Kaggle Competition (Facebook recruiting): Human or Robot?
Facebook and Kaggle are launching an Engineering competition for 2015 - leaders will earn an opportunity to interview for a software engineer at Facebook, working on world class Machine Learning problems.
In this competition, you'll be chasing down robots for an online auction site.
on Apr 28, 2015 in Bots, Competition, Facebook, Humans vs Machines, Kaggle, Software Engineer
Top /r/MachineLearning Posts, Apr 19-25: Neural nets for nipple detection; NHL Goal celebration hack
Convolutional neural nets and Android App for nipple detection (NSFW), NHL goal detection, Geoff Hinton recent AI talk, top machine learning podcasts, and matrix multiplication in deep learning.
on Apr 27, 2015 in Deep Learning, Geoff Hinton, Grant Marshall, Machine Learning, Podcast, Reddit
Top stories for Apr 19-25: Top LinkedIn Groups for Analytics, Big Data, Data Mining; 10 R Packages for a Kaggle Champion
Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science - from "Big Bang to Now"; Top 10 R Packages to be a Kaggle Champion; Deep Learning to Fight Crime.
on Apr 26, 2015 in Top stories
Top /r/MachineLearning Posts, Apr 12-18: Andrew Ng AMA, Autoencoders, and Deep Learning Textbooks
Andrew Ng's AMA, a probabilistic view of Autoencoders, open source sentiment analysis, deep learning textbooks, and Airbnb's host matching are all discussed this week on /r/MachineLearning.
on Apr 23, 2015 in AirBnB, Andrew Ng, Baidu, Deep Learning, Grant Marshall, Open Source, Reddit, Sentiment Analysis, Textbook
KDnuggets Poll: Future of Predictive Analytics: Human or Machine?
The robots are taking over many jobs - will they take yours and mine? New KDnuggets Poll is asking if and when automation will reach the level of human data scientists.
on Apr 21, 2015 in Artificial Intelligence, Automation, Poll
Top stories for Apr 12-18: Awesome Public Datasets on GitHub; Cloud Machine Learning Wars: Amazon vs IBM Watson vs Microsoft Azure
Awesome Public Datasets on GitHub; Preventing Overfitting in Neural Networks; Cloud Machine Learning Wars: Amazon vs IBM Watson vs Microsoft Azure; The Grammar of Data Science: Python vs R.
on Apr 19, 2015 in Top stories
Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science – from “Big Bang” to Now
We examine top LinkedIn groups in Analytics, Big Data, Data Mining, and Data Science from the Big Bang era of group creation to present, and identify the largest groups, the fastest growing groups, and 2 main clusters.
on Apr 19, 2015 in About KDnuggets, LinkedIn, LinkedIn Groups
Cartoon: A solution for Data Scientists allergies caused by Big Data
With more and more allergies and big trend towards gluten-free everything, new KDnuggets cartoon envisions a possible solution for Data Scientists allergies.
on Apr 17, 2015 in Allergy, Big Data, Cartoon, Data Scientist
Top /r/MachineLearning Posts, Apr 5-11: Amazon Machine Learning, Numerical Optimization, and Conditional Random Fields
Amazon Machine Learning as a Service, Numerical Optimization, Extracting data from NYTimes recipes, Intro to Machine Learning with sci-kit, and more.
on Apr 14, 2015 in Amazon, Deep Learning, Kaggle, Machine Learning, Probability, Python, Reddit, scikit-learn
Top stories for Apr 5-11: 10 things statistics taught us about big data analysis; Awesome Public Datasets on GitHub
10 things statistics taught us about big data analysis; The Grammar of Data Science: Python vs R; Predictive Analytics Innovation Summit (San Diego) Highlights; Awesome Public Datasets on GitHub.
on Apr 12, 2015 in Top stories
Top /r/MachineLearning Posts, Mar 29-Apr 4: Andrew Ng AMA, Deep Learning for NLP, and OpenCL Convnets
Andrew Ng's upcoming AMA, scikit-learn updates, Richard Socher's Deep Learning NLP videos, Criteo's huge new dataset, and convolutional neural networks on OpenCL are the top topics discussed this week on /r/MachineLearning.
on Apr 10, 2015 in Andrew Ng, Convolutional Neural Networks, Datasets, Deep Learning, NLP, Python, Reddit, scikit-learn
March 2015 Analytics, Big Data, Data Mining Acquisitions and Startups Activity
March 2015 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Apple buys Acunu, Algorithmia Launches, Dataminr raises $130M, PatentVector, Looker, and more.
on Apr 9, 2015 in Acunu, Algorithmia, Apple, Dataminr, Looker, Startups
Top stories in March: 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; More Free Data Mining, Data Science Books and Resources; The Grammar of Data Science: Python vs R.
on Apr 7, 2015 in Top stories
Top stories for Mar 29 – Apr 4: Deep Learning, Dimensionality, and Autoencoders; The Grammar of Data Science: Python vs R
Deep Learning, The Curse of Dimensionality, and Autoencoders; The Grammar of Data Science: Python vs R; Data Science as a profession - time is now; Forrester Wave Big Data Predictive Analytics 2015: Gainers and Losers.
on Apr 5, 2015 in Top stories
Additions to KDnuggets Directory in March 2015
TDWI Chicago, XLDB 2015, Text Analytics East, Sentiment Symposium NYC, Sliderule Intro to Data Science, U.Pacific MS in Analytics, ReportMiner, MoData, Iepy open-source Info Extraction, and more meetings, companies, education, and software.
on Apr 5, 2015 in Data Science Education, MS in Analytics, New York City, Santa Clara
Poll: Machine Learning APIs
Poll from Bart Baesens at KU Leuven asks about your usage of Machine Learning APIs and other predictive analytics tools.
on Apr 4, 2015 in API, Bart Baesens, Machine Learning, Poll
Forrester Wave(tm) Big Data Predictive Analytics 2015: Gainers and Losers
IBM, SAS, and SAP lead in Forrester Wave(tm) Big Data Predictive Analytics Solutions for Q2, 2015. We compare with a previous Forrester Wave for 2013 and examine gainers and losers.
on Apr 3, 2015 in Alpine, Alteryx, Angoss, FICO, Forrester, IBM, Knime, Mike Gualtieri, Oracle, Predictive Analytics, RapidMiner, SAP, SAS
Big Data for the Common Good “Collider”, at Frankfurt / Berkeley
The Frankfurt Big Data Lab and ODBMS.org cooperate with the Center for Entrepreneurship & Technology (CET) at UC Berkeley to enable the creation of project proposals for Big Data for the Common Good.
on Apr 1, 2015 in Big Data, Frankfurt, Germany, Social Good, UC Berkeley
Computing Platforms for Analytics, Data Mining, Data Science
The poll results suggest a split between a majority of data miners and data scientists who work with growing but still "PC-size", small GB-sized data, and a smaller group of Big Data analysts who work with cloud-sized data. Cloud computing, Unix, and especially Mac gained in popularity.
on Apr 1, 2015 in Apple, Cloud Computing, Poll
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