Big Data Big
Saturday, October 29, 2016
Recent Big Data and Machine Learning Info Digest 2016/10/29
Pandas Tutorial: Data analysis with Python: Part 1
Big Data Processing with Apache Spark – Part 1: Introduction
IBM announced new Watson Data Platform
Digital Disruption In Banking
Big data architectures face big hurdles with technology integration
Saturday, October 22, 2016
Recent Big Data and Machine Learning Info Digest 2016/10/22
Explaining Data Science to High School Students
Big data: Why the boom is already over
Banking, manufacturing industries will fuel demand for big data products: IDC
Kaggle Ranking #1: The Data Science (and more) of Predicting Consumer Debt Default
Preparing for the Future of Artificial Intelligence (White House)
Ask HN: How to get started with machine learning?
Friday, October 14, 2016
Recent Big Data and Machine Learning Info Digest 2016/10/14
Deep Reinforcement Learning: Pong from Pixels
Data Mining in Python: A Guide
Top-down learning path: Machine Learning for Software Engineers
Can we open the black box of AI?
Gartner Survey Reveals Investment in Big Data Is Up but Fewer Organizations Plan to Invest
The broken promise of open-source Big Data software – and what might fix it
Friday, October 7, 2016
Recent Big Data and Machine Learning Info Digest 2016/10/07
Machine Learning in a Year
Staying on Top of The Game with Modern Big Data
Why Palantir is Silicon Valley’s most questionable un
icorn
What is the difference between AI, Machine Learning, NLP, and Deep Learning?
Why Deep Learning Is Suddenly Changing Your Life
Saturday, October 1, 2016
Recent Big Data and Machine Learning Info Digest 2016/10/01
What are the major bottlenecks in making deep learning systems more effective (as of 2016)?
A Neural Network for Machine Translation, at Production Scale
Amazon's new GPU-cloud wants to chew through your AI and big data projects
Sentimental Analysis of the First Presidential Debate of 2016 Using Machine Learning
A Beginner's Guide to Apache Flink – 12 Key Terms, Explained
Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Video Understanding Research
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