Big Data Big

Monday, February 29, 2016

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?
Posted by William at 11:26 PM No comments:
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Labels: Cassandra, Data Scientist, IBM, Job, NoSQL, Watson

Tuesday, February 23, 2016

Recent Big Data and Machine Learning Info Digest 2016/02/23

8 Ways To Monetize Data

50 Years of Data Science by David Donoho

Facebook Says It Has Created The Most Accurate Population Density Models Ever

Top 10 Quora Machine Learning Writers and Their Best Advice

Top 10 Data Mining Algorithms, Explained

Advanced Analytics Software’s Most Important Feature? Gartner Says it’s VCF
Posted by William at 9:47 PM No comments:
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Labels: Algorithms, Data Mining, Data Science, David Donoho, Facebook, Gartner, MIT, Quora, VCF

Sunday, February 21, 2016

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

Posted by William at 12:19 PM No comments:
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Labels: Data Scientist, IBM, Jun Ma, Lab41, Neural Network, R, Recommendation, Watson

Tuesday, February 16, 2016

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
Posted by William at 10:41 PM No comments:
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Labels: AI, Open Source, Virtualization

Saturday, February 13, 2016

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
Posted by William at 11:21 PM No comments:
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Labels: eBay, Google, Kylin, Machine Learning, TensorFlow
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