Big Data Big

Saturday, December 31, 2016

Recent Big Data and Machine Learning Info Digest 2016/12/31

Why Big Data is in Trouble: They Forgot About Applied Statistics

Is Data Science Ripe for a Massive Merger & Acquisition / Consolidation?

A Guide to Deep Learning by YN2

Predictions for Deep Learning in 2017

Top 30 Data Science Articles of the Year

28 Jupyter Notebook tips, tricks and shortcuts

Practical Deep Learning For Coders, Part 1
Posted by William at 8:48 PM No comments:
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Labels: 2017, Big Data, Data Science, Deep Learning, IBM, Jeremy Howard, Jupyter Notebook, Prediction

Sunday, December 18, 2016

Recent Big Data and Machine Learning Info Digest 2016/12/18

The major advancements in Deep Learning in 2016

Three Major Benefits of Big Data

Comprehensive learning path – Data Science in Python

Apache Spark: A Unified Engine for Big Data Processing

Why Deep Learning is Radically Different from Machine Learning

The Most Boring/Valuable Data Science Advice
Posted by William at 10:28 PM No comments:
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Labels: 2016, Big Data, Data Science, Deep Learning, Machine Learning, Python, Spark

Saturday, December 10, 2016

Recent Big Data and Machine Learning Info Digest 2016/12/10

Deep Learning Summer School, Montreal 2016

iSee: Using deep learning to remove eyeglasses from faces

Apache Spark and Amazon S3 — Gotchas and best practices

A Day in the Life of a Data Engineer

Pandas Tutorial: Data analysis with Python: Part 2

This AI Boom Will Also Bust

Big Data Extraction Tools For Good Decision-making

Hortonworks: MapR Shows a Better Way, Says Cowen
Posted by William at 11:28 PM No comments:
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Labels: AI, Amazon, Barrons, Big Data, Data Engineering, Deep Learning, eyeglasses, Hortonworks, MapR, Montreal, Pandas, Python, Spark

Sunday, December 4, 2016

Recent Big Data and Machine Learning Info Digest 2016/12/04

The Top 7 Big Data Trends for 2017

Why Self-Service Prep Is a Killer App for Big Data

First 12 chapters of the Machine Learning Yearning book draft from Andrew Ng

An Interactive Tutorial on Numerical Optimization

Probabilistic Programming

Computers could soon be our best developers
Posted by William at 2:07 PM No comments:
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Labels: AI, Andrew Ng, Ben Frederickson, Big Data, Cornell, Machine Learning, Trend
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