Topics: 
Jan
2015 February
All (104) | Courses, Education (13) | Meetings (7) | News, Features (19) | Opinions, Interviews, Reports (30) | Publications (6) | Software (10) | Top Tweets (12) | Webcasts (7)
- 5 Lessons from a Data Science Chat
- Mar 19, 2015.
Data science applications, key challenges, appropriate skills and more – key takeaways from a data science Tweet chat.
- IEEE ICDM 2015 Call for Data Mining Contest/Competition Proposals, due Mar 29
- Feb 28, 2015.
We invite proposals for the ICDM 2015 Data Mining Contest, which is an integral part of the IEEE ICDM conference and provides an opportunity for teams of scientists and domain experts to compete in order to develop data mining techniques for real-world applications.
- Brandeis Analytics Symposium, Apr 8: Industry Insights into Data and Intelligence
- Feb 27, 2015.
The Apr 8 Brandeis Analytics symposium will focus on promoting a discussion of the growing field of analytics and how organizations can leverage big data to make more strategic decisions.
- Strata + Hadoop World 2015 San Jose – report and highlights
- Feb 27, 2015.
Highlights of Strata + Hadoop World San Jose, including Apache Spark vs Storm vs Samza for streaming data, Kafka as a universal message bus, what Netflix puts in front of HDFS, Parquet as a basis for ETL and analytics, DJ Patil, Internet of Things, and more.
- Interview: Nicholas Marko, Geisinger on the Skills Needed for Healthcare Analytics
- Feb 27, 2015.
We discuss challenges of dealing with healthcare data, trends in healthcare analytics, important skills for data scientists and more.
- The Internet of People: 4 key principles for analyzing personal data
- Feb 27, 2015.
The “Internet of People” raises a host of legal and ethical questions about the ownership and use of our personal data. We all have a stake in joining and navigating this increasingly stormy debate. Here are 4 key principles.
- Interview: Nicholas Marko, Geisinger on Building the Analytics Culture for Healthcare
- Feb 26, 2015.
We discuss how to establish credibility of data analytics, recommendations for a data-driven culture, analytics challenges in healthcare and more.
- RE.WORK Deep Learning Summit, San Francisco, January – videos, presentations
- Feb 26, 2015.
Interesting videos and presentations from January Deep Learning Summit include a Fireside Chat with Andrew Ng and Derrick Harris, presentations by Richard Socher (Founder, MetaMind), Quoc Le (Research Scientist, Google), Greg Corrado (Sr Research Scientist at Google), and more.
- Top KDnuggets tweets, Feb 23-25: Microsoft is building fast, low-power Deep Learning networks; Lucrative tech careers: Data Scientist, Data Engineer
- Feb 26, 2015.
5 lucrative tech careers in 2015: Data Scientist ($150K), Data Engineer ($148K); Which SQL on Hadoop? Gartner Poll Still Says "Whatever" But DBMS Providers Gain; 10 Most-Funded #BigData #Startups; DataRPM 8 runs in #Hadoop, uses #MachineLearning to find insights.
- Simplilearn Big Data, Analytics Online Certification Courses – 50% off for a limited time
- Feb 26, 2015.
Get 50% off Simplilearn Big Data & Analytics Online Certification Courses, including a new course - Big Data and Hadoop Administrator. Get a new iPhone5 with Classroom Enrollment - see details.
- IBM Big Data & Analytics Heroes
- Feb 26, 2015.
IBM's Big Data & Analytics Heroes include leaders in the field that propel the industry in order to promote thought leadership and progress in Big Data Analytics.
- Interview: Nicholas Marko, Geisinger on the Groundwork for Big Data Success
- Feb 25, 2015.
We discuss Big Data & Analytics at Geisinger Health System, CDO challenges, and impact of Big Data on decision making at executive level.
- Beagli: Finding value in your personal data
- Feb 25, 2015.
Personal analytics products can help users extract value from their data. This post describes our development of Beagli, a platform for mining and auctioning personal data.
- Top KDnuggets tweets, January: Good list of Machine Learning Resources, Deep Learning, Graphical Models; Sample solutions with R on Azure ML Marketplace
- Feb 24, 2015.
Good list of #MachineLearning Resources, #DeepLearning, Graphical Models; Sample #MachineLearning solutions with R on #Azure ML Marketplace #rstats; New book: Data Driven: Creating a Data Culture, by @dpatil, @hmason; Intro to #Python and #IPython for #DataMining.
- PAW San Francisco: Learn Uplift Modeling
- Feb 24, 2015.
The analytical method to optimize for influence is uplift modeling (aka persuasion modeling) and its adoption is rapidly growing. Learn it in two sessions and a full-day training workshop at PAW Business, San Francisco, Mar 29 - Apr 2, 2015. KDnuggets discount.
- Big Data TechCon, the HOW-TO conference, Boston, April 26-28
- Feb 24, 2015.
Plan now to attend Big Data TechCon, April 26-28 in Boston, to learn HOW-TO master and analyze Big Data. Learn Hadoop, Spark, Yarn, HBase, R, and Hive from the smartest, hardest-working faculty. Special discount.
- Top /r/MachineLearning Posts, Feb 15-21: The Elephant in the Room of ML Research
- Feb 24, 2015.
Problems with deep learning papers, Coursera linear algebra courses, Reddit comment visualizations, deep learning lectures, and genetic algorithm introductions make up the top posts this week on /r/MachineLearning.
- Upcoming Webcasts on Analytics, Big Data, Data Science – Feb 24 and beyond
- Feb 23, 2015.
Winning with Big Data Analytics, a Roadmap for Data-Driven Culture, Data Science for Workforce Optimization, Text Mining and Knowledge Graphs in the Cloud, Performance and Scale Options for R with Hadoop, and more.
- Top KDnuggets tweets, Feb 16-22: History of Data Science across 5 strands; Most Popular Coding Languages of 2015
- Feb 23, 2015.
History of #DataScience across 5 strands; Most Popular Coding Languages of 2015: #Python 31% ...; #BigData reveals how information travels: 8 clusters in Europe; New Face Detection Algorithm to revolutionize search: finding faces no longer unique to humans.
- Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost
- Feb 23, 2015.
SAS, IBM, KNIME, and RapidMiner lead in Gartner 2015 Magic Quadrant for Advanced Analytics Platforms. We analyze who gained and who lost versus last year.
- Interview: David Kasik, Boeing on Data Analysis vs Data Analytics
- Feb 23, 2015.
We discuss the impact of increasing amount of data on visualization, difference between Data Analysis and Data Analytics, motivation, trends, desired skills and more.
- Statistical Learning and Data Mining III: 10 Hot Ideas for Learning from Data, Mar 19-20, Palo Alto
- Feb 23, 2015.
Taught by top Stanford professors and leading statisticians Trevor Hastie and Robert Tibshirani, this course presents 10 hot ideas for learning from data, and gives a detailed overview of statistical models for data mining, inference and prediction.
- Top stories for Feb 15-21: 10 things statistics taught us about big data analysis; History of Data Science in 5 strands
- Feb 22, 2015.
My Brief Guide to Big Data and Predictive Analytics for non-experts; 10 things statistics taught us about big data analysis; History of Data Science Infographic in 5 strands; Automatic Statistician and the Profoundly Desired Automation for Data Science.
- Prismatic Interest Graph [API]: Organize and Recommend Content
- Feb 20, 2015.
Prismatic Interest Graph API provides a set of tools for automatically analyzing unstructured text and annotating it with a variety of tags that are useful for organizing and recommending content.
- Top KDnuggets tweets, Feb 18-19: New Face Detection Algorithm to revolutionize search; How to transition from Excel to R
- Feb 20, 2015.
Practical #DataScience in #Python #MachineLearning - nice intro; New Face Detection Algorithm to revolutionize search; Well written: How to Transition from Excel to R; Microsoft launches #Azure #MachineLearning Platform for #BigData, adds Python.
- Google BigQuery Public Datasets
- Feb 20, 2015.
Google BigQuery is not only a fantastic tool to analyze data, but it also has a repository of public data, including GDELT world events database, NYC Taxi rides, GitHub archive, Reddit top posts, and more.
- Fun and Top! US States in 2 Words using twitteR
- Feb 19, 2015.
Combining twitteR package with text mining techniques and visualization tools can produce interesting outputs. Find out which US state is fun and top, and which is good and crazy, according to Twitter.
- Simplilearn Big Data and Analytics Online Courses
- Feb 19, 2015.
Be Big Data Ready - get 30% Off Simplilearn Big Data and Analytics Online Courses with code FEB30A, valid till 28 Feb 2015.
- Top KDnuggets tweets, Feb 16-17: Most Popular Coding Languages of 2015; History of Data Science across 5 strands
- Feb 18, 2015.
Most Popular Coding Languages of 2015: #Python 31%, Java 20%, C++ 9.8%; History of #DataScience across 5 strands: CS, #Data, #Visualization, Math, Stats; IBM Verse new messaging software will use #Watson to declutter your inbox; Doctors store 1,600 digital #hearts for #BigData study.
- Watch Keynotes Live: Strata + Hadoop World San Jose, Feb 19-20
- Feb 18, 2015.
Watch live on Feb 19 & 20 ! The Strata + Hadoop World, Feb 17-20, San Jose conference is sold-out again, but if you are not there, here is how you can watch the keynotes live on Feb 19 and Feb 20, 2015.
- Big Data, Privacy, and Security – which side are you on?
- Feb 18, 2015.
After all the positive promise, the hype, and predictions about Big Data, 2015 started with a debate about privacy and specifically whether or not companies like Google and Facebook should be allowed to encrypt their users data.
- January 2015 Analytics, Big Data, Data Mining Acquisitions and Startups Activity
- Feb 17, 2015.
January acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Microsoft buys Revolution Analytics, Why dunnhumby is worth billions, GraphLab renames to Dato, raises $18M, MongoDB raised $80M, and more.
- History of Data Science Infographic in 5 strands
- Feb 17, 2015.
History of Data Science infographic presents key events in Data Science across 5 strands: Computer Science, Data Technology, Visualization, Mathematics/OR, and Statistics.
- Automatic Statistician and the Profoundly Desired Automation for Data Science
- Feb 17, 2015.
The Automatic Statistician project by Univ. of Cambridge and MIT is pushing ahead the frontiers of automation for the selection and evaluation of machine learning models. In general, what does automation mean to Data Science?
- Statistics.com courses on RESTful APIs
- Feb 17, 2015.
Applying analytics to big data requires a mechanism to rapidly get and share data and RESTful APIs is the standard way doing it. Learn how to write Python code to ingest data, communicate with, and create RESTful APIs with online courses from Statistics.com.
- Tamr Enterprise Platform for Scalable, End-to-End Data Unification
- Feb 17, 2015.
The new Tamr Platform radically simplifies and speeds the availability of unified data for analytics and downstream application, with key new features: catalog, connect, and consume. Tamr also announced solutions for Pharma and Procurement.
- Data Mining finds JASBUG, a Critical Security Vulnerability
- Feb 17, 2015.
We explain how the critical Microsoft security vulnerability JASBUG that existed for 15 years was detected with similarity search and regular expression inference.
- TEDx RheinMain Datanauts Competition
- Feb 17, 2015.
Send your project idea to TEDx RheinMain “Datanauts” Competition. It should fit to one of the following categories: mobility, environment, culture, common Good.
- Top /r/MachineLearning Posts, Feb 8-14: Automating Tinder, Statistics and Machine Learning
- Feb 17, 2015.
Automating Tinder with Eigenfaces, statistics lessons in big data analysis, an upcoming AMA, the basics of PCA, and neural network programming in Python are all topics covered in the last week on Reddit.
- Big Data Innovation Summit, San Jose, Apr 28-29, 2015
- Feb 17, 2015.
The Summit will bring 800+ data practitioners for 7 business and technical focused stages, 70+ sessions, keynotes, workshops, panels and countless networking opportunities. Early Bird until Feb 27.
- Upcoming Webcasts on Analytics, Big Data, Data Science – Feb 17 and beyond
- Feb 16, 2015.
Pivotal Update, Moving Targets, Secure Because Math, Data Driven: Creating a Data Culture, Maximize the effectiveness of your text analytics initiatives, Text Mining and Knowledge Graphs in the Cloud.
- Interview: David Kasik, Boeing on How Visual Analytics is Improving Aviation Safety
- Feb 16, 2015.
We discuss data visualization at Boeing, the importance of Visual Analytics, Aviation Safety improvement through Analytics and augmented reality.
- Top KDnuggets tweets, Feb 9-15: Why limit yourself to “50 Shades of Grey?” R has 102 shades; Why Electric Cars Dont Have Better Batteries
- Feb 16, 2015.
Why limit yourself to "50 Shades of Grey?" R has 102; Why Electric Cars Don't Have Better Batteries - a sad story of Envia; More evidence that #sports is a goldmine for #MachineLearning; Wedding with 200+ guests is 92% less likely to lead to divorce.
- Webinar: Drive effective text analytics initiatives, Feb 19
- Feb 16, 2015.
On February 19, join Meta Brown (author of Data Mining for Dummies), Howard Lyeth (Senior Analyst at L.L. Bean), Steven Scarr (CEO of eContext), and Ramkumar Ravichandran (Director of Analytics at Visa) to learn how to maximize the effectiveness of your text analytics.
- Active Data Mining, Data Science blogs
- Feb 16, 2015.
Here are 85 or so active (recently updated) data mining, data science, and machine learning blogs.
- Tinderbox: Automating Romance with Tinder and Eigenfaces
- Feb 15, 2015.
Tinderbox is a software uses machine learning and image recognition to automate Tinder, a popular app for single meetings. The author describes his experience and feedback until it started to work too well.
- Top stories for Feb 8-14: 10 things statistics taught us about Big Data; Data Science Most Confused Jargon
- Feb 15, 2015.
10 things statistics taught us about big data analysis; Data Science's Most Used, Confused, and Abused Jargon; Top 30 people in Big Data and Analytics; Cartoon: Data Scientist 3 wishes for Valentine Day.
- Top KDnuggets tweets, Feb 11-12: Automating romance with Eigenfaces; My Brief Guide to Big Data, Predictive Analytics for non-experts
- Feb 13, 2015.
Romantic #DataScientist @crockpotveggies automates #Tinder with Eigenfaces; My Brief Guide to Big Data and Predictive Analytics for non-experts; #DataMining finds corruption is correlated with low income, low development MIT; Hitachi buys Pentaho to extend Its #BigData footprint.
- NYC DSA Data Science Bootcamp,
June 1 – August 21 - Feb 13, 2015.NYC Data Science Academy offers the highest quality in data science training, designed specifically around the skills employers are seeking, including R, Python, Hadoop, github, D3.js, raspberry pi and much more. - Top /r/MachineLearning posts, January
- Feb 13, 2015.
Talking Machines, SVM lectures, a new Stanford statistical learning online course, and a listing of open-source datasets top the most popular Reddit posts on /r/MachineLearning for the month of January.
- Cartoon: Data Scientist gets 3 wishes for Valentine’s Day
- Feb 13, 2015.
New KDnuggets cartoon imagines what could happen if a Big Data genie would grant a romantic Data Scientist 3 wishes for a Valentine's Day.
- My Brief Guide to Big Data and Predictive Analytics for non-experts
- Feb 12, 2015.
My brief guide to Big Data and Predictive Analytics for non-experts suggests key books, films, and websites to learn more.
- Interview: M.C. Srivas, CTO, MapR on Data Agility – The Next Frontier of Big Data
- Feb 12, 2015.
We discuss the competitive differentiation of MapR, challenges in consumerizing Big Data, trends, strategy recommendations, desired skills and more.
- Statistics.com Online Data Science Courses and Certificates
- Feb 12, 2015.
Accelerate your career and upgrade your skills With Statistics.com training provided by top experts who will answer your questions on a daily basis. Work on practical exercises with real problems, real data and multiple software tools.
- Lipari Summer School: Algorithms, Data, and Models for Social and Urban Systems
- Feb 12, 2015.
Lipari Summer School will address the role of GIS, social media, big social data, agent-based models, network models, and their integration in the study, design, and implementation of social and urban systems.
- Ontotext: Integrated Text Mining and Triplestores, a form of graph database
- Feb 12, 2015.
Learn about 2 hot trends: RDF triplestores, a form of graph database, and the use of text mining to extract meaning from Big Data, and how Ontotext enables both. Free eval, Feb 26 webinar, and more.
- Top KDnuggets tweets, Feb 9-10: Teach #Python or R for #DataScience? #BigData suprising finding on Divorce
- Feb 11, 2015.
#BigData on Divorce: Wedding with 200+ guests is 92% less likely to end in divorce; Should you teach #Python or R #rstats for #DataScience?; Top 30 people in Big Data and Analytics; Paris history, captured in its streets, visualized with R.
- Interview: M.C. Srivas, MapR on Demystifying the Art of Processing Massive Data
- Feb 11, 2015.
We discuss the launch and evolution of MapR, achievements, key characteristics of MapR-DB, significance of Apache Drill, MapR use cases and more.
- Big Data Innovators Under 35
- Feb 11, 2015.
Young innovators in deep learning, interface design, and data science automation are all included in MIT Technology Review's Innovators Under 35 list.
- Top Analytics and Big Data Trends ahead of Strata Hadoop World San Jose
- Feb 11, 2015.
Top 2015 Analytics and Big Data trends from our readers were Apache Spark, Deep Learning, Real-Time technology, Internet of Things (IoT).
- KDnuggets Annual Poll: Analytics/Data Science/Data Mining income/salary, role, and employment
- Feb 11, 2015.
Please vote in KDnuggets annual poll on analytics / data science / data mining field income/salary vs analytic role and employment. We will analyze and publish the results.
- Expert Training within Reach
- Feb 10, 2015.
SAS has partnered with some of the world’s most respected analytical thought leaders to offer you the best in analytics training.
- PAW: How Predictive Analytics Reinvents These Six Industries
- Feb 10, 2015.
Predictive analytics is a game-changer - it's like "Moneyball" for... money. This article summarizes and links resources with late-breaking coverage of how predictive analytics reinvents six industries.
- Info Kit: Statistics, Predictive Modeling, Data Mining with JMP
- Feb 10, 2015.
Find out how to challenge assumptions, spot patterns and reveal potential solutions to problems that otherwise would not be visible. Register for this complimentary info kit.
- TMA Predictive Analytics Data Mining Training [Orlando, Mar | Las Vegas, Apr]
- Feb 10, 2015.
Successful analytics in the big data era does not start with data and software, but with hands-on, immersive training and goal-driven strategy - get it from The Modeling Agency in Orlando (Mar), Las Vegas (Apr), or Washington DC (May).
- Interview: Phani Nagarjuna, Nuevora on Right Data and Business Analytics Roadmap
- Feb 10, 2015.
We discuss the journey of Business Analytics, definition of Right Data, competitive differentiation of Nuevora, challenges in the large-scale consumerization of analytics, and more.
- Data Science’s Most Used, Confused, and Abused Jargon
- Feb 10, 2015.
As data science has spread through the mainstream, so too has a dense vocabulary of ill-defined jargon. In a split-personality post, we offer several perspectives on many of data science's most confused terms.
- Analyzing Analysts to Build Better Analysis Software
- Feb 10, 2015.
Our study how analysts used Mode led to major updates designed to fit how data analysts and business analysts actually use data - there's no one-size-fits-all tool and analysis doesn't end with the analyst.
- 10 things statistics taught us about big data analysis
- Feb 10, 2015.
There are 10 ideas in applied statistics are relevant for big data analysis, focusing on prediction accuracy, interactive analysis and more.
- Stanford Online Courses: Use data to solve biological, medical problems
- Feb 10, 2015.
Stay at the cutting-edge and take courses online from Stanford that will teach you techniques used in new applications in biomedicine. Enrollment for spring open till Mar 20.
- Interview: Phani Nagarjuna, Nuevora on CMO Expectations from Analytics
- Feb 9, 2015.
We discuss the value proposition of Nuevora, founding story, CMO expectations from Analytics and the Nuevora nBAAP platform.
- Top KDnuggets tweets, Feb 02-08: 10 things statistics teaches about Big Data analysis; Where is Waldo ruined by Machine Learning
- Feb 9, 2015.
Very useful: 10 things statistics teaches about #BigData analysis; Where's Waldo ruined by a PhD student and #MachineLearning; Great Tutorial: Getting Started with Apache Spark and Python; Clarifai Machine Learning software can understand what is in your videos.
- Upcoming Webcasts on Analytics, Big Data, Data Science – Feb 10 and beyond
- Feb 9, 2015.
Data Mining: Failure to Launch, 3 Ways to Improve your Regression, The Pragmatic Text Miner, Make It Big As a Data Scientist in 2015, Managing Big Data in Production and more.
- Top /r/MachineLearning posts, Feb 1-7: Music recognition, Text Understanding from scratch
- Feb 9, 2015.
Shazam music recognition techniques, deep learning for text understanding, neuroscience history, Neural Turing Machines using Torch, and genetic algorithms are the top topics on Reddit last week.
- Top 30 people in Big Data and Analytics
- Feb 9, 2015.
Innovation Enterprise has compiled a top 30 list for individuals in big data that have had a large impact on the development or popularity of the industry.
- Facebook Open Sources deep-learning modules for Torch
- Feb 9, 2015.
We review Facebook recently released Torch module for Deep Learning, which helps researchers train large scale convolutional neural networks for image recognition, natural language processing and other AI applications.
- Top stories for Feb 1-7: Avoiding a Common Mistake with Time Series; Top Big Data Influencers and Brands
- Feb 8, 2015.
Avoiding a Common Mistake with Time Series; (Deep Learning Deep Flaws) Deep Flaws; Top Big Data Influencers and Brands; Two Most Important Trends in Analytics and Big Data.
- Women in Data: Top Practitioners on Critical Skills, Background, and Education
- Feb 7, 2015.
Cornelia Levy-Bencheton interviewed 15 women in data to learn how they achieved their current level of success, what motivated them to get there, and their views about opportunities for women.
- Get practical training at PASS Business Analytics Conference, Santa Clara, April 20-22
- Feb 7, 2015.
Get practical training on Predictive Analytics, R, Data Visualization, Big Data, Excel, Power BI, and more at the PASS Business Analytics Conference, Santa Clara, April 20-22. Get $150 off with KDnuggets discount.
- Top stories in January: (Deep Learning Deep Flaws) Deep Flaws; Research Leaders on key trends, papers
- Feb 6, 2015.
Research Leaders on Data Science and Big Data key trends, papers; (Deep Learning Deep Flaws) Deep Flaws; Analytics: Five Rules to Cut Through the Hype; 11 Clever Methods of Overfitting and how to avoid them.
- Top KDnuggets tweets, Feb 4-5: Clarifai Machine Learning software can understand what is in your videos
- Feb 6, 2015.
Clarifai #MachineLearning software can understand what is in your videos; #BigData Lessons From @Netflix: comparing House of Cards and Macbeth insights; 2014 was the biggest year for #AI startups; Top Data Scientist @DPatil joined the #WhiteHouse as a data scientist-in-residence.
- Interview: Jason Bloomberg, Intellyx on the Tricky Balance of Optimization and Innovation
- Feb 6, 2015.
We discuss Agile Digital Transformation, Optimization vs Innovation trade-off, best innovations of 2014, trends, advice and more.
- Top /r/MachineLearning posts, Jan 25-31
- Feb 6, 2015.
Downsides to jobs in machine learning fields, AI learning materials, novel topic modelling techniques and weekly simple question threads are all topics of discussion this week on Reddit /r/MachineLearning.
- Two Most Important Trends in Analytics and Big Data in 2015
- Feb 6, 2015.
In 2015, two most important trends in Analytics and Big Data are in developing countries and big data security.
- How Many Quants are Changing Jobs?
- Feb 6, 2015.
Being a quantitative recruiter, I have had a unique perspective on the current climate and how often are Quants changing jobs? What does this mean if you’re a Quant? What does this mean if you’re trying to hire a Quant?
- How Big Data Pieces, Technology, and Animals fit together
- Feb 5, 2015.
How Big Data Pieces and animals fit together: MapReduce, HDFS, Apache Spark,, Pregel, Zookeeper, Flume, Hive, Pig, and more, explained by a Quora (and past Facebook) Data Scientist.
- The Post-Hadoop World: New Kid On The Block Technologies
- Feb 5, 2015.
Big Data technology has evolved rapidly, and although Hadoop and Hive are still its core components, a new breed of technologies has emerged and is changing how we work with data, enabling more fluid ways to process, store, and manage it.
- Analytics Outsourcing to India: Should or Shouldn’t?
- Feb 5, 2015.
Outsourcing analytics talent to India will continue to grow as a trend as evidenced by the increasing number of Fortune 500 companies participating in the practice.
- Top KDnuggets tweets, Feb 2-3: Avoiding a Common Mistake with Time Series; A New Year in Data Science, great overview
- Feb 4, 2015.
Avoiding a Common Mistake with Time Series: use de-trending; A New Year in #DataScience, great overview of the #MachineLearning and #BigData; Data scientist memes - the 'hottest profession'; Top Big Data Influencers and Brands.
- Interview: Rachel Hawley, SAS on Why Data Science Needs Communication Skills
- Feb 4, 2015.
We discuss SAS Analytics Center of Excellence, trends, advice, desired skills in data science and more.
- Webinar: Data Mining: Failure to Launch [Feb 10]
- Feb 3, 2015.
Learn how to get started with predictive modeling and overcome strategic and tactical limitations that cause data mining projects to fall short of their potential. Next webinar is Feb 10.
- Interview: Rachel Hawley, SAS on the Quest for Agile Analytics
- Feb 3, 2015.
We discuss Agile Analytics, moving from traditional Analytics to Agile, challenges in operationalizing Analytics, SAS Enterprise Decision Management and SAS In-Memory Statistics.
- Gartner Business Intelligence & Analytics Summit, Las Vegas, Mar 30 – Apr 1
- Feb 3, 2015.
Learn how to remaster your skills to deliver the analytic advantage your organization needs in the digital age in order to succeed, get new best practices and leading-edge strategies. KDnuggets discount.
- PASS Business Analytics Conference, Santa Clara, Apr 20-22
- Feb 3, 2015.
Set yourself apart with world-class analytics training in 60+ sessions at the PASS Business Analytics Conference. Special KDnuggets discount.
- Upcoming Feb – July 2015 Meetings in Analytics, Big Data, Mining, Data Science
- Feb 2, 2015.
Coming soon: Strata + Hadoop World (San Jose), TDWI (Las Vegas), MLDAS (Qatar), TDWI Solution Summit (Savannah), GigaOM Structure (NYC), Chief Data Strategy (Boston), Gartner BI&Analytics (LV), PAW/TAW (SF), PASS (Santa Clara) and more.
- Upcoming Webcasts on Analytics, Big Data, Data Science – Feb 3 and beyond
- Feb 2, 2015.
SAP HANA Launch event, Analytics/Data Science Hiring Market, Platfora, Data Mining: Failure To Launch, 3 Ways to Improve your Regression, BigML 2015 Winter Release, and more.
- Interview: Eli Collins, Cloudera on Evolution and Future of Big Data Ecosystem
- Feb 2, 2015.
We discuss the change in Big Data priorities, risks, Big Data ecosystem, rise of data culture in organizations, challenges, advice and more.
- Top KDnuggets tweets, Jan 26 – Feb 1: Good list of Machine Learning Resources; Sample Machine Learning solutions with R
- Feb 2, 2015.
Good list of #MachineLearning Resources, #DeepLearning, Graphical Models; Sample #MachineLearning solutions with R on #Azure ML Marketplace #rstats; Decision Tree Algorithms: comparing Gini Index, Chi-Square, Information Gain; Cartoon: Lets solve 2+4=? first, worry about #DataMining Later.
- BigML machine learning platform Winter 2015 Release, Feb 11
- Feb 2, 2015.
See the latest in BigML's continuously evolved machine learning platform with its emphasis on consumability, programmability, and scalability. Feb 11 webinar at 9 am PT and 5 pm PT.
- Top Big Data Influencers and Brands
- Feb 2, 2015.
Top Big Data influencers and brands on Twitter, selected by Onalytica based on the Pagerank analysis of Twitter graph.
- Avoiding a Common Mistake with Time Series
- Feb 2, 2015.
We explore a common mistake in analyzing relationships between time series, and show how de-trending helps to avoid this error.
- Comics Recommendations: “Tinder for Comics” built with Tapastic and PredictionIO
- Feb 2, 2015.
Here is how we built a cool demo of recommending comics, using PredictionIO new Similar Product Template and dataset provided by Tapastic.com.
- Top stories for Jan 25-31: (Deep Learning Deep Flaws) Deep Flaws; Text Analysis 101: Document Classification
- Feb 1, 2015.
(Deep Learning Deep Flaws) Deep Flaws; Text Analysis 101: Document Classification; Interview: Anthony Bak, Ayasdi on Managing Data Complexity through Topology.
- Additions to KDnuggets Directory in January
- Feb 1, 2015.
53 new meetings, Silicon Valley Data Science, BayeSniffer, Data Science education in Paris and Nice, bootcamps in NYC, fraud detection solutions and more.
