Recent AI, Big Data, Deep Learning, Machine Learning Info Digest 2017/09/08

Scientists Use Artificial Intelligence To Spot Alzheimer's Before Onset of Symptoms
Scientists from the Douglas Mental Health University Institute’s Translational Neuroimaging Laboratory at McGill have developed an algorithm that reliably detects signs of dementia before its onset. The technology could be used to help families prepare for treatment options, and to help researchers select better candidates for clinical trials that test drug effectiveness.

Facebook creates AI that negotiates in unknown new language
Facebook AI Research (FAIR) has been working on artificial intelligence (AI) agents that negotiate for the best deal, using all the complexities of language, reasoning, and deception that humans use.

The Seven Deadly Sins of Predicting the Future of AI
Predicting the future is really hard, especially ahead of time.

What machines can tell from your face
Life in the age of facial recognition. Technology is rapidly catching up with the human ability to read faces. In America facial recognition is used by churches to track worshippers’ attendance; in Britain, by retailers to spot past shoplifters. This year Welsh police used it to arrest a suspect outside a football game. In China it verifies the identities of ride-hailing drivers, permits tourists to enter attractions and lets people pay for things with a smile. Apple’s new iPhone is expected to use it to unlock the homescreen. 

Python overtakes R, becomes the leader in Data Science, Machine Learning platforms
While in 2016 Python was in 2nd place ("Mainly Python" had 34% share vs 42% for "Mainly R"), in 2017 Python had 41% vs 36% for R. 

Object detection: an overview in the age of Deep Learning
There’s no shortage of interesting problems in computer vision, from simple image classification to 3D-pose estimation. One of the problems we’re most interested in and have worked on a bunch is object detection. 

Background removal with deep learning
Background removal is a task that is quite easy to do manually, or semi manually (Photoshop, and even Power Point has such tools) if you use some kind of a “marker” and edge detection.  However, fully automated background removal is quite a challenging task.

Recent AI, Big Data and Machine Learning Info Digest 2017/06/25

Deep Learning Papers Reading Roadmap
The roadmap is constructed in accordance with the following four guidelines:

• from outline to detail
• from old to state-of-the-art
• from generic to specific areas
• focus on state-of-the-art

Uber’s head of deep learning shares his top AI business tips

In the opening keynote of the Big Data Toronto conference, however, Luming Wang of Uber Technologies Inc. said companies should aim their earliest AI efforts at assisting employees so they can do their jobs better.

Foundations for deep learning

Collection of resources for building a foundation in deep learning.

Hands-On Machine Learning - Jupyter Notebook Collection

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

The $1700 great Deep Learning box: Assembly, setup and benchmarks

Building a desktop after a decade of MacBook Airs and cloud servers

Applying deep learning to real-world problems

In this blog post, the author shares three key learnings  when applying deep learning to real-world problems:

• Learning I: the value of pre-training
• Learning II: caveats of real-world label distributions
• Learning III: understanding black box models

Recent AI, Big Data and Machine Learning Info Digest 2017/03/05

The Black Magic of Deep Learning - Tips and Tricks for the practitioner

How is Deep Learning Changing Data Science Paradigms?

GPUs are now available for Google Compute Engine and Cloud Machine Learning

Bare bones Python implementations of some of the foundational Machine Learning models and algorithms

How to start a Data Science project in Python

Pandas Cheat Sheet - Python for Data Science

Artificial intelligence: Understanding how machines learn

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 2017/02/05

Reimagining the Construction Industry (indus.ai)

CEOs Not Seeing Big Picture On 'Big Data'

Scikit-learn tutorial: statistical-learning for sientific data processing

Will You Graduate? Ask Big Data

How to get your first job in Data Science?

What is a GPU and Why Do I Care? A Businessperson's Guide

Deep Learning on Databricks - Integrating with TensorFlow, Caffe, MXNet, and Theano

Recent Big Data and Machine Learning Info Digest 2017/01/28

Deep Reinforcement Learning: An Overview

In-Depth on Udacity’s Self-Driving Car Curriculum

The Rise of the Data Engineer

6 areas of AI and machine learning to watch closely

41 Essential Machine Learning Interview Questions (with answers)

4 Steps To Learn TensorFlow When You Already Know scikit-learn

7 Steps to Mastering Machine Learning With Python

Introduction to Apache Spark with Examples and Use Cases

19 Data Science Tools for people who aren’t so good at Programming

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 2016/12/18

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

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

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

Recent Big Data and Machine Learning Info Digest 2016/10/29

Pandas Tutorial: Data analysis with Python: Part 1

Big Data Processing with Apache Spark – Part 1: Introduction

IBM announced new Watson Data Platform

Digital Disruption In Banking

Big data architectures face big hurdles with technology integration

Recent Big Data and Machine Learning Info Digest 2016/10/14

Deep Reinforcement Learning: Pong from Pixels

Data Mining in Python: A Guide

Top-down learning path: Machine Learning for Software Engineers

Can we open the black box of AI?

Gartner Survey Reveals Investment in Big Data Is Up but Fewer Organizations Plan to Invest

The broken promise of open-source Big Data software – and what might fix it

Recent Big Data and Machine Learning Info Digest 2016/09/02

The Simple, Elegant Algorithm That Makes Google Maps Possible

Baidu open-sources Python-driven machine learning framework

How a Japanese cucumber farmer is using deep learning and TensorFlow

Kafka in Action: 7 Steps to Real-Time Streaming From RDBMS to Hadoop

Data Ebook Archive

Recent Big Data and Machine Learning Info Digest 2016/06/25

Spark Makes Inroads into NoSQL Ecosystem

RPy2: Combining the Power of R + Python for Data Science

Deep Learning for Recommender Systems - Budapest RecSys Meetup

FOR DATA WORK, “IT’S ACTUALLY PRETTY HARD TO ARGUE *AGAINST* USING PYTHON”

A poet does TensorFlow

Hello, TensorFlow!

Data Mining Reveals the Crucial Factors That Determine When People Make Blunders

Recent Big Data and Machine Learning Info Digest 2016/05/27

The real prerequisite for machine learning isn’t math, it’s data analysis

What is a resilient distributed dataset?

Microsoft HDInsight Recognized as a Leader in Forrester BigData Hadoop Cloud Wave

Learning Path for Developers & IT Professionals to become a Data Scientist

Easier data analysis in Python with pandas (video series)

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 2016/04/11

Data in the emerging world of stream processing

13 Machine Learning & Data Science Startups from Y Combinator Winter 2016

Doing Data Science Right — Your Most Common Questions Answered

THE YEAR DATA STREAMING BECOMES MAINSTREAM

A Complete Tutorial to learn Data Science in R from Scratch

A Complete Tutorial to Learn Data Science with Python from Scratch

Recent Big Data and Machine Learning Info Digest 2016/01/13

Michael Stonebraker: Big Data is (at least) Four Different Problems

• Stonebraker on "SQL Databases v. NoSQL Databases"
• Stonebraker on "NoSQL and Enterprises"
• Stonebraker on "mapReduce and Parallel DBmss"

10 More lessons learned from building real-life Machine Learning systems — Part I

Artificial Intelligence: Can Watson Save IBM?

Algorithms can predict how students will answer questions, and even explain why they would get questions wrong [paper]

Epic visualizations from FlowingData in 2015

Benchmarking streaming computation engines at Yahoo!

The untapped potential of health care APIs 

Microsoft researchers win Imagenet computer vision challenge

Learn python overtakes learn java

Data scientists keep forgetting the one rule every researcher should know by heart


Thanks Shaohua for above information sharing.