Recent Big Data and Machine Learning Info Digest 2016/02/16

Sick of ETL? Database virtualization can help (Big Data and RDBMS)

Bossie Awards 2015: The best open source big data tools

AI and robots threaten to unleash mass unemployment, scientists warn

Top 12 Explanations You’ll Hear in 2016 for Why Big Data Isn’t Paying Off

Recent Big Data and Machine Learning Info Digest 2016/02/13

Online reading behavior predicts stock movements

How eBay's Kylin Tool Makes Sense Of Big Data

From Discovery to Selection: 10 Things We Learned About Machine Learning and Data Science

Teach Yourself Deep Learning with TensorFlow and Udacity

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 2016/01/27

Marvin Minsky Reflects on a Life in AI

Best Data Science Online Courses

Better Understand Your Data in R Using Descriptive Statistics (8 recipes you can use today)

5 steps to land a data science job in just 6 months

Using Statistical Algorithms for Success in Kaggle’s Data Science Competitions

13 big data certifications that will pay off

Is Blockchain the most important IT invention of our age?

48 Amazingly Cool Free Applications for Doing #DataScience

Recent Big Data and Machine Learning Info Digest 2016/01/24

How the artificial intelligence revolution was born in a Vancouver hotel

Hadoop and Big Data: The Top 6 Questions Answered

New Data Sources for R

100+ Interesting Data Sets for Statistics

UC Irvine Machine Learning Repository

Recent Big Data and Machine Learning Info Digest 2016/01/18

This is the story of analytics at Kickstarter 

Interview: Brad Klingenberg, Director of Styling Algorithms at Stitch Fix 

Advice for data scientists - StitchFix 

Monetizing Mobile Deep Linking: Who is Really Controlling the User? 


Thanks Shaohua for above information sharing.

Talks (video) Given by Well-known Data Scientists

Hilary Mason (was chief scientist at bit.ly and was regarded as one of the most powerful women in data tech)

DJ Patil (U.S. Chief Data Scientist at White House Office of Science and Technology Policy)

Jeff Hammerbacher (built Facebook data science team, chief sicentist as Cloudera)