Machine Learning (1979)

• PredictionIO: Machine Learning Engineer (Evangelist) - Feb 26, 2015.
  
  Are you passionate about machine learning and open source? Do you have the ability to engage other developers and data scientists? If yes, read on ...

  API, CA, Machine Learning, Open Source, PredictionIO, San Francisco, Scala, USA

• 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.

  Azure ML, Deep Learning, DJ Patil, Hilary Mason, IPython, Machine Learning, Marketplace, Python, R

• Booking: Data Scientist – Machine Learning - Feb 23, 2015.
  
  Work side by side with Developers, Designers and Product Owners to translate terabytes of data into unforgettable holidays for millions of people around the globe. Generous worldwide relocation package.

  Amsterdam, Booking.com, Data Scientist, Machine Learning, Netherlands

• 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.

  Machine Learning, Prismatic, Recommendations, Text Analytics, Text Mining

• 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?

  Automation, Cambridge, Data Cleaning, Data Science, Machine Learning, MIT, Modeling, Statistician

• 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.

  Apache Spark, Big Data, Clarifai, Machine Learning, Python, Statistics, Waldo

• PredictionIO: Machine Learning Evangelist - Feb 4, 2015.
  
  Are you passionate about machine learning and open source? Do you have the ability to engage other developers and data scientists? If yes, read on ...

  API, CA, Machine Learning, Open Source, PredictionIO, San Francisco, Scala, USA

• 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.

  Big Data Influencers, Machine Learning, Paco Nathan, Time Series, xkcd

• 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.

  Azure ML, Cartoon, Decision Trees, Machine Learning, Marketplace, R, xkcd

• 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.

  BigML, Clustering, Data Science Platform, Google, Machine Learning

• ExxonMobil Research and Engineering: Data Analytics / Machine Learning - Jan 30, 2015.
  
  Conduct fundamental research in machine learning, statistics, signal processing and optimization and apply them to large-scale problems in physics, chemical and engineering data sets and models.

  Annandale, Data Analytics, ExxonMobil, Machine Learning, NJ, Oil & Gas, USA

• (Deep Learning’s Deep Flaws)’s Deep Flaws - Jan 26, 2015.
  
  Recent press has challenged the hype surrounding deep learning, trumpeting several findings which expose shortcomings of current algorithms. However, many of deep learning's reported flaws are universal, affecting nearly all machine learning algorithms.

  convnet, Deep Learning, Ian Goodfellow, Machine Learning, Neural Networks, Yoshua Bengio, Zachary Lipton

• Top /r/MachineLearning posts, Jan 18-24: K-means clustering is not a free lunch; A Deep Dive into Recurrent Neural Nets - Jan 26, 2015.
  
  Textbook Easter Eggs, issues with k-means, recurrent neural networks, genetic algorithm challenges, and the implementation of machine learning pipelines are all in this week's top /r/MachineLearning posts.

  Clustering, Humor, Machine Learning, Recurrent Neural Networks, Reddit

• MLDAS 2015: Machine Learning and Data Analytics Symposium – Qatar, Mar 9-10 - Jan 26, 2015.
  
  MLDAS is a forum for machine learning and data analytics researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. Travel support for paper authors available.

  Data Analytics, Doha, Machine Learning, Mohammed Zaki, Qatar, QCRI

• Interview: Arno Candel, H2O.ai on the Journey from Physics to Machine Learning - Jan 22, 2015.
  
  We discuss Arno’s career path, transition from Physics to Machine Learning, talent gap in Big Data, advice and more.

  Arno Candel, Career, H2O, Hacking, Machine Learning, Physics, Skills

• The High Cost of Maintaining Machine Learning Systems - Jan 21, 2015.
  
  Google researchers warn of the massive ongoing costs for maintaining machine learning systems. We examine how to minimize the technical debt.

  Google, Machine Learning, Software Engineering, Technical Debt, Zachary Lipton

• Interview: Arno Candel, H2O.ai on the Basics of Deep Learning to Get You Started - Jan 20, 2015.
  
  We discuss how Deep Learning is different from the other methods of Machine Learning, unique characteristics and benefits of Deep Learning, and the key components of H2O architecture.

  Apache Spark, Arno Candel, Deep Learning, H2O, Machine Learning

• Top /r/MachineLearning posts, Jan 11-17 - Jan 18, 2015.
  
  SVMs, open source datasets, Bayesian decision theory, game AI, and deep learning visualizations are all featured in the past week's top /r/MachineLearning posts.

  AI, Bayesian, Datasets, Deep Learning, Games, Grant Marshall, Machine Learning, Open Source, Reddit, SVM, Visualization

• ChaLearn Automatic Machine Learning Challenge (AutoML) - Jan 15, 2015.
  
  Design the perfect machine learning “black box” capable of performing all model selection and hyper-parameter tuning without any human intervention. There is a prize pool of $30,000 donated by Microsoft if you are willing to make your code publicly available.

  Challenge, Machine Learning, Microsoft

• Debunking Big Data Myths. Again - Jan 11, 2015.
  
  Myths change with understanding. Misunderstandings on some of the current myths surrounding big data as follows will fade away: big data is made for big business, big data adoption is high and machine learning overcomes human bias.

  Big Data, Big Data Hype, Machine Learning, Rick Delgado

• Year in Review: Top KDnuggets tweets in October - Dec 29, 2014.
  
  Data mining classics: Classifying Shakespearean Drama; Air traffic data is being analyzed to predict Ebola Spread; A Great Collection of #MachineLearning Algorithms; Best Programming Language for Machine Learning.

  Air traffic, Algorithms, Ebola, Machine Learning, Programming Languages, Shakespeare

• Cartoon: Unexpected Data Science Recommendations - Dec 16, 2014.
  
  New KDnuggets cartoon examines an unexpected shopping recommendation from Big Data and machine learning algorithms.

  Cartoon, Machine Learning, Python, Recommendations

• Top KDnuggets tweets, Dec 7-14: Google new CAPTCHA trains #AI; Random Forests, SVM give best results - Dec 15, 2014.
  
  Which one is the bunny? Google new CAPTCHA bot-trap trains #AI; O'Reilly Data Scientist Salary and Tools Survey 2014; Microsoft brings the power of #MachineLearning to Office Online; 10 Data Science Newsletters to Subscribe to.

  CAPTCHA, Data Science Skills, Google, Machine Learning, Microsoft, random forests algorithm, Salary, SVM

• Aalto: Assistant Professor (Tenure-Track) in Machine Learning - Dec 10, 2014.
  
  Join a leading dept. whose focus includes machine learning, computational inference, data mining, big data analysis, and smart applications in the society and sciences.

  Aalto, Faculty, Helsinki-Finland, Machine Learning

• Top stories in November: 9 Must-Have Skills for a Data Scientist; IBM Watson Analytics replacing a data scientist? - Dec 4, 2014.
  
  9 Must-Have Skills You Need to Become a Data Scientist; IBM Watson Analytics - Will it Replace Data Scientists ? Update: Top LinkedIn Groups for Big Data, Data Mining, Data Science; R and Hadoop make Machine Learning Possible for Everyone.

  Data Science Skills, IBM Watson, LinkedIn Groups, Machine Learning, Top stories

• Practical Machine Learning for Engineers, New York, Jan 19-21 - Dec 2, 2014.
  
  Learn the fundamental concepts of machine learning by working on a dataset of moderate size, using open source software tools. Special KDnuggets discount.

  Machine Learning, New York-NY, Python

• LION Intelligent Learning and Optimization News - Nov 26, 2014.
  
  LION intelligent learning and optimization adds full support for Java packages, new visualization neatly explains overfitting, and get "The LION way" book on Kindle (free if you qualify).

  Java, LIONbook, LIONoso, LIONsolver, Machine Learning, Optimization, Overfitting, Roberto Battiti, Yaser Abu-Mostafa

• Surfing the Big Data Wave at H2O World - Nov 25, 2014.
  
  Recent H2O World event showcased its open-source, scalable machine learning in the cloud, intended for people familiar with R but limited by its scalability. H2O can run on Hadoop and also on Apache Spark.

  Arun Swami, Deep Learning, H2O, Machine Learning, Mountain View-CA, R

• Top stories for Nov 16-22: R, Hadoop make machine learning possible for all; Azure ML is the next big thing - Nov 23, 2014.
  
  R and Hadoop make Machine Learning Possible for Everyone; Why Azure ML is the Next Big Thing for Machine Learning; IBM Watson Analytics - Will it Replace Data Scientists? 9 Must-Have Skills You Need to Become a Data Scientist.

  Hadoop, Machine Learning, Microsoft Azure, R, Top stories

• CMU: Teaching Faculty, Machine Learning - Nov 20, 2014.
  
  Lead our efforts in teaching machine learning, both on-campus and online. As the world only academic Machine Learning Dept, we help define the standard curriculum for the field.

  CMU, Faculty, Machine Learning, Online Education

• EURECOM: Faculty Position in Data Mining and Machine Learning - Nov 20, 2014.
  
  EURECOM, graduate school and a research center in communication systems, seeks qualified applicants interested in Big Data and Cloud computing for a tenured assistant professor position.

  Cloud Computing, Data Mining, Faculty, France, Machine Learning

• Interview: Joseph Sirosh, Microsoft on Azure ML and the Emerging Data Science Economy - Nov 19, 2014.
  
  We discuss what distinguishes Azure ML from its intense competition, the online machine learning university, current maturity level of Big Data solutions, important skills for data scientists and more.

  Azure ML, Hiring, Joseph Sirosh, Machine Learning, Marketplace, Microsoft, Predictive Analytics

• Interview: Joseph Sirosh, Microsoft on How Azure ML is Simplifying Predictive Analytics - Nov 18, 2014.
  
  Microsoft Corporate VP of Machine Learning, Joseph Sirosh talks about the recently released Azure ML, users’ feedback, favorite business use cases, how Azure ML fits in the Microsoft’s portfolio for Big Data solutions and more.

  Azure ML, Dell, Joseph Sirosh, Machine Learning, Marketplace, Microsoft, Predictive Analytics

• Why Azure ML is the Next Big Thing for Machine Learning? - Nov 17, 2014.
  
  With advanced capabilities, free access, strong support for R, cloud hosting benefits, drag-and-drop development and many more features, Azure ML is ready to take the consumerization of ML to the next level.

  Azure ML, Cloud Computing, Hadoop, Machine Learning, Marketplace, Microsoft Azure, Nate Silver, Predictive Analytics, Strata

• R and Hadoop make Machine Learning Possible for Everyone - Nov 16, 2014.
  
  R and Hadoop make machine learning approachable enough for inexperienced users to begin analyzing and visualizing interesting data to start down the path in this lucrative field.

  Data Science Skills, Hadoop, Hadoop 2.0, Joel Horwitz, LinkedIn, Machine Learning, R

• Machine Learning Summer School 2015, Sydney, Australia - Nov 12, 2014.
  
  MLSS will provide graduate students, academics and industry professionals with an intense learning experience on the theory and applications of modern machine learning.

  Machine Learning, Summer School, Sydney-Australia

• MLconf: Today’s Adventures in Applied Machine Learning, San Francisco, Nov 14 - Nov 10, 2014.
  
  Attend MLconf to listen to speakers from top companies, network with 300+ data scientists, business executives, engineers and students. Special KDnuggets discount.

  Machine Learning, MLconf, San Francisco-CA

• Top KDnuggets tweets, Nov 5-6: Free access to Microsoft Azure Machine Learning; 2 ways Big Data can make us happier - Nov 7, 2014.
  
  Good news for Data Scientists! Free access to Microsoft Azure Machine Learning; 100 Years of Computer Science and 10 academic papers that changed computing; Internet Saturated Nations; For every job-seeker in #BigData sector there are 3.6 jobs.

  Big Data, Deep Learning, Machine Learning, Microsoft Azure, NoSQL, R

• Course: Practical Machine Learning for Engineers, New York, Nov 10-12 - Nov 4, 2014.
  
  Learn the fundamental concepts of machine learning by working on a dataset of moderate size, using open source software tools. Special KDnuggets discount.

  Machine Learning, New York-NY

• LIONoso, a non-profit tool for Machine Learning and Intelligent Optimization - Nov 3, 2014.
  
  LIONoso 2.1, developed by LIONlab for non-profit research and academic use, offers flexible training and experimentation for researchers who know what they are doing and want freedom in their ML experimentation.

  LIONbook, LIONoso, LIONsolver, Machine Learning, Optimization, Roberto Battiti, Yaser Abu-Mostafa

• BigData TechCon San Francisco Report: Focus on Spark - Nov 1, 2014.
  
  BigData TechCon SF 2014 covered a number of data technologies from the open source ecosystem through tutorials and classes. Spark and its libraries were a significant focus of the talks.

  Apache Spark, Arun Swami, Big Data, Hadoop, Machine Learning, San Francisco-CA, Scala, Techcon

• Top KDnuggets tweets, Oct 29-30: If you can’t code, you can’t be a data scientist; 13 Machine Learning Books - Oct 31, 2014.
  
  The #strataconf debate: If You Can't Code, You Can't Be a Data Scientist; 13 Machine Learning Books recommended by Berkeley machine learning expert; Data Blending for Dummies - free ebook from Alteryx; Data Science 2.0, upcoming book from Vincent Granville.

  Alteryx, Data Scientist, Deep Learning, Machine Learning, Michael Jordan, Vincent Granville

• Will Deep Learning take over Machine Learning, make other algorithms obsolete? - Oct 27, 2014.
  
  Will deep learning will take over machine learning and make other algorithms obsolete, or is it too complex to use on simpler problems? We look at both sides of this discussion.

  Deep Learning, Machine Learning, Quora

• H2O World, Open Source Machine Learning Meeting, Nov 18-19, Mountain View - Oct 27, 2014.
  
  H2O World (Nov 18-19, Mountain View) is where the users of the very popular Open Source Machine Learning Engine H2O gather to share their knowledge and know-how to build Smart Applications.

  Deep Learning, H2O, Machine Learning, Mountain View-CA, Open Source, Python, R, Scala

• Adobe: Sr. Machine Learning Engineer (C++ / Big Data) - Oct 17, 2014.
  
  Be part of the development team that produces a complex, high-performance analytics product called Adobe Data Workbench. Have superior problem-solving skills an a knack for developing large-scale, high-performance, complex systems.

  Adobe, Machine Learning, McLean-VA, Software Engineer

• U Geneva: PhD position on Learning over distributed streaming data - Oct 17, 2014.
  
  Develop innovative machine learning methods for streaming data in the context of the Internet of Things in this PhD position. Position is funded for three years. Applications submitted by November 30th will be given priority.

  Geneva-Switzerland, Internet of Things, Machine Learning, PhD position

• Deep Learning RNNaissance, an insightful, comprehensive, and entertaining overview - Oct 9, 2014.
  
  Watch this great overview of history and present state of Deep Learning, which is revolutionizing Machine learning, vision, robotics, and many other areas.

  Deep Learning, Jurgen Schmidhuber, Machine Learning, Neural Networks, Recurrent Neural Networks

• SPOTLIGHT: Can Data Science Save Humanity from Mosquitoes and other Deadly Insects? #2 - Oct 9, 2014.
  
  KDnuggets launches Spotlight initiative to bring attention to academic research. The journey begins with Prof. Eamonn Keogh, UCR and his talented student, Yanping Chen, who are applying data mining to save us all from insect-vectored diseases.

  Acoustics, Andrew Ng, Data Mining, Interview, Machine Learning, Research, Time Series, UC Riverside, Yanping Chen

• Top stories in September: Data Science is mainly a Human Science; Hiring Data Scientists: What to look for? - Oct 7, 2014.
  
  Data Science is mainly a Human Science; Hiring Data Scientists: What to look for?; Most Viewed Machine Learning Talks at Videolectures; Neural Networks and Deep Learning, free online book (draft).

  Coursera, Data Science, edX, Hiring, Machine Learning, Neural Networks, Top stories, Videolectures

• MSU: Computer Science and Engineering Faculty Positions - Oct 6, 2014.
  
  CSE Dept at Michigan State University (MSU) invites applications for two tenure-system faculty positions in the area of machine learning and other related disciplines.

  East Lansing-MI, Faculty, Machine Learning, Michigan State University, MSU

• Top KDnuggets tweets, Oct 3-5: Best Programming Languages for Machine Learning; Analyzing Ebola - Oct 6, 2014.
  
  Best Programming Language for Machine Learning: R, Python, MATLAB - when yo use what; Analyzing Ebola - Is it spreading at exponential rate?; 31,000 people/hour are joining the new private social network Ello; Booking: Data Scientist.

  Ebola, Ello, Machine Learning, MATLAB, Octave, Python, R

• Top KDnuggets tweets, Sep 29-30: Machine learning #cheatsheet; Can you find McDonald faster than a computer? - Oct 1, 2014.
  
  Machine learning #cheatsheet on github; Great list of resources on Cloud Computing, #BigData; Excellent (but scary) demo: Can you find the nearest McDonald faster than a computer? Top 10 presentations about data science / #BigData on SlideShare.

  Cheat Sheet, Julia, Juno, Machine Learning, McDonalds, NoSQL, SlideShare

• Top KDnuggets tweets, Sep 24-25: Statistical & Machine learning with R, great 15 hour online course - Sep 26, 2014.
  
  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.

  Blogs, Frequent Pattern Mining, Machine Learning, Microsoft, R, Statistical Learning

• Top KDnuggets tweets, Sep 22-23: Machine Learning for (Smart) Dummies: 7 week course - Sep 24, 2014.
  
  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.

  Crime, Google, Machine Learning, Python, R, SAS

• Helsinki: Postdoc Positions in Algorithms, Machine Learning, Big Data - Sep 20, 2014.
  
  Aalto U. and U. of Helsinki are looking for several researchers in Algorithms, Bioinformatics, Big Data Processing, Machine Learning, and related areas. Apply by Oct 12, 2014.

  Aalto, Helsinki-Finland, HIIT, Machine Learning, Postdoc

• edX “Learning From Data” Caltech course - Sep 18, 2014.
  
  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.

  Caltech, edX, Learning from Data, Machine Learning, MOOC, Yaser Abu-Mostafa

• KDnuggets 14:n24, Hiring Data Scientists; Most Viewed Machine Learning, Data Mining Talks - Sep 18, 2014.
  
  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.

  Data Scientist, Hadoop, Machine Learning, MOOC, Process Mining, Uplift Modeling, Videolectures

• Top KDnuggets tweets, Sep 10-14: Most Viewed Machine Learning and Text Mining Talks - Sep 16, 2014.
  
  Most Viewed Machine Learning Talks and Text Mining Lectures at Videolectures; 3 Marks of Real #DataScience; MOOC: Process Mining: Data science in Action.

  Machine Learning, MOOC, Process Mining, Text Mining, Videolectures

• Rocket Fuel: Principal Research Scientist – Machine Learning - Sep 15, 2014.
  
  Develop predictive models and optimization algorithms for ad targeting and bidding on active ad exchanges to optimize advertising results. Grow and lead a team of world class machine learning engineers / scientists.

  Machine Learning, Redwood City-CA, Research Scientist, Rocket Fuel

• Top stories for Sep 7-13: Hiring Data Scientists; MOOC – Process Mining - Sep 14, 2014.
  
  Hiring Data Scientists: What to look for?; MOOC: Process Mining: Data science in Action; Most Viewed Machine Learning Talks at Videolectures.

  Data Scientist, Machine Learning, MOOC, Process Mining, Top stories, Videolectures

• Customer Analytics Summit 2014 Chicago: Day 2 Highlights - Sep 12, 2014.
  
  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.

  Analytics, Chicago-IL, Conference, Data Mining, IE Group, Machine Learning, Microsoft, Obama for America, Sears Holdings

• Most Viewed Machine Learning Talks at Videolectures - Sep 11, 2014.
  
  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.

  Machine Learning, Summer School, Tutorials, Videolectures

• HICT: 20 funded doctoral student positions - Sep 10, 2014.
  
  HICT, a joint initiative by Aalto U. and U. of Helsinki has 20 fully funded positions for exceptional doctoral students in algorithms and machine learning, life science informatics, networked systems and other areas.

  Aalto, Helsinki-Finland, HICT, Machine Learning, PhD position

• Upcoming Webcasts on Analytics, Big Data, Data Science – Sep 9 and beyond - Sep 9, 2014.
  
  Modern Regression Analysis, Tamr and Forrester Research, Hadoop for Machine Learning, NASA Earth Science Data, Strata + Hadoop NYC preview, and more.

  Hadoop, Machine Learning, NASA, Regression, Tamr

• Top stories for Aug 31 – Sep 6 - Sep 8, 2014.
  
  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.

  Ajay Bhargava, Cartoon, Google, Machine Learning, Sibyl, Top stories

• Top KDnuggets tweets, Aug 29-31: Data Analytics vs Predictive Modeling vs …; 100 top machine learning talks - Sep 1, 2014.
  
  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.

  Data Analytics, Deep Learning, Enlitic, Hadoop, Jeremy Howard, Machine Learning, YARN

• Top KDnuggets tweets, Aug 20-21: Deep Learning book and more; Sibyl: Google Large Scale Machine Learning - Aug 22, 2014.
  
  Deep Learning book draft - read and help improve it; Deep Learning - important resources for learning and understanding; Sibyl: Google's system for Large Scale Machine Learning; Excellent Intro to Deep Learning.

  Deep Learning, Google, Hilary Mason, Machine Learning, Sibyl

• Deep Learning – important resources for learning and understanding - Aug 21, 2014.
  
  New and fundamental resources for learning about Deep Learning - the hottest machine learning method, which is approaching human performance level.

  Deep Learning, Image Recognition, Machine Learning, Yann LeCun, Yoshua Bengio

• Sibyl: Google’s system for Large Scale Machine Learning - Aug 20, 2014.
  
  A review of 2014 keynote talk about Sibyl, Google system for large scale machine learning. Parallel Boosting algorithm and several design principles are introduced.

  Algorithms, Boosting, Google, Machine Learning, Sibyl

• Interview: Pedro Domingos: the Master Algorithm, new type of Deep Learning, great advice for young researchers - Aug 19, 2014.
  
  Top researcher Pedro Domingos on useful maxims for Data Mining, Machine Learning as the Master Algorithm, new type of Deep Learning called sum-product networks, Big Data and startups, and great advice to young researchers.

  Advice, Deep Learning, KDD-2014, Machine Learning, Pedro Domingos, Startups

• Interview: Pedro Domingos, Winner of KDD 2014 Data Mining/Data Science Innovation Award - Aug 15, 2014.
  
  We discuss the differences between Machine Learning, Data Mining, and Statistics; the importance of cost-sensitive classification; social network mining and identifying influencers; mining data streams, and more.

  Cost Sensitive, Machine Learning, Pedro Domingos, SIGKDD, Social Network Analysis, Stream Mining

• Interview: Pallas Horwitz, Blue Shell Games on Why Gaming Analytics is Not a Piece of Cake - Aug 15, 2014.
  
  We discuss the challenges of gaming analytics, most desired missing data, current trends, career advice, important soft skills in data science and more.

  Advice, Blue Shell Games, Challenges, Machine Learning, Missing Values, Pallas Horwitz, Predictive Analytics, Video Games

• Top KDnuggets tweets, Aug 13-14: Boyfriend as a statistically “significant” other - Aug 15, 2014.
  
  xkcd: Boyfriend as a statistically "significant" other; Interesting Social Media Datasets; Sibyl: a System for Large Scale Machine Learning at Google; We don't need such hype: "Big Data scientists get 100 recruiter emails a day".

  Cartoon, Data Scientist, Datasets, Google, Machine Learning, Sibyl, Social Media, xkcd

• IBM Watson’s Next Step: Partnership with Universities - Aug 15, 2014.
  
  Students from ten top tech universities now have access to Watson. For students at New York University interested in Watson, Capstone Project Course would be their first choice.

  Data Science Education, IBM, Machine Learning, NYU, Ran Bi, Watson

• Apple: Sr. Software Engineer, Machine Learning - Aug 13, 2014.
  
  Apply advanced techniques and algorithms to improve an ad network, develop and implement ad algorithms, yield optimization solutions and network data processes, deep understanding of the ad network behavior.

  Apple, Cupertino-CA, Machine Learning, Online advertising, Software Engineer

• Top KDnuggets tweets, Aug 8-10: Forget SQL vs NoSQL. New trend is HTAP: Hybrid Transaction/Analytical Processing - Aug 11, 2014.
  
  Forget SQL vs NoSQL. New trend is HTAP: Hybrid Transaction/Analytical Processing; Metrics that Matter - The Key to Perfect Dashboards; Machine Learning Tutorial: The Max Entropy Text Classifier ; Six Thinking Hats and the Life of a Data Scientist.

  Dashboard, Data Science Certificate, HTAP, Machine Learning, Metrics, Text Classification

• OpenML: Share, Discover and Do Machine Learning - Aug 11, 2014.
  
  OpenML is designed to share, organize and reuse data, code and experiments, so that scientists can make discoveries more efficiently. It is an interesting idea to build a network of machine learning.

  Kaggle, Machine Learning, OpenML, Ran Bi, Weka

• Rule14: Text Mining/Machine Learning Expert - Aug 7, 2014.
  
  Design and implementation of key-phrase/sentence extraction and summarization algorithms, within a variety of domains including: legal, healthcare, banking/finance/insurance.

  Machine Learning, Rule14, Santa Monica-CA, Text Mining

• Top KDnuggets tweets, Aug 4-5: Ensemble Methods, a brief history; Data Scientist role shifting - Aug 6, 2014.
  
  Ensemble Methods are the backbone of #MachineLearning - a brief history; Data Scientist role shifting, with companies focusing on Developers; To add #MachineLearning for Python, scikit-learn; for Hadoop: Mahout; Meet Fortune 2014 #BigData All-Stars: data scientists, entrepreneurs, CEOs.

  Apache Mahout, Data Scientist, Ensemble Methods, Machine Learning, scikit-learn

• Top stories in July: Cartoon: Facebook data science experiment and Cats; Data Mining/Data Science “Nobel Prize” - Aug 5, 2014.
  
  Cartoon: Facebook data science experiment and Happy Cats; Data Mining/Data Science "Nobel Prize": ACM SIGKDD 2014 Innovation Award to Pedro Domingos; Is "Data Scientist" more than "Data Analyst"?; When Watson Meets Machine Learning.

  Cartoon, Data Scientist, Facebook, Machine Learning, MLlib, Pedro Domingos, SIGKDD, Top stories, Watson

• Interview: Taylor Phillips, Square on Why Finance Needs Machine Learning and Data Science - Aug 1, 2014.
  
  We discuss the role of data science at Square, common machine learning use cases, transition to real-time architecture, major challenges, expectations from data science, key qualities for data scientists, and more.

  Data Science, Finance, Fraud Detection, Machine Learning, Real-time, Recommendation, Skills, Square, Taylor Phillips

• UW: Research Scientist Positions - Aug 1, 2014.
  
  Do research and hone your engineering skills in an interdisciplinary environment on projects related to mining biological data, health care analytics, mobile networks, or healthcare big data.

  Healthcare, Machine Learning, Research, Social Good, Tacoma-WA, UW

• Adobe: Manager – Algorithms / Machine Learning, 30834 - Jul 29, 2014.
  
  Lead the Algorithms and Data Sciences group, help build the next generation of products that will allow digital marketers to maximize revenue and expand their brand presence.

  Adobe, Algorithms, Machine Learning, Manager, San Jose-CA

• Summer School on Resource-Aware Machine Learning, Dortmund - Jul 27, 2014.
  
  Attend summer school in Dortmund, Germany covering Machine Learning with Constrained Resources including topics like detecting astro particles using charging variations in smartphones. Applications are due by August 30.

  Dortmund, Germany, Machine Learning, Resource-aware, Smartphone, Stream Mining, Summer School

• Allen Institute: Asst. Investigator – Computational Neuroscience/Machine Learning - Jul 24, 2014.
  
  Our mission is to accelerate the understanding of how the human brain works. Using a big science approach, we generate public resources, drive technological advances, and discover fundamental brain properties.

  Allen Institute, Brain, Machine Learning, Neuroscience, Seattle-WA

• MLlib: Apache Spark component for machine learning - Jul 24, 2014.
  
  MLlib, the machine learning component of Apache Spark, has developed into a tool that supports many common machine learning algorithms and now comes with more mature documentation and a stable API.

  Apache Spark, Daniel D. Gutierrez, Machine Learning, MLlib

• Top KDnuggets tweets, Jul 21-22 - Jul 23, 2014.
  
  Microsoft: Data Scientist; Haskell Data Analysis Cookbook - A practical and concise guide; Large collection of papers on #Security and Machine Learning; Learn Data Science in 12 wks + career coaching.

  Data Science Education, Haskell, Machine Learning, Microsoft, Regression, Security

• Allen Institute: Asst. Investigator – Computational Neuroscience/Machine Learning - Jul 23, 2014.
  
  Our mission is to accelerate the understanding of how the human brain works. Using a big science approach, we generate public resources, drive technological advances, and discover fundamental brain properties.

  Allen Institute, Brain, Machine Learning, Neuroscience, Seattle-WA

• Top stories for Jul 13-19 - Jul 20, 2014.
  
  Cartoon: Facebook data science experiment and Happy Cats; GraphLab Create: large-scale machine learning platform for graph, structured, and text data; MicroStrategy Analytics Desktop - visual tool, free download; Interview: Marc Smith on Why We Need Open Tools for Social Networks.

  GraphLab, Machine Learning, Marc Smith, MicroStrategy, Poll, Top stories

• PredictionIO raised $2.5M for Open Source Machine Learning Server - Jul 17, 2014.
  
  An open source machine learning server, PredictionIO, has raised $2.5M to help build smarter application everywhere. It seems that “smarter” is the new sexy.

  App, Machine Learning, PredictionIO, Startups

• Top KDnuggets tweets, Jul 14-15: 5 R training programs; Making sense of text analytics - Jul 16, 2014.
  
  Top 10 KDnuggets tweets, July 14-15: 5 R training programs; Making sense of text analytics; Watch: Machine Learning Summer School Pittsburgh 2014; US "Data Scientist" average salary up over 10%, to $112K.

  Data Scientist, Machine Learning, R, Salary, Text Analytics

• GraphLab Create: large-scale machine learning platform for graph, structured, and text data - Jul 15, 2014.
  
  GraphLab Create 1.0 brings large-scale machine learning capabilities to enterprises, and is the first to handle graph, structured, and text data in one platform.

  Graph Analytics, GraphLab, Hadoop, Machine Learning

• BIDMach machine learning toolkit - Jul 14, 2014.
  
  BIDMach machine learning toolkit offers "rooflined" (optimized to the limit) compute primitives and competitive performance on learning tasks like regression, clustering, classification, and matrix factorization.

  Machine Learning, Open Source, Tools, UC Berkeley

• Top stories for Jun 29 – Jul 5 - Jul 6, 2014.
  
  Do you need a Masters Degree to become a Data Scientist?; Is "Data Scientist" more than "Data Analyst" ?; When Watson Meets Machine Learning; 100 Big Data Companies Analyzed.

  Big Data Vendors, Data Analyst, Data Scientist, IBM Watson, Machine Learning, Top stories

• When Watson Meets Machine Learning - Jul 2, 2014.
  
  Our report on a recent Cognitive Systems meetup co-sponsored by IBM Watson and NYU Center for Data Science, IBM Watson Ecosystem, and machine learning applications, from healthcare to cognitive toys. You will want Fang!

  App, Cognitive Computing, IBM, Machine Learning, Ran Bi, Watson

• Top KDnuggets tweets, Jun 23-24: Machine learning in the cloud: Microsoft Azure; Understanding Data Distribution - Jun 25, 2014.
  
  Machine learning in the cloud: the brains behind Microsoft Azure; Understanding Data Distribution - key first step in analyzing a new data set; Mapmaking for R Programmers - an introduction. What is Text Analytics?

  Machine Learning, Maps, Microsoft Azure, R, Text Analytics

• UNIGE: PhD position on Machine Learning for representation learning - Jun 23, 2014.
  
  Develop new machine learning methods for representation learning. Position is funded for three years. Applications submitted by June 30 will be given priority.

  Geneva-Switzerland, Machine Learning, PhD position, Representation

• Upcoming Webcasts on Analytics, Big Data, Data Science – Jun 23 and beyond - Jun 23, 2014.
  
  Reducing employee churn, Wolfram language, Rise of Machine Learning, Analytics with Hadoop, Social Media Analytics for Healthcare, and more.

  Big Data Analytics, Employee Churn, Hadoop, Machine Learning, Wolfram

• LION Resources for Teaching Machine Learning and Optimization - Jun 23, 2014.
  
  A great collection of resources for "LION: Learning and Intelligent Optimization" textbook includes slides, tutorial movies, exercises, use cases, and LIONoso - an academic version of LIONsolver software.

  Data Science Education, LIONbook, LIONsolver, Machine Learning, Optimization

• Interview: Conal Sathi, Data Scientist, Slice on Creating Value from Mining Shoppers’ e-Receipts - Jun 16, 2014.
  
  We discuss the relevance of "Purchase Graph", Slice platform, analytical insights from mining all activity around a customer's purchase, experimentation strategy, experience of working as a data scientist and more.

  Conal Sathi, Consumer Insights, Experimentation, Graph Analytics, Interview, Machine Learning

• DLib: Library for Machine Learning - Jun 10, 2014.
  
  DLib is an open source C++ library implementing a variety of machine learning algorithms, including classification, regression, clustering, data transformation, and structured prediction.

  C++, DLib, Machine Learning, Open Source, Tools

• Apple: Sr. Software Engineer, Machine Learning - Jun 5, 2014.
  
  Apply advanced techniques and algorithms to improve an ad network, develop and implement ad algorithms, yield optimization solutions and network data processes, deep understanding of the ad network behavior.

  Apple, Cupertino-CA, Machine Learning, Online advertising, Software Engineer

• Big Data for Executives 2014: Day 2 Highlights - May 29, 2014.
  
  Highlights from the presentations by Big Data experts from McKinsey Solutions, SAP, Techfetch, Weather Analytics on Day 2 of Big Data for Executives 2014.

  Analytics, Big Data, Machine Learning, Visualization, Washington-DC

• Top KDnuggets tweets, May 26-27 - May 28, 2014.
  
  Machine Learning Algorithms Tour: Regression, kNN, Regularization, Decision Tree; Where to Learn Deep Learning - Courses, Tutorials, Software; 9 Courses on Data Science, R, Machine Learning start on Coursera.

  Algorithms, Brazil, Coursera, Data Science Education, Deep Learning, Machine Learning, World Cup

• Uni. Paderborn: Paid PhD position, Machine Learning / Predictive Analytics / Data Mining - May 27, 2014.
  
  Support research projects in machine learning and data mining, help students in Kaggle competitions, help teach. Position is offered for 2 years with possible extension. This position is now closed.

  Machine Learning, Paderborn-Germany, PhD position, Recommender Systems

• Interview: Martin Hack, CEO, Skytree on Industrializing Machine Learning for Big Data - May 26, 2014.
  
  We discuss the mission of Skytree, product strategy, complimentary consulting programs, recent trends, and current expectations from Machine Learning.

  Advanced Analytics, Machine Learning, Martin Hack, Predictive Analytics, Skytree

• Vowpal Wabbit: Fast Learning on Big Data - May 26, 2014.
  
  Vowpal Wabbit is a fast out-of-core machine learning system, which can learn from huge, terascale datasets faster than any other current algorithm. We also explain the cute name.

  Fast Learning, John Langford, Machine Learning, Microsoft, Vowpal Wabbit

• Where to Learn Deep Learning – Courses, Tutorials, Software - May 26, 2014.
  
  Deep Learning is a very hot Machine Learning techniques which has been achieving remarkable results recently. We give a list of free resources for learning and using Deep Learning.

  Andrew Ng, Deep Learning, Geoff Hinton, Machine Learning, Yann LeCun

• TU-Darmstadt: Postdocs in Statistical NLP, IR, Machine Learning - May 24, 2014.
  
  Researcher with a background in statistical NLP, machine learning, or IR for a postdoc position working to combine large-scale knowledge bases with semantic information from large amounts of text.

  Germany, IR, Machine Learning, NLP, Postdoc, TU-Darmstadt

• MADALGO Summer School on LEARNING AT SCALE, August 11-14, Denmark - May 22, 2014.
  
  MADALGO Summer School will teach the latest developments in learning at scale as applied to Big Data. Registration is free on a first-come-first serve basis. Denmark, Aug 11 - 14, 2014.

  Big Data, Denmark, Machine Learning, Optimization, Summer School

• Stacking the Deck: The Next Wave of Opportunity in Big Data - May 20, 2014.
  
  A leading venture capitalist explains why Big Data infrastructure market is mostly mature and where lies the next big area of opportunities related to Big Data.

  Chip Hazard, Full Stack Analytics, Machine Learning, Network Effects, Startups, VC

• Exclusive: Tamr at the New Frontier of Big Data Curation - May 19, 2014.
  
  Our exclusive profile of Tamr (former Data Tamer), the latest startup from legendary Michael Stonebraker, which emerged from stealth mode to address the new field of Big Data Curation.

  Andy Palmer, Data Curation, Machine Learning, Michael Brodie, Michael Stonebraker, Startups, Tamr

• Top stories for May 11-17 - May 19, 2014.
  
  Guide to Data Science Cheat Sheets; Watch: Basics of Machine Learning; Cartoon: Data Visualization meets 3-D Printer; Social Media and Web Analytics Innovation Summit 2014 Highlights.

  3-D Printing, Cartoon, Cheat Sheet, Machine Learning, Summit, Top stories

• Top KDnuggets Tweets, May 14-15: Easier Facebook Network Analysis; Cloudera Live, a New Way to Start with Hadoop - May 16, 2014.
  
  Facebook Network analysis, visualization is easier with httr from R wizard; Cloudera Live offers a new way start with #Hadoop - No downloads; Watch: Basics of Machine Learning ; BigML Machine Learning platform Spring Release.

  BigML, Cloudera, Facebook, Hadoop, Machine Learning, R

• Resource-aware Machine Learning – Summer School 2014, Germany - May 16, 2014.
  
  Summer school in Dortmund, Germany covers Machine Learning with Constrained Resources including topics like detecting astro particles using smartphones. Applications are due by June 30.

  Dortmund, Germany, Machine Learning, Resource-aware, Summer School

• Sentiment Analysis Innovation Summit 2014: Day 1 Highlights - May 14, 2014.
  
  Highlights from the presentations by opinion mining experts from Twitter, eBay and Samsung on Day 1 of Sentiment Analysis Innovation Summit 2014 in San Francisco.

  Innovation, Machine Learning, San Francisco-CA, Semantic Analysis, Sentiment Analysis

• Watch: Basics of Machine Learning - May 14, 2014.
  
  Watch series on machine learning, going from basics like Naive Bayes, Decision Tree, Generalization and Overfitting, to more complex topics like Hierarchical Agglomerative Clustering.

  Machine Learning, Online Education, Victor Lavrenko, Youtube

• Top KDnuggets tweets, May 9-11: Data Mining for Statisticians; For teachers (and students) of Machine Learning - May 12, 2014.
  
  Data Mining for Statisticians ; For teachers (and students) of #MachineLearning - Slides for LIONbook; Build a word cloud using R text mining tools - step-by-step; Graph Theory: Key to Understanding #BigData - graphs are not just for Google or eBay.

  Graph Theory, LIONbook, Machine Learning, R, Statisticians, Text Mining

• Interview: Xinghua Lou (Microsoft) on Mining Clinical Notes and Big Data in Healthcare - May 7, 2014.
  
  We discuss data mining of cancer clinical data, LDA topic model, challenges in mining clinical notes, big data in healthcare and more.

  Healthcare, Interview, Machine Learning, Microsoft, Researchers, Xinghua Lou

• Top KDnuggets tweets, May 2-4: Big List of Machine Learning, #DataScience, and Statistics Resources - May 5, 2014.
  
  Big List of Machine Learning, #DataScience, and Statistics Resources; 7 Free or low-cost ways to Learn Data Mining & Data Science ; Datasight.io - machine learning for the masses - now in beta; Every MIT undergrad will get $100 of Bitcoin.

  Bitcoin, Data Science Education, Datasight.io, Machine Learning, MIT

• Top stories for Apr 27 – May 3 - May 4, 2014.
  
  Cartoon: Data Scientist Salary Negotiation; 9 Free Books for Learning Data Mining and Data Analysis; MLTK: Machine Learning Toolkit in Java - free download; Mass Big Data Report 2014.

  Cartoon, Free ebook, Machine Learning, Massachusetts, Top stories

• Top stories in April - May 2, 2014.
  
  Apache Spark, the hot new trend in Big Data; Data Analytics Handbook - interviews with tech leaders, free download; Learning and Teaching Machine Learning; 9 Free Books for Learning Data Mining and Data Analysis.

  Apache Spark, Data Science Education, Free ebook, Machine Learning, Top stories

• Top KDnuggets tweets, Apr 25-27: Recommended Tutorials for Data Scientists; How One Woman Hid Her Pregnancy from Big Data - Apr 28, 2014.
  
  Recommended Tutorials for Data Scientists from PyCon 2014; How One Woman Hid Her Pregnancy from #BigData; MLTK: Machine Learning Toolkit in Java - free download; Deep Learning for Natural Language Processing.

  Data Science Tutorial, Deep Learning, Java, Machine Learning, NLP, Pregnancy, Python

• MLTK: Machine Learning Toolkit in Java – free download - Apr 27, 2014.
  
  MLTK is a collection of machine learning algorithms in Java, supporting Generalized Linear Models: Ridge, Lasso, Elastic Net, Regression Trees, Random Forests, and more. Free download under BSD license.

  free download, Java, Machine Learning

• Top stories for Apr 20-26 - Apr 27, 2014.
  
  Elusive Data Scientists Driving High Salaries; Data Workflows for Machine Learning; New Book: Social Media Mining - free PDF download; Microsoft Expands Big Data Platform.

  Data Scientist, Machine Learning, Microsoft, Paco Nathan, Salary, Social Media Analytics

• Top KDnuggets tweets, Apr 23-24: It does look similar, but …; Why people are bad at technology predictions - Apr 25, 2014.
  
  #BigData Cartoon: "It does look similar - but this one is powered by Hadoop"; Great list: 9 Python Machine Learning Books; Why people are bad at technology predictions; Too busy recommending things to experience them.

  Cartoon, Hadoop, Machine Learning, Python, Quantum Computing

• Top KDnuggets tweets, Apr 18-20 - Apr 22, 2014.
  
  Cross-validation pitfalls for regression/classification and how to avoid them; Data Workflows for Machine Learning ; Apache Spark, the hot new trend in Big Data ; Visual Analysis Best Practices - download a free guidebook from Tableau.

  Apache Spark, Cross-validation, Machine Learning, Tableau

• Data Workflows for Machine Learning - Apr 20, 2014.
  
  Paco Nathan compares several open source frameworks for Machine Learning workflows, including KNIME, IPython Notebook and related libraries, Cascading, Cascalog, and Spark/MLbase, and proposes 9 criteria to evaluate the best alternatives.

  Data Workflow, IPython, Knime, Machine Learning, Paco Nathan

• Top stories for Apr 6-12 - Apr 13, 2014.
  
  Learning and Teaching Machine Learning: A Personal Journey; Interactive Big Data Timeline; Big Data Vendor Analysis; Beyond the Science of Data Science.

  Big Data Market, Machine Learning, Teaching, Timeline

• Prediction.io open source machine learning server - Apr 10, 2014.
  
  Prediction.io is an open source machine learning server for predictive solutions, such as personalization or recommendations, built on top of scalable frameworks such as Hadoop and Cascading - ready to handle Big Data.

  Machine Learning, Open Source, Personalization, PredictionIO, Recommendation Engine