Big Data Big

Saturday, January 21, 2017

Recent Big Data and Machine Learning Info Digest 2017/01/21

Data Science: Identifying Variables That Might Be Better Predictors

Learn TensorFlow and deep learning, without a Ph.D.

Why 2017 is the year of data-driven AI

Rules of Machine Learning: Best Practices for ML Engineering

AI Software Learns to Make AI Software

Designing Neural Network Architectures using Reinforcement Learning

How to present your data science portfolio on Github
Posted by William at 5:28 PM No comments:
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Labels: 2017, AI, CNN, Data Science, Deep Learning, Dell, EMC, Github, Google, MIT, RNN, TensorFlow

Friday, January 13, 2017

Recent Big Data and Machine Learning Info Digest 2017/01/13

Hadoop Is Falling (Adoption has slowed considerably, but is that the fault of the platform?)

Should a machine learning beginner go straight for deep learning?

The major advancements in Deep Learning in 2016

8 data trends on our radar for 2017

Deep Learning Enables You to Hide Screen when Your Boss is Approaching

All Eyes On AI in 2017

Deep Learning in Python: Getting Started

Unlock Value in Massive Datasets (Coursera - Learn fundamental big data methods in six straightforward courses.)

Big Data Platform: Landscape Review by 2017

Python Data Science Handbook
Posted by William at 5:52 PM No comments:
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Labels: 2017, AI, Data Science, Deep Learning, Hadoop, Handbook, Machine Learning, Python, Quora, Trend

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

Saturday, November 26, 2016

Recent Big Data and Machine Learning Info Digest 2016/11/26

40 Ways Deep Learning is Eating the World

Do You Really Have Big Data, Or Just Too Much Data?

Hadoop Integration Benchmark (report)

Big Data Programming Languages: What Are The Differences Between Python, R, and Julia?

The Simple Economics of Machine Intelligence

How Predictive AI Will Change Shopping

Key Facebook Engineer Departs To Start Deep Learning Hardware Company
Posted by William at 6:02 PM No comments:
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Labels: AI, Benchmark, Big Data, Deep Learning, Facebook, Hadoop, Hardware, Julia, Language, Machine Learning, Python, R, Shopping
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