Top /r/MachineLearning Posts, Mar 22-28: Deep Learning flaws & Security, DeepMind Publications, and Keras
Computer Vision security issues, DeepMind, statistics with Python, hacking on neural networks, and Keras, a neural network library are all topics on top of /r/MachineLearning this week.
on Mar 30, 2015 in Deep Learning, DeepMind, Neural Networks, Python, Reddit, Security, Statistics
Top stories for Mar 22-28: More Free Data Mining, Data Science Books; PredictionIO vs Microsoft Azure Machine Learning
More Free Data Mining, Data Science Books and Resources; PredictionIO (Open Source Version) vs Microsoft Azure Machine Learning; Do We Need More Training Data or More Complex Models? Data science done well looks easy, which is a big problem.
on Mar 29, 2015 in Top stories
Database Pioneer Michael Stonebraker Wins ACM Turing Award, Computing “Nobel Prize”
Michael Stonebraker, a database pioneer and a serial entrepreneur, won the 2014 ACM Turing Award (which carries $1 million prize) for fundamental contributions to the concepts and practices in modern database systems.
on Mar 25, 2015 in ACM, Michael Stonebraker, MIT, SciDB, Tamr
Top stories for Mar 15-21: Deep Learning for Text Understanding from Scratch; White House on Big Data and Differential Pricing
Deep Learning for Text Understanding from Scratch; 7 common mistakes when doing Machine Learning; White House report on Big Data and Differential Pricing; Why Data Gravity Cannot be Ignored.
on Mar 22, 2015 in Top stories
2015 SIGKDD Data Science/Data Mining PhD Dissertation Award – Nominations due Apr 30
This annual award by ACM SIGKDD seeks to recognize outstanding research by doctoral candidates in the field of data mining, data science, and knowledge discovery. Nominations due Apr 30.
on Mar 21, 2015 in ACM, Awards, Dissertation, KDD-2015, PhD, SIGKDD
Top /r/MachineLearning Posts, Mar 8-14: Word vectors, Hardware for Deep Learning, and Neural Graphics Engines
Word vectors in NLP, Machine Learning's place in programming, hardware for deep learning, Machine Learning interviews, and neural graphics engines are all topics covered this week on /r/MachineLearning.
on Mar 19, 2015 in Deep Learning, GPU, Graphics, Interview Questions, NLP, Reddit
Ontotext Introduces the S4 Developer Challenge
The challenge will award a cash prize to developers that write the most interesting demo, application or show case utilizing the S4 capabilities for text analytics, linked data and knowledge graphs. Submissions due Mar 31.
on Mar 17, 2015 in Challenge, Developers, Ontotext, RDF, Triplestore
Top stories for Mar 8-14: 7 common Machine Learning mistakes; Deep Learning for Text Understanding from Scratch
7 common mistakes when doing Machine Learning; Deep Learning for Text Understanding from Scratch; SQL-like Query Language for Real-time Streaming Analytics; 10 Steps to Success in Kaggle Data Science Competitions.
on Mar 15, 2015 in Top stories
New Poll: Computing platform for your analytics, data mining, data science work or research
New KDnuggets Poll is asking: What computing platform you use for analytics, data mining, data science work or research? Please vote.
on Mar 14, 2015 in Cloud Computing, Data Science Platform, In-Memory Computing, Poll
Participate in the Rexer Analytics 2015 Data Miner Survey
Data Analysts, Predictive Modelers, Data Scientists, Data Miners, and all other types of analytic professionals, students, and academics - please participate in the Rexer Analytics 2015 Data Miner Survey.
on Mar 14, 2015 in Data Miner, Rexer Analytics, Survey
Cartoon: US Chief Data Scientist Most Difficult Challenge
New KDnuggets cartoon looks at the most difficult challenge facing the first US Chief Data Scientist DJ Patil @dpatil.
on Mar 13, 2015 in Cartoon, Data Scientist, DJ Patil, Government
Feb 2015 Analytics, Big Data, Data Mining Acquisitions and Startups Activity
Feb 2015 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: @Kaggle cuts 1/3 of staff, Infosys buys Panaya, RapidMiner gets $15M, Palantir buys Fancy That, Hitachi buys Pentaho, and more.
on Mar 12, 2015 in Hitachi, Infosys, Kaggle, Palantir, Pentaho, RapidMiner, Startups
Top stories for Mar 1-7: All Machine Learning Models Have Flaws; Analytics, Data Mining, Data Science professionals salary
All Machine Learning Models Have Flaws; Analytics, Data Mining, Data Science professionals well compensated; 7 common mistakes when doing Machine Learning; Interviews with Ted Dunning (MapR) and Kaiser Fung (junkcharts).
on Mar 9, 2015 in Top stories
Top /r/MachineLearning Posts, Mar 1-7: Stanford Deep Learning for NLP, Machine Learning with Scikit-learn
This week on /r/MachineLearning, we have a new NLP-focused deep learning course from Stanford, an introduction to scikit-learn, visualization of music collections, an implementation of DeepMind, and NLP using deep learning and Torch.
on Mar 9, 2015 in Deep Learning, DeepMind, Facebook, GPU, Python, Reddit, scikit-learn, Torch
GISCUP: GIS-focused algorithm competition at ACM SIGSPATIAL GIS 2015
Route planner in real-time one of the most popular web GIS services in use today, and 2015 contest is to find shortest path under polygonal obstacles.
on Mar 6, 2015 in ACM, Competition, GIS, SIGSPATIAL
10 Predictive Analytics Influencers You Need to Know
A list of Predictive Analytics Influencers based on Twitter activity around “#PredictiveAnalytics” and “Predictive Analytics”: Gregory Piatetsky, Vineet Vashishta, Aki Kakko and more.
on Mar 5, 2015 in About Gregory Piatetsky, About KDnuggets, Big Data Influencers, Dataconomy, Influencers, Mike Gualtieri, Predictive Analytics
Top /r/Machine Learning Posts, February: Automating Tinder, Jurgen Schmidhuber, and Shazam
Automating Tinder with Eigenfaces, the elephant in the room of Machine Learning, the Jürgen Schmidhuber AMA, and Shazam's music recognition algorithm make up the top posts in the last month on /r/MachineLearning.
on Mar 5, 2015 in Deep Learning, Eigenface, Jurgen Schmidhuber, Machine Learning, Reddit, Tinder
Top stories in February: 10 things statistics taught about big data; Gartner Analytics MQ: gainers and losers
10 things statistics taught us about big data analysis; Data Science's Most Used, Confused, and Abused Jargon; Gartner Analytics MQ: gainers and losers; My Brief Guide to Big Data and Predictive Analytics for non-experts.
on Mar 5, 2015 in Top stories
Top /r/MachineLearning Posts, Feb 22-28: Jurgen Schmidhuber AMA and Machine Learning Done Wrong
The Jürgen Schmidhuber AMA begins taking questions, machine learning done wrong, GPUs for deep learning, Google opens its native MapReduce capabilities, and Google publishes its DeepMind paper this week on /r/MachineLearning
on Mar 4, 2015 in Deep Learning, DeepMind, GPU, Jurgen Schmidhuber, Machine Learning, Reddit
Analytics, Data Mining, Data Science professionals well compensated
US, Canada, and Australian analytics professionals are paid the most, with US/Canada Industry Data Science Managers earning on average $177K, Industry Data Scientists $126K, Academic Researchers $119K, and Data Analysts $86K.
on Mar 3, 2015 in Asia, Australia, Canada, Data Scientist, Europe, Manager, Poll, Salary, USA
Top stories for Feb 22-28: Gartner 2015 MQ for Advanced Analytics: gainers and losers; History of Data Science Infographic
Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost; History of Data Science Infographic in 5 strands; Interview: David Kasik, Boeing on Data Analysis vs Data Analytics.
on Mar 1, 2015 in Top stories
Additions to KDnuggets Directory in February
Big Data Paris, Wharton Conf: Successful Applications of Customer Analytics, analytics consulting firms, Georgetown MS in Analytics, MSc in Data Science in France, and more meetings, companies, education, and solutions.
on Mar 1, 2015 in Belgium, Brandeis, Brussels, DC, France, Paris, Washington, Wharton