 
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A somewhat technical explanation of how Bitcoin works. Want more? Check out my new in-depth course on the latest in Bitcoin, Blockchain, and a survey of the most exciting projects coming out (Ethereum, etc): https://app.pluralsight.com/library/courses/bitcoin-decentralized-technology Lots of demos on how to buy, send, store (hardware, paper wallet). how to use javascript to send bitcoin. How to create Ethereum Smart Contract, much more. Shorter 5 min introduction: https://www.youtube.com/watch?v=t5JGQXCTe3c Written version: http://www.imponderablethings.com/2013/07/how-bitcoin-works-under-hood.html My Bitcoin address: 13v8NB9ScRa21JDi86GmnZ5d8Z4CjhZMEd Arabic translation by Ahmad Alloush Spanish caption translation by Borja Rodrigo, [email protected], DFJWgXdBCoQqo4noF4fyVhVp8R6V62XdJx Russian caption translation by Alexandra Miklyukova Italian voice over: http://youtu.be/1aEf3qr7UdE Italian captions translated by Simone Falcini, 1H5KdCnBooxfqpXtyQBBAKKRU7MkCZCVCe
Views: 2639894 CuriousInventor
Buy It Again: Modeling Repeat Purchase Recommendations
 
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Authors: Rahul Bhagat (Amazon.com Inc.); Srevatsan Muralidharan (Amazon.com Inc.); Alex Lobzhanidze (Amazon.com Inc.); Shankar Vishwanath (Amazon.com Inc.) More on http://www.kdd.org/kdd2018/
Views: 353 KDD2018 video
September 19, 2016: Valora Webinar- "AutoClassifying Files by Matter Name and Number ."
 
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AutoClassification is far more accurate and consistent than users' manual efforts, and provides other benefits that manual data entry cannot, such as dynamic assessment of content security levels and AutoRedaction of sensitive info. After this Webinar you will understand how Valora's software, PowerHouse, utilizes a predefined taxonomy to capture and analyze information from a file, document or email and uses that information to associate it with the correct case matter, name and number. Sandra Serkes, President, Founder & CEO of Valora Technologies, Inc. and one of the leading Document Data Mining professionals in the industry presents real-world case scenarios.
Morgan Stanley May Lead Palantir IPO After a Decade of Courtship
 
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Sep.04 -- After a decade vying with Wall Street rivals, Morgan Stanley is emerging as the adviser-of-choice for Palantir Technologies Inc., Peter Thiel’s secretive data-mining and visualization venture. Bloomberg's Lizette Chapman reports on "Bloomberg Technology."
Views: 1629 Bloomberg Technology
08 New Business Models Presentation - Danielle Dupont, CSO
 Data Mining International
 
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New Business Models The goal of this session is to provide stimulating and innovative examples of business models that are based on the collection, aggregation, and re-use of health data in a manner that creates revenue opportunities for academia and other research entities, healthcare institutions, health data aggregators, and technology firms. • Moderator: Dr. Mats Sundgren, Coordinator of the European Innovative Medicine Initiative project EHR4CR • Danielle Dupont, Chief Scientific Officer,
Data Mining International • Jan Van Emelen, Director Innovation, MLOZ • Dr. Dipak Kalra, University College of London/University Hospital
Views: 969 EUSTRHD
Business Intelligence &  Data Mining - SeeMore Interactive
 
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Every activity performed with our technology can be tracked and measured. Let the numbers do the talking and increase conversion with fine-tuned marketing efforts based on open rates, dwell time, item and offer capture and social sharing. If you have any questions please feel free to call us at 614-543-0452 or contact us via email at [email protected] . Visit us at http://www.seemoreinteractive.com
Live Panel on Women In Data Science 20181205
 
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Panel on Important issues facing Women in the Data Science Community (Moderator) Sophia Viklund https://www.linkedin.com/in/sophiaviklund/ Sophia Viklund is an entrepreneur, public speaker, advisor, mentor to startups, investor, and an advocate of women and girls in STEM education (Science, Technology, Engineering and Mathematics). She is an investor with The Band of Angels. Sophia is currently centrally engaged as CEO and Founder of New Sun Technologies Inc., a Silicon Valley-based company that produces innovative products in the area of A.I. to improve the lives of the ageing population. Sophia is a technical board member of Open Source Vision Foundation, a global organization dedicated to computer vision, with over 30 million members worldwide. Dr. Hui Wang https://www.linkedin.com/in/hui-wang-395130/ is VP of Data Science for PayPal. Dr. Wang manages the data science team developing machine learning and data mining technologies for PayPal. Her team owns fraud and risk models that are backbones for PayPal’s Risk Management, as well as various data science solutions to support product, marketing, sales and customer service. She is expert in many machine learning technologies. Additionally, she plays a designer role in architecting many next generation analytic products to enable modern machine learning for real time detection and decision systems. Her team won ComputerWorld 2015 Data+ Editor’s Choice Award and she was the winner of 2016 Women in Payment Innovation Award. She holds B.S. in Computer Science from University of Science and Technology of China and Ph.D. in Statistics from University of California, Berkeley. Dr. Viji Krishnamurthy, https://www.linkedin.com/in/viji-krishnamurthy-3a63981/, leads analytics for IoT and Blockchain apps at Oracle. Viji is a specialist in applying AI/ML to industrial and consumer applications where self optimization and autonomy are desired. As a data scientist, Viji has helped to automate manufacturing decisions and helped to optimize product quality, supply chain and product pricing at various high tech manufacturing companies. Viji has also managed IoT platforms and released analytics rich applications for consumers and industrial users in Smart Building, Industrial IoT and Consumer Electronics companies. Viji holds a Ph.D. in Operations Research from Northwestern University and, is a proud Wildcat and a Sun Devil. Dr. Sheng You, https://www.linkedin.com/in/shengyou/, got her Ph.D. in Electrical Engineering at Northeastern University in 2014. She has been working in data science since 2013, most recently at FogHorn Systems Karen Ebert Matthys, Executive Director, External Partners, Institute for Computational & Mathematical Engineering at Stanford Univ. Karen develops relationships with companies interested in collaboration around machine learning, data science, computational math, and high performance computing. Karen is also an Advisory Board member for the Stanford Catalyst promoting inter-disciplinary research. Karen is co-Founder and co-Director of the Women in Data Science Conference which reached over 100,000 participants in 2018. Her previous positions include Director of Marketing Strategy at Cellular One, Lecturer at Stanford Graduate School of Business, Innovation Partner at SRI International, and management positions at Apple. http://www.meetup.com/SF-Bay-ACM/ http://www.sfbayacm.org/
Robot Scientist: Inferring Material Properties from Experimental Data: Part3
 
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"Robot Scientist: Inferring Material Properties from Experimental Data" by Dr. Michael Schmidt, founder of cutting edge scientific data mining technology company Nutonian, Inc. He gave a talk on Sat. 9/22/2012 at NextFab Studio. Dr. Schmidt and his colleague Dr. Hod Lipson have been named by Forbes magazine as #7 in the Forbes list of "most powerful data scientists"! for their Robot Scientist / Eureqa technology which has allowed computers to make discoveries in biology, physics, and engineering never before thought possible for artificial intelligence.
Views: 79 NextFab
Alexey Zinoviev - Java in production for Data Mining Research projects (Ru)
 
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Speaker: Alexey Zinoviev Topic: Java in production for Data Mining Research projects Abstract: Java is often criticized for hard parsing CSV datasets, poor matrix and vectors manipulations. This makes it hard to easy and efficiently implement certain types of machine learning algorithms. In many cases data scientists choose R or Python languages for modeling and problem solution and you as a Java developer should rewrite R algorithms in Java or integrate many small Python scripts in Java application. But why so many highload tools like Cassandra, Hadoop, Giraph, Spark are written in Java or executed on JVM? What the secret of successful implementation and running? Maybe we should forget old manufacturing approach of dividing on developers and research engineers in production projects? During the report, we will discuss how to build full Java-stack Data Mining application, deploy it, make charts, integrate with databases, how to improve performance with JVM tuning and etc. Attendees of my talk will become familiar with the development and deploy of an research Java projects, Hadoop/Spark basics and will get useful tips about possible integration ways.
Views: 164 jetconf
Artificial Intelligence - Annual Meeting 2018 | Documentary (Advexon) #Advexon
 
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About conference Hear, Explore and learn the latest research. Present before distinguished global audience. Collaborate, build partnerships and experience USA. Join the global academic community. Conference Series LLC Ltd. invites all the participants across the globe to attend the 5th International conference on Artificial Intelligence during April 16-17, 2018 at Las Vegas, Nevada, USA. Artificial Intelligence 2018 includes prompt keynote presentations, Oral talks, Poster presentations and Exhibitions. Artificial Intelligence 2018 aims in proclaim knowledge and share new ideas amongst the professionals, industrialists and students from research area of Artificial Intelligence to share their research experiences and indulge in interactive discussions at the event. This scientific gathering guarantees that offering the thoughts and ideas will enable and secure you the theme “Surging into the future of Artificial Intelligence”. Artificial Intelligence is the latest trending technology in many fields especially in industries like manufacturing, control systems, Data mining, etc. The current era fully rolled out with many new Artificial Intelligence technologies. In such case more Software companies and industries were newly introduced within market which obviously shows the market growth of Artificial Intelligence. While analyzing the revenue growth of Artificial Intelligence, it highly developed from $150 billion USD to $250 billion USD since from 2010-2015. And the annual growth percentage increases from 20-55 percentages, which clearly shows that Software technology contains huge scope in coming years. Due to incredible technology development, the industries are trying to reduce man power where they trying to increase automation function in various sectors. Now artificial intelligence is used in each and every company where machines are involved and some or other process is involved. Many fields like robotics, mechatronics, control systems, electronics, wireless, laser technology, automotive motors are depended only on this Automation functions. The conference organizers aim is to gather the researcher’s academicians and scientists from the field of Data Mining and Artificial Intelligence community to create an approach towards global exchange of information on technological advances, new scientific innovations, and the effectiveness of various regulatory programs towards artificial Intelligence. Target Audience: Artificial Intelligence Lab Directors/Associates, Robotics Lab Directors Head of the Departments from the field of Artificial Intelligence, Automation & Robotics, Data Mining, Mechatronics, Control systems According to TechSci Research report, "United States Artificial Intelligence Market, By Application, By Region, By End User Competition Forecast & Opportunities, 2011-2021", the artificial intelligence market in the US is projected to grow at a CAGR of 75% during 2016 - 2021 on account of growing artificial intelligence technology adoption in consumer electronic devices, research and developmental activities in healthcare industry, unmanned aerial vehicles, autonomous cars, etc. This research evaluates enterprise robotics in the United States including companies, technologies, and solutions across industry verticals and applications. The report includes forecasts by industry vertical/application for 2017 through 2021. Leading industry verticals are beginning to see improved operational efficiency through the introduction of robotics and Artificial Intelligence (AI). Robotics investment in many industries represents a substantial capital expenditure with the potential to dramatically reduce operational expenses through resource optimization, quality improvement, and waste reduction. Robotics in business will accelerate as less expensive hardware and improvements in AI lead to improved cost structures and increased integration with enterprise software systems respectively. The massive amount of data generated by robotics will create opportunities for data analytics and AI-enabled decision support systems. Emerging areas for enterprise robotics include Robotics as a Service, Cloud Robotics, and General Purpose Robotics. * Subscribe for more Scientific & Technological Videos * Like & Share * go to our website http://www.advexon.com * Share your ideas and comment artificial intelligence ai national geographic documentary bbc documentary (Advexon)
Views: 20868 ADVEXON TV
Webinar: ChemAxon technology in KNIME workflow management
 
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KNIME is an open source data analytics, reporting and integration platform. Chemical data analysis and data mining is supported within the KNIME framework through the JChem Extension nodes developed by Infocom Inc. Based around ChemAxon's discovery toolkit we will give an introduction to the technology available via the JChem Extension Nodes in KNIME. The webinar will highlight practical user aspects through real life examples, mainly focusing on virtual library design and analysis, as well as document processing for chemical research.
Views: 1311 ChemAxon
Data Mining  High impact Strategies   What You Need to Know  Definitions  Adoptions  Impact  Benefit
 
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https://store.theartofservice.com/data-mining-high-impact-strategies-what-you-need-to-know-definitions-adoptions-impact-benefits-maturity-vendors.html In easy to read chapters, with extensive references and links to get you to know all there is to know about Data Mining right away, covering: Data mining, Able Danger, Accuracy paradox, Affinity analysis, Alpha algorithm, Anomaly detection, Apatar, Apriori algorithm, Association rule learning, Automatic distillation of structure, Ball tree, Biclustering, Big data, Biomedical text mining, Business analytics, CANape, Cluster analysis, Clustering high-dimensional data, Co-occurrence networks, Concept drift, Concept mining, Consensus clustering, Correlation clustering, Cross Industry Standard Process for Data Mining, Cyber spying, Data Applied, Data classification (business intelligence), Data dredging, Data fusion, Data mining agent, Data Mining and Knowledge Discovery, Data mining in agriculture, Data mining in meteorology, Data stream mining, Data visualisation, DataRush Technology, Decision tree learning, Deep Web Technologies, Document classification, Dynamic item set counting, Early stopping, Educational data mining, Elastic map, Environment for DeveLoping KDD-Applications Supported by Index-Structures, Evolutionary data mining, Extension neural network, Feature Selection Toolbox, FLAME clustering, Formal concept analysis, General Architecture for Text Engineering, Group method of data handling, GSP Algorithm, In-database processing, Inference attack, Information Harvesting, Institute of Analytics Professionals of Australia, K-optimal pattern discovery, Keel (software), KXEN Inc., Languageware, Lattice Miner, Lift (data mining), List of machine learning algorithms, Local outlier factor, Molecule mining, Nearest neighbour search, Neural network, Non-linear iterative partial least squares, Open source intelligence, Optimal matching, Overfitting, Principal component analysis, Profiling practices, RapidMiner, Reactive Business Intelligence, Receiver operating characteristic, Ren-rou, Sequence mining, Silhouette (clustering), Software mining, Structure mining, Talx, Text corpus, Text mining, Transaction (data mining), Weather data mining, Web mining, Weka (machine learning), Zementis Inc.
Views: 158 TheArtofService

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