Get Started in Text Analytics
Text analytics / text mining is the natural extension of predictive analytics and has wide applications in marketing, business, and many industries. Learn text analytics with Statistics.com online program that starts Feb 6.
on Sep 30, 2014 in Natural Language Processing, NLTK, Online Education, Sentiment Analysis, Statistics.com, Text Analytics, Text Mining
Associations and Text Mining of World Events
Applying frequent itemset analysis to text may seem daunting, but parallel hardware and two insights open the door to theme extraction.
on Sep 30, 2014 in Association Rules, Chris Painter, GPU, Neo4j, Text Mining
Taming the Internet of Things – KNIME Case Study
With increasing interest in the Internet of Things (IoT), see how KNIME can be applied to collect data from IoT sensors, enrich that data, transform it, analyze it, and finally visualize it.
on Sep 30, 2014 in Internet of Things, IoT, Knime, Rosaria Silipo, Smart City
Top KDnuggets tweets, Sep 26-28: Any data scientist worth their salary will say you should start with a question
CNN embarrassing lack of "Data Quality" - this #Scotland Independence poll adds; Statistical & Machine learning with R; Any data scientist worth their salary will say you should start with a question; Automotive Customer Churn Prediction using SVM and SOM.
on Sep 29, 2014 in Churn, Data Quality, Jake Porway, SOM, SVM
GDELT: Big Data of News, Conflicts, and Society
What is happening in this world today? Obviously, it is impossible for us to read and analyze billions of news reports published every day. GDELT is designed to record, analyze, visualize and even forecast our planet.
on Sep 29, 2014 in Big Data, BigQuery, GDELT, Google, Kalev Leetaru, Ran Bi
Upcoming Webcasts on Analytics, Big Data, Data Science – Sep 30 and beyond
Not all graph databases are created equal, Evolution of Classification, Governing Big Data, Big Data Visualization, Best Practices for Applying Advanced Analytics in Hadoop, and more.
on Sep 29, 2014 in Classification, Data Visualization, Graph Databases, NASA
Automotive Customer Churn Prediction Results, part 2
Learn how to apply neural networks and self-organizing maps to visualize the macroscopic relationships between clients and the maintenance evolution of cars over the years.
on Sep 29, 2014 in Churn, Gregory Philippatos, Neural Networks, Predictive Analytics, Visualization
Top stories for Sep 21-27: Data Science is mainly a Human Science; Data Analytics for Business Leaders Explained
Neural Networks and Deep Learning, free online book (draft); Data Science is mainly a Human Science; Data Analytics for Business Leaders Explained; Predictive Analytics in Health Care.
on Sep 28, 2014 in Data Analytics, Data Science, Healthcare, Human Analytics, Neural Networks, Poll, Top stories
Automotive Customer Churn Prediction using SVM and SOM
A Case Study of predicting customer churn using Life Time Cycle approach and advanced machine learning methods including SVM and Self-Organizing Mapping.
on Sep 27, 2014 in Churn, Gregory Philippatos, Predictive Analytics, Product Analytics
Top KDnuggets tweets, Sep 24-25: Statistical & Machine learning with R, great 15 hour online course
Watch: Statistical and Machine learning with R, 15 hour online course; 50 Data Science and Statistics Blogs worth reading; Microsoft: Data Scientist; Book: Frequent Pattern Mining.
on Sep 26, 2014 in Blogs, Frequent Pattern Mining, Machine Learning, Microsoft, R, Statistical Learning
Apache Spark: O’Reilly Certification, EU Training, University Program
Recent news on Apache Spark includes developer certification from O'Reilly, upcoming training workshops in EU by Databricks, and Spark tutorial events at major universities.
on Sep 26, 2014 in Academics, Apache Spark, Big Data, Certification, Databricks, Paco Nathan, Strata, Training
Book: Frequent Pattern Mining
Frequent pattern mining is one of the distinguished problems in data mining. Learn about methods, domains, and applications of frequent pattern mining in this comprehensive survey of the field.
on Sep 25, 2014 in Charu Aggarwal, Frequent Pattern Mining, Jiawei Han
Lewis University Online MS in Data Science
The Lewis online, 36 credit hour MS in Data Science degree program teaches advanced skills to effectively solve the math and computer science issues surrounding the analysis of large data sets.
on Sep 25, 2014 in Data Science Education, Lewis University, Master of Science, Online Education
Top KDnuggets tweets, Sep 22-23: Machine Learning for (Smart) Dummies: 7 week course
Machine Learning for (Smart) Dummies: 7 week course; Ex-Googler shares his #BigData secrets, creates Quest; Predicting crime with #BigData - "Minority Report" for real; Test Your Level of Expertise with SAS, R, and Python.
on Sep 24, 2014 in Crime, Google, Machine Learning, Python, R, SAS
Predictive Analytics Using Oracle Data Miner
Learn about basic data mining concepts and how to apply data mining techniques to your data using Oracle SQL and Data Miner tools in this new book.
on Sep 24, 2014 in Book, Brendan Tierney, Data Mining, Oracle, Predictive Analytics
Advanced Data Analytics for Business Leaders Explained
A business-level explanation of most important data analytics and machine learning methods, including neural networks, deep learning, clustering, ensemble methods, SVM, and when do use what models.
on Sep 24, 2014 in Alex Jones, Algorithms, Business Analytics, Business Leader, Data Analytics, Ensemble Methods, Neural Networks
KDnuggets 14:n25, Data Science is mainly a Human Science; edX Learning from Data
KDnuggets Analytics, Big Data, Data mining, and Data Science stories: Data Science is Mainly a Human Science; "Learning From Data" Caltech course - free on edX; Neural Networks and Deep Learning, free online book and more.
on Sep 24, 2014 in Data Science, Deep Learning, edX, Learning from Data, Neural Networks
PACE Data Mining Boot Camps, Oct 15-16, San Diego
The PACE Boot Camps provide conceptual and hands-on training for the critical predictive data analytics techniques that help discover actionable patterns in Big Data. Reg by Oct 10 for a discount.
on Sep 23, 2014 in Bootcamp, Data Mining, PACE, San Diego-CA, SDSC
COMAD India Graph Mining Programming contest
Compete in the graph mining programming competition at COMAD 2014 and apply your skills to finding subcommunities in networks. Registration deadline is October 15th, and code must be submitted by October 27th.
on Sep 23, 2014 in Competition, Graph Analytics, Graph Mining, Programming
Data Science is mainly a Human Science
Data Science is mainly a Human Science: in latest KDnuggets Poll, 62% of data scientists worked only/mostly on human data. At the same time, most data scientists worked with both human and machine data.
on Sep 23, 2014 in Data Science, Human Analytics, Poll
NYU Stern Master of Science in Business Analytics
The NYU Stern MS in Business Analytics teaches experienced professionals how to understand the role of evidence-based data in decision-making and to leverage Big data as a valuable strategic asset. Learn more.
on Sep 23, 2014 in Business Analytics, Master of Science, New York-NY, NYU
Predictive Analytics in Health Care: Helping to Navigate Uncertainties and Change
Predictive analytics can help navigate the many coming changes in US healthcare, including aging population, less money, impact of ACA (Obamacare) - especially on pharmaceutical and medical supplies, the R&D process, investment and new product launches.
on Sep 23, 2014 in ACA, Aging, Healthcare, Lana Klein, Pharma, Predictive Analytics, Walgreen
Top KDnuggets tweets, Sep 19-21: Dilbert funniest cartoons on #BigData, data mining; Guess which pattern is random
Guess which pattern is random, which machine-generated? Dilbert 20 funniest cartoons on #BigData, data mining, privacy; Data Scientist Cartoon; Neural Networks and Deep Learning, free online book (draft).
on Sep 22, 2014 in Cartoon, Deep Learning, Dilbert, Free ebook, Neural Networks, Random
Upcoming Webcasts on Analytics, Big Data, Data Science – Sep 22 and beyond
Future of Hadoop Analytics, What Works: Open Source Analytics Software, Data Mining: Failure To Launch, Evolution of Classification, Not all Graph Databases are created equal, Best Practices for Applying Advanced Analytics in Hadoop, and more.
on Sep 22, 2014 in Classification, Data Mining, Failure to Launch, Hadoop, NASA, Salford Systems
Data Analytics for Business Leaders Explained
Learn about a variety of different approaches to data analytics and their advantages and limitations from a business leader's perspective in part 1 of this post on data analytics techniques.
on Sep 22, 2014 in Alex Jones, Algorithms, Business Leader, Classification, Data Analytics, Decision Trees, Linear Programming, Regression
WCAI Research Opportunity: Understanding, Expanding, and Predicting Customer Engagement
A new consumer interaction dataset from an international beauty retailer will provide researchers with an opportunity to investigate the interaction between customers and brands. Register for the Oct 17 webinar, and submit proposals by Nov 3.
on Sep 22, 2014 in Anonymized, Customer Behavior, Research proposal, WCAI, Wharton
Key Bioinformatics Terms for Data Scientists
Learn key bioinformatics terms including the various "-omics" and the differences between the types of DNA and RNA to help you understand one of the key applications of data science.
on Sep 22, 2014 in Bioinformatics, DNA, Glossary, John Unikowski, RNA
INFORMS Analytic Maturity Model
Inspect your organization, its analytics capacity, and its data and infrastructure using the new INFORMS Analytic Maturity Model to improve its analytics abilities for free.
on Sep 21, 2014 in Analytics, INFORMS, Maturity Model
Top stories for Sep 14-20: Coursera Mining Massive Datasets MOOC; Rattle package for Data Mining in R
Coursera / Stanford Mining Massive Datasets MOOC; Rattle package for Data Mining and Data Science in R; edX "Learning From Data"; Caltech course; Neural Networks and Deep Learning, free online book (draft).
on Sep 21, 2014 in Coursera, edX, Free ebook, Learning from Data, Mining Massive Datasets, MOOC, Neural Networks, R, Rattle, Stanford, Top stories
Neural Networks and Deep Learning, free online book (draft)
A free online book explaining the core ideas behind artificial neural networks and deep learning (draft), with new chapters added every 2-3 months.
on Sep 20, 2014 in Deep Learning, Free ebook, Michael Nielsen, Neural Networks
Top KDnuggets tweets, Sep 17-18: 20 questions to ask a Data Scientist; Business Analytics ROI is 1301%
20 questions you should ask a Data Scientist for a good conversation; Mad (Data) Scientist asks: "Why Are We Still Teaching t-tests?"; Great slides from @RDataMining: Intro, Data Exploration, Regression, Classification; Rattle package for Data Mining and Data Science in R.
on Sep 19, 2014 in Business Analytics, Data Scientist, R, Rattle, ROI, Statistics
CuDNN – A new library for Deep Learning
Becoming more and more popular, deep learning is proved to be useful in artificial intelligence. Last week, NVIDIA’s new library for deep neural networks, cuDNN, has attracted much attention.
on Sep 19, 2014 in Convolutional Neural Networks, Deep Learning, GPU, NVIDIA, Yann LeCun
edX “Learning From Data” Caltech course
This introductory Machine Learning course taught by top Caltech professor Abu-Mostafa covers theory, algorithms and applications, with focus on real understanding. Starts Sep 25 on edX.
on Sep 18, 2014 in Caltech, edX, Learning from Data, Machine Learning, MOOC, Yaser Abu-Mostafa
RapidMiner Resources: Educational Videos, Course
RapidMiner videos focus on important and fundamental aspects of this software suite; the site also offers a "RapidMiner Analyst Preparation" Course of 43 videos which prepares learners to take the official RapidMiner Analyst exam.
on Sep 18, 2014 in Markus Hofmann, Online Education, RapidMiner
Most Viewed Web Mining Lectures
Discover interesting lectures on topics like mining information networks and identifying influential members of online communities in this list of the top viewed web mining lectures on videolectures.net.
on Sep 18, 2014 in Text Mining, Videolectures, Web Analytics, Web Mining
Analytics Team Dissolution – Unique Case Study
This unique case helps to understand how to build and lead an effective business analytics team, by learning from the sharp decline of one such team.
on Sep 18, 2014 in Analytics Team, Chief Analytics Officer, Randy Bartlett
KDnuggets 14:n24, Hiring Data Scientists; Most Viewed Machine Learning, Data Mining Talks
KDnuggets Analytics, Big Data, Data mining, and Data Science stories, including Features, Software, News, Opinions, Interviews, Reports, Webcasts, Courses, Meetings, Jobs, Academic, Publications, Tweets, and CFP.
on Sep 18, 2014 in Data Scientist, Hadoop, Machine Learning, MOOC, Process Mining, Uplift Modeling, Videolectures
10 reasons to attend the Analytics 2014 conference
Don't miss Analytics 2014 conference, at Bellagio Las Vegas, Oct 20-21. Here are the top 10 reasons why you should attend, including a KDnuggets discount.
on Sep 17, 2014 in Analytics, Las Vegas-NV, SAS
PAW: Predictive Analytics World Boston, Learn Uplift Modeling
Uplift modeling is a hot analytical method to predict influence, and its adoption is rapidly growing. Learn how to do it at several sessions at PAW Boston, Oct 5-9. KDnuggets Discount.
on Sep 17, 2014 in Boston-MA, Eric Siegel, PAW, Predictive Analytics World, Uplift Modeling
Top KDnuggets tweets, Sep 15-16
14 Awesome (and Free) Data Science Books on Statistical and Machine Learning; Mining Massive Datasets, free on Coursera, by top Stanford researchers - starts Sep 29; Nike: Senior Data Scientist.
on Sep 17, 2014 in Coursera, Data Mining Books, Free ebook, Mining Massive Datasets, MOOC, Nike
Webinar: Learn Analytics Best Practices for Hadoop
Learn how to overcome some of the main challenges of Hadoop and successfully implement your own advanced analytics in a big data Hadoop environment. Free RapidMiner Webinar, Oct 2.
on Sep 17, 2014 in Best Practices, Hadoop, Radoop, RapidMiner
Rattle package for Data Mining and Data Science in R
Try the newly-released version of Rattle, the open source R package for data mining, and enjoy accessing a huge array of data mining algorithms through a convenient interface.
on Sep 17, 2014 in Data Mining Software, Free Software, Graham Williams, Open Source, R, Togaware
Top KDnuggets tweets, Sep 10-14: Most Viewed Machine Learning and Text Mining Talks
Most Viewed Machine Learning Talks and Text Mining Lectures at Videolectures; 3 Marks of Real #DataScience; MOOC: Process Mining: Data science in Action.
on Sep 16, 2014 in Machine Learning, MOOC, Process Mining, Text Mining, Videolectures
Coursera / Stanford Mining Massive Datasets MOOC
Don't miss this Big Data MOOC on Coursera (free)! Top Stanford researchers teach efficient and scalable methods for extracting models and other information from very large amounts of data. Starts Sep 29.
on Sep 16, 2014 in Anand Rajaraman, Coursera, Data Science Education, Jure Leskovec, Mining Massive Datasets, MOOC, Stanford
Text Analytics Summit 2014, San Francisco, Nov 4-5
13th Annual Text Analytics Summit West will be back in San Francisco Nov 4-5, with workshops on Nov 3. Join text analytics practitioners, vendors, visionaries and thought leaders from top companies. KDnuggets discount.
on Sep 16, 2014 in San Francisco-CA, Text Analytics, Unstructured data, Yahoo
Upcoming Webcasts on Analytics, Big Data, Data Science – Sep 16 and beyond
NASA Earth Science, Modern Regression Analysis, Strata + Hadoop NYC preview, Data Mining: Failure To Launch, Data Science with R, Not All Graph Databases Are Created Equal, and more.
on Sep 16, 2014 in BigML, Failure to Launch, NASA, Ontotext, Regression
INFORMS The Business of Big Data 2014: Day 2 Highlights
Highlights from the presentations by Big Data leaders from Accenture, Analytics Media Group, SAS and Intel on day 2 of INFORMS The Business of Big Data.
on Sep 15, 2014 in Accenture, Analytics, Big Data, Hadoop, INFORMS, Intel, San Jose-CA, SAS
Top stories for Sep 7-13: Hiring Data Scientists; MOOC – Process Mining
Hiring Data Scientists: What to look for?; MOOC: Process Mining: Data science in Action; Most Viewed Machine Learning Talks at Videolectures.
on Sep 14, 2014 in Data Scientist, Machine Learning, MOOC, Process Mining, Top stories, Videolectures
Exclusive Interview: Imran Siddiqi, SAP on Why the Business needs Ambitious Big Data Use Cases
We discuss the selection and tracking of use cases, key points for designing a sustainable information architecture, the need for ambitious use cases, SAP's competitive differentiation, and more.
on Sep 13, 2014 in Advanced Analytics, Architecture, Business Strategy, Imran Siddiqi, Industry, Interview, SAP, Use Cases, Vendors
Customer Analytics Summit 2014 Chicago: Day 2 Highlights
Highlights from the presentations by Big Data & Analytics experts from Microsoft, Sears Holdings and Obama for America on day 2 of Customer Analytics Summit 2014.
on Sep 12, 2014 in Analytics, Chicago-IL, Conference, Data Mining, IE Group, Machine Learning, Microsoft, Obama for America, Sears Holdings
Most Viewed Text Mining Lectures
View some of the most popular text mining lectures from videolectures.net and learn about topics including mining web data and building large-scale information retrieval systems.
on Sep 12, 2014 in Information Retrieval, Text Analytics, Text Mining, Tutorials, Videolectures
What is Big Data – answers from thought leaders
What do you think when you hear “big data”? Maybe take a moment and think about this, before you let all the opinions below influence you.
on Sep 12, 2014 in About Gregory Piatetsky, Big Data, Drew Conway, Hilary Mason, Michael Cavaretta
Top KDnuggets tweets, Sep 3-9: What is Big Data – definitions from thought leaders
What Is #BigData? Definitions from 40+ thought leaders; Fewer companies are hiring Data Scientists but #DataScience is still hot; Choosing the right estimator scikit-learn #CheatSheet; How do Twitter Analytics show followers gender, when they dont ask?
on Sep 12, 2014 in Big Data, scikit-learn, Twitter
Exclusive Interview: Imran Siddiqi, SAP on the Strategic Value Proposition of Big Data
We discuss the impact of Big Data advancements on business strategy, value proposition of Big Data, importance of partnerships, key risks and mitigation strategy, how to win sustained patronage for Big Data projects and more.
on Sep 11, 2014 in Advanced Analytics, Big Data, Business Intelligence, Business Strategy, Imran Siddiqi, SAP, Use Cases, Value Proposition, Vendors
Customer Analytics Summit 2014 Chicago: Day 1 Highlights
Highlights from the presentations by Big Data & Analytics experts from ShareThis, Netflix and Ancestry on day 1 of Customer Analytics Summit 2014.
on Sep 11, 2014 in Chicago-IL, Conference, Customer Analytics, IE Group, Netflix, Recommendations, ShareThis
Most Viewed Machine Learning Talks at Videolectures
Discover lectures from a variety of summer schools and conference tutorials on machine learning in this list of the top lectures on the subject from videolectures.net.
on Sep 11, 2014 in Machine Learning, Summer School, Tutorials, Videolectures
Interview: Joe Otto, Alpine on Selecting the Right Big Data Vendor
We discuss Big Data vendor landscape, key relevant questions, Alpine's competitive differentiation, important qualities sought in data scientists, and more.
on Sep 10, 2014 in Alpine, Collaboration, Competition, Hadoop, Interview, Joe Otto, Skills, Vendors
MOOC: “Process Mining: Data science in Action”
This 6 week online course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains.
on Sep 10, 2014 in Coursera, Data Science Course, Datasets, MOOC, Process Mining
Most Viewed Big Data Talks at Videolectures
Learn about topics ranging from applying big data to industrial settings to using machine learning on big data knowledge graphs from these big data lectures on videolectures.net.
on Sep 10, 2014 in Big Data, Data Science, Tutorials, Videolectures
Interview: Joe Otto, Alpine on Why Big Data is all about Empowerment & Collaboration
We discuss the story of Alpine Data Labs, the recent recognition of Alpine, effect of YARN, major customer use cases, and challenges in consumerizing Big Data.
on Sep 9, 2014 in Advanced Analytics, Alpine, Collaboration, Hadoop, Interview, Joe Otto, Startup, Use Cases, YARN
Hiring Data Scientists: What to look for?
Know key characteristics of what makes up a good data scientist based upon the three authors’ consulting and research experience, having collaborated with many companies world-wide on the topics of big data and analytics.
on Sep 9, 2014 in Analytics, Big Data, Business, Data Mining, Data Scientist, Hiring, Programming, Skills, Statistics
Most Viewed Data Mining Talks at Videolectures
Watch the top 25 most viewed popular data mining lectures on VideoLectures.NET to learn about topics ranging general big-data tutorials to monetizing data mining startups.
on Sep 9, 2014 in Big Data, Data Mining, Data Mining Training, Data Science, Tutorials, Videolectures
Upcoming Webcasts on Analytics, Big Data, Data Science – Sep 9 and beyond
Modern Regression Analysis, Tamr and Forrester Research, Hadoop for Machine Learning, NASA Earth Science Data, Strata + Hadoop NYC preview, and more.
on Sep 9, 2014 in Hadoop, Machine Learning, NASA, Regression, Tamr
Founders of Yahoo! and MySQL Invest in Import.io
Import.io raises $3M round from Jerry Yang and David Axmark. Released a streamlined version of web data extraction tool with exciting new features.
on Sep 8, 2014 in Data, Funding, import.io, Jerry Yang, MySQL, Tools, Training, Yahoo
Top stories for Aug 31 – Sep 6
Sibyl: Google system for Large Scale Machine Learning; Four main languages for Analytics; Cartoon: Robot Labor Day 2050; Exclusive: Ajay Bhargava, TCS shares the Big Data Mantra.
on Sep 8, 2014 in Ajay Bhargava, Cartoon, Google, Machine Learning, Sibyl, Top stories
Exclusive Interview: Ajay Bhargava, TCS on the Ideal Analytics Curriculum at Graduate-level
We discuss the differences between analytics and Big Data, the evolution of expectations from data science, important qualities desired in data scientists, ideal curriculum for Analytics focused programs, advice and more.
on Sep 5, 2014 in Advice, Ajay Bhargava, Analytics, Big Data, Education, Interview, Predictions, TCS, Trends
Exclusive Interview: Ajay Bhargava, TCS shares the Big Data Mantra: Harness Data and Harvest Value
We discuss how to tame Big Data through harnessing data and harvesting value, the top Big Data priorities in Insurance sector, short-term and long-term needs of Healthcare Analytics, and more.
on Sep 4, 2014 in Ajay Bhargava, Big Data, Challenges, Descriptive Analytics, Healthcare, Insurance, Interview, Opportunities, Predictive Analytics, TCS
Top stories in August: Four main languages for Analytics, Data Mining, Data Science
Also Deep Learning resources; Sibyl - Google system for Large Scale Machine Learning; Exclusive: Dell Management on Analytics.
on Sep 4, 2014 in Analytics Languages, Deep Learning, Dell, Google, Pedro Domingos, Sibyl, Top stories
SAS Analytics 2014, Las Vegas, October
Join nearly a thousand analytics professionals at the Analytics 2014 conference in Las Vegas on Oct 20-21. Learn new skills. Grow your network. Have fun! Big KDnuggets discount.
on Sep 4, 2014 in Analytics, John Elder, Las Vegas-NV, SAS
Northwestern Online Master of Science in Predictive Analytics
Build in-demand skills for the growing analytics field, prepare for leadership-level career, learn from distinguished faculty and industry experts, and build analytic expertise.
on Sep 4, 2014 in Data Science Education, Master of Science, Northwestern, Online Education, Predictive Analytics
August 2014 Analytics, Big Data, Data Mining Acquisitions and Startups Activity
August 2014 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Infosys, Enlitic, Guavus, Google buys Jetpac, Algorithmia, MedAssets buys Sq2, Yahoo buys Zofari, Adatao.
on Sep 3, 2014 in Acquisitions, Companies, Deep Learning, GE, Google, Startups, Yahoo
Top KDnuggets tweets, Sep 1-2
#DataMining Reddit using Python and R #rstats; Is @TheEconomist wrong? Money does "buy" happiness, on the log-log scale; Facebook Data Scientists: Who Are They and What Do They Do; Online Master of Science in Data Science.
on Sep 3, 2014 in Big Data Privacy, Facebook, Happiness, KDD-2014, Python, Reddit
Shifting CXO crowns and changing Analytics Leadership
Learn about how the analytics landscape has shifted in recent years and how this has pushed the CXO to pursue higher levels of analytics competition to meet business needs.
on Sep 3, 2014 in Analytics Leader, Chief Data Officer, Competition, Debleena Roy, Tom Davenport
CoLaboratory: Doing Data Science Collaboratively Like Google Doc
A review of CoLaboratory which enables data scientists to write code like on Google Doc.
on Sep 3, 2014 in Chrome, Data Science, Google, Google Colab, IPython
KDnuggets 14:n23, My KDD-2014 Report; Data Science for Humans or Machines? Labor Day 2050
KDnuggets Analytics, Big Data, Data mining, and Data Science stories, including my KDD-2014 report: The Biggest, Best, and Booming Data Science Meeting; The Magic Module network and Privacy vs Big Data; Sibyl: Google system for Large Scale Machine Learning.
on Sep 3, 2014 in
Sep 2014 – Mar 2015 Meetings in Analytics, Big Data, Data Mining, and Data Science
Coming soon: PAW Gov, ECML/PKDD, BayesiaLab UC, Big Data Innovation Summit, PAW Boston, PAW Healthcare, RecSys, Strata + Hadoop NYC, Analytics 2014, BigData TechCon, Data Analytics Week, Text Analytics Summit West,and many more.
on Sep 3, 2014 in Big Data, Boston-MA, Data Mining, Data Science, London-UK, San Francisco-CA
BayesiaLab User Conference, Sep 16-24, UCLA
Research practitioners from leading organizations will gather at UCLA for the only event dedicated to applied research and analytics with Bayesian networks and BayesiaLab. Pre-conference program includes courses on BayesiaLab and Causal Inference with Graphical Models.
on Sep 2, 2014 in BayesiaLab, Bayesian Networks, Judea Pearl, Los Angeles-CA, UCLA
Online Master of Science in Data Science
Lewis University online MS in Data Science program offers two concentrations: Data Science for Computer Scientists and Data Science for Life Scientists.
on Sep 2, 2014 in Data Science Education, Lewis University, Master of Science, Online Education
Webcast – Analytically Speaking Featuring Michael J. A. Berry and Gordon S. Linoff
Berry and Linoff talk about the current data mining landscape, including new methods, new types of data and the importance of using the right analysis for your problem.
on Sep 2, 2014 in Analytically Speaking, Data Mining, Gordon Linoff, JMP, Michael Berry
PAW: Predictive Analytics World London, October
See Dr. John Elder in London at the leading Predictive Analytics conference, and get KDnuggets Discount - 15% off full conference passes to Predictive Analytics World London.
on Sep 2, 2014 in John Elder, London-UK, PAW, Predictive Analytics World
KDD-2014 report, part 2: The Magic Module network and Privacy vs Big Data
Here is part 2 of my report on KDD-2014, the biggest and the best Data Science meeting: The Magic Module genes, Privacy vs Big Data, and should we ask for consent of data subjects?
on Sep 2, 2014 in Big Data, Eric Schadt, Healthcare, KDD-2014, Privacy, Rakesh Agrawal, Rayid Ghani, Sendhil Mullainathan
Ontotext text mining, semantic search, and graph database
Ontotext blends text mining, semantic annotation and semantic search with a graph database that infers new meaning at scale, helping organizations find meaning in large volumes of structured and unstructured data.
on Sep 2, 2014 in Atanas Kiryakov, Graph Databases, Ontotext, RDF, Semantic Analysis, Text Mining, Tony Agresta
Analytical Skills Survey for 2014
Have your voice be heard - participate in the Analytical Skills, Tools and Attitudes Survey 2014, and see the challenges faced by others.
on Sep 2, 2014 in Lavastorm, Skills, Survey
Age homophily for predicting age of mobile phone customers
Homophily (a tendency of people to associate with others like them) is ubiquitous in real world and in social networks. We show the existence of age homophily in a mobile phone communication network and exploit it to predict the age group for all users in the network.
on Sep 2, 2014 in Grandata, Graph Analytics, Jorge Brea, Mobile Phone Usage, Social Networks
New Poll: Did you do Data Science for Humans or for Machines?
Did you do mainly Data Science for Humans (explainable models for a human decision maker), Data Science for Machines (accuracy-oriented black-box models for automated algorithms), or both? Please vote.
on Sep 1, 2014 in Data Science, Humans vs Machines, Poll
Upcoming Webcasts on Analytics, Big Data, Data Science – Sep 2 and beyond
Streaming Analytics, Analytical Lifecycle, Modern Regression Analysis, Hadoop for Machine Learning, NASA Earth Science Data, Strata + Hadoop NYC preview, Ontotext, and more.
on Sep 1, 2014 in Hadoop, NASA, Real-time, Regression
Top KDnuggets tweets, Aug 29-31: Data Analytics vs Predictive Modeling vs …; 100 top machine learning talks
Data Analytics vs Predictive Modeling vs Data Mining vs Big Data; 100 most popular machine learning talks at videolectures; Intro to parallel iterative Deep Learning on Hadoop YARN; Jeremy Howard answers why he left Kaggle and what are his plans now.
on Sep 1, 2014 in Data Analytics, Deep Learning, Enlitic, Hadoop, Jeremy Howard, Machine Learning, YARN
Cartoon: Robot Labor Day 2050
Amidst all the discussion about robots and automation taking over human jobs, new KDnuggets cartoon looks at how Labor Day can evolve by 2050.
on Sep 1, 2014 in Cartoon, Labor Day, Robots
Additions to KDnuggets Directory in August
New analytics, data science, data mining top stories page, meetings, KDD-2015, Certificates and Certification option, Data Analytics BS, software for text analytics and visualization and more.
on Sep 1, 2014 in Certificate, Data Science Education, Data Visualization, Text Analytics
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