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

Recent Big Data and Machine Learning Info Digest 2016/02/29

Watson Analytics’ Intelligent Application on Financial Markets

Is Being A Data Scientist Really The Best Job In America?

Data Science and Big Data: Two very Different Beasts

What’s new in Cassandra 3.0?

Recent Big Data and Machine Learning Info Digest 2016/02/21

18 Reasons Data Scientists are Difficult to Manage

Building the Next Generation of Apps with IBM Watson

Recommending Recommendation Systems

The Nine Must-Have Datasets for Investigating Recommender Systems

Build your own neural network classifier in R

Recent Big Data and Machine Learning Info Digest 2016/01/31

How can a Data Scientist student develop domain expertise?

Deep Learning with Spark and TensorFlow

15 big data and analytics companies to watch

8 ways IBM Watson Analytics is transforming business

Hadoop Jobs: 9 Ways To Get Hired

Recent Big Data and Machine Learning Info Digest 2016/01/13

Michael Stonebraker: Big Data is (at least) Four Different Problems

• Stonebraker on "SQL Databases v. NoSQL Databases"
• Stonebraker on "NoSQL and Enterprises"
• Stonebraker on "mapReduce and Parallel DBmss"

10 More lessons learned from building real-life Machine Learning systems — Part I

Artificial Intelligence: Can Watson Save IBM?

Algorithms can predict how students will answer questions, and even explain why they would get questions wrong [paper]

Epic visualizations from FlowingData in 2015

Benchmarking streaming computation engines at Yahoo!

The untapped potential of health care APIs 

Microsoft researchers win Imagenet computer vision challenge

Learn python overtakes learn java

Data scientists keep forgetting the one rule every researcher should know by heart


Thanks Shaohua for above information sharing.