Recent AI, Big Data, Deep Learning, Machine Learning Info Digest 2017/11/03

2017 The State of Data Science & Machine Learning
This year, for the first time, Kaggle conducted an industry-wide survey to establish a comprehensive view of the state of data science and machine learning. It received over 16,000 responses and learned a ton about who is working with data, what’s happening at the cutting edge of machine learning across industries, and how new data scientists can best break into the field. The below report shares some of their key findings and includes interactive visualizations so you can easily cut the data to find out exactly what you want to know.

CapsNet-Tensorflow
A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules

Blockchain, Machine Learning, Robotics, Artificial Intelligence And Wireless Technologies Will Reshape Digital Business In 2018
Blockchain, together with artificial intelligence, machine learning, robotics, and virtual and augmented reality, have the potential to deliver disruptive outcomes and reshape digital business in 2018. And companies that have not started the digital investment cycle are at high risk of being disrupted.

Awesome Machine Learning for Cybersecurity
A curated list of amazingly awesome tools and resources related to the use of machine learning for cybersecurity.

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
This is a fairly faithful reimplementation of the system described in the Alpha Go Zero paper "Mastering the Game of Go without Human Knowledge". For all intents and purposes, it is an open source AlphaGo Zero.

Can I get a job as a Data scientist after doing the John Hopkins (10 courses) Data Science specialization from Coursera?
You can read this answer from Scott Breunig, Data Scientist at Snapdocs.

Recent AI, Big Data, Deep Learning, Machine Learning Info Digest 2017/08/04

The future of deep learning
This post is adapted from Section 3 of Chapter 9 of  Francois Chollet's book, Deep Learning with Python (Manning Publications). It is part of a series of two posts on the current limitations of deep learning, and its future. You can read the first part here: The Limitations of Deep Learning.

What's Next For Deep Learning?
Answer by Ian Goodfellow, AI Research Scientist at Google Brain, on Quora: There are a lot of things that are next for deep learning. Instead of thinking of moving forward in one direction, think of expanding outward in many directions.

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks
The authors present a framework for specifying, training, evaluating, and deploying machine learning models. Our focus is on simplifying cutting edge machine learning for practitioners in order to bring such technologies into production. 

Nvidia uses AI to create 3D graphics better than human artists can
Nvidia’s researchers have created a way for AI to create realistic human facial animations in a fraction of the time it takes human artists to do the same thing.

Cutting Edge Deep Learning for Coders—Launching Deep Learning Part 2
These 15 hours of lessons take you from part 1’s best practices, all the way to cutting edge research. 

Recent AI, Big Data and Machine Learning Info Digest 2017/04/23

Top 5 reasons Why Enterprises Should Embrace Big Data

Architecture of Giants: Data Stacks at Facebook, Netflix, Airbnb, and Pinterest

Google Enlists AI and Community Development to Win the Cloud Wars

A visual proof that neural nets can compute any function

What are the best deep/machine learning journals to follow?

Non-intrusive Blood Glucose Monitor by Multi-task Deep Learning

Deep Learning and Machine Learning Differences: Recent Views in an Ongoing Debate

Recent AI, Big Data and Machine Learning Info Digest 2017/04/02

RBC Innovation & Entrepreneurship Speaker Series with Geoffrey Hinton

Matroid can watch videos and detect anything within them

Google AI Secretly Uploaded to the Internet, Where it Wreaked Havoc on Gamers

What are the largest inefficiencies in a data scientist’s workflow?

Big brands sign on with government-backed AI institute

Canada’s AI Moment

Elon Musk launches Neuralink, a venture to merge the human brain with AI

Canada’s Future Bets on AI

What are Andrew Ng's most notable contributions in the field of artificial intelligence?

Try Deep Learning in Python now with a fully pre-configured VM

Recent AI, Big Data and Machine Learning Info Digest 2017/03/12

The Anatomy of Deep Learning Frameworks

On the Origin of Deep Learning

Linear algebra cheat sheet for deep learning

Kaggle Joins Google Cloud

Five AI Startup Predictions for 2017

Why does the convolutional neural network have higher accuracy, precision, and recall rather than other methods like SVM, KNN, and Random Forest?

How neural networks work

Reproducible Data Analysis in Jupyter

CS 20SI: Tensorflow for Deep Learning Research

Recent AI, Big Data and Machine Learning Info Digest 2017/02/26

45 Questions to test a data scientist on basics of Deep Learning (along with solution)

5 More Deep Learning Applications a beginner can build in minutes (using Python)

What do experienced data scientists know that beginner data scientists don't know?

Bloomberg Adds Machine-Learning To Apache Solr Search

Algorithms' Dark Side: Embedding Bias into Code

Inside Facebook's AI Machine

Google Spreadsheets and Python

Awesome - Most Cited Deep Learning Papers

Recent Big Data and Machine Learning Info Digest 2017/02/12

Before you build another machine-learning startup, read this

Revolution AI: Why everyone wants in to Montreal’s deep-learning hub

Cutting through the hype: The real benefits of machine learning

Quora Answers by Monica Rogati (Data Science advisor. Former VP of Data @Jawbone & LinkedIn data scientist.)

Kick back and watch our AI learn to play Atari games in real-time

5 Ways Your Team Can Take Advantage of Big Data

Using Machine Learning to predict parking difficulty

Data Exploration with Python, Part 1

Data Exploration with Python, Part 2

Machine Learning Crash Course: Part 3

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

Recent Big Data and Machine Learning Info Digest 2016/10/01

What are the major bottlenecks in making deep learning systems more effective (as of 2016)?

A Neural Network for Machine Translation, at Production Scale

Amazon's new GPU-cloud wants to chew through your AI and big data projects

Sentimental Analysis of the First Presidential Debate of 2016 Using Machine Learning

A Beginner's Guide to Apache Flink – 12 Key Terms, Explained

Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Video Understanding Research

Recent Big Data and Machine Learning Info Digest 2016/09/23

Data Science: A Kaggle Walkthrough – Creating a Model

Deep Learning in a Nutshell: Reinforcement Learning

Why do deep neural nets require so much training data to perform well?

6 Startups Using AI for Algorithmic Trading Strategies

Ten Myths About Machine Learning

How Hillary's Campaign Is (Almost Certainly) Using Big Data

Recent Big Data and Machine Learning Info Digest 2016/05/15

Benchmarking 20 Machine Learning Models Accuracy and Speed

'Big Data' Is No Longer Enough: It's Now All About 'Fast Data'

What should I learn in data science in 100 hours?

Preview of Apache Spark 2.0 now on Databricks Community Edition

Recent Big Data and Machine Learning Info Digest 2016/04/29

Learning Python For Data Science

How do I prepare myself for a "Big Data" interview/job when I have no knowledge about it?

Big Data: Will We Soon No Longer Need Data Scientists?

Top 10 IPython Notebook Tutorials for Data Science and Machine Learning

Recent Big Data and Machine Learning Info Digest 2016/04/07

Google Brain’s Quoc Le speaks about Deep learning’s progress and its future

Singular Expertise Only Gets You So Far with Big Data

Chief Scientist At 1-Page Reveals How To Get Started In Machine Learning

The big data market

Recent Big Data and Machine Learning Info Digest 2016/03/08

How IBM Is Hoping To Close The Massive Big Data And Analytics Skills Gap

House Hunting with Watson Analytics

21 Scary Things Big Data Knows About You

How do I become a data scientist without a PhD?

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