Deep Learning lecture
The full deck of (600+) slides, by Professor Gilles Louppe. PDF file available here:

Deep Learning lecture

Boom! What to read on the weekend, Issue #60

Exploring data to form better questions
http://bit.ly/2XBdTXH

AI is helping old video games look like new
http://bit.ly/2IClMsq

How to Train Your OpenAI Five
http://bit.ly/2XBdW5P

What Machine Learning needs from Hardware
http://bit.ly/2IAupnw

Why a data scientist is not a data engineer
https://oreil.ly/2IvjhrK

The Coming AI Autumn
http://bit.ly/2XAekBl

Artificial Intelligence for Pharmaceutical Research and Development
http://bit.ly/2IyM7rl

How to create your own R package with RStudio
http://bit.ly/2IyMuSL

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
http://bit.ly/2XyOiyE

Training Deep Convolutional GANs to generate Anime Characters
http://bit.ly/2Iy5Pn6

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Boom! Weekly selection from DSB. Issue #51
The TOP 10 most popular links for the week

1. 10 free Data Science books you must read
http://bit.ly/2XxpgQm

2. Curated list of Python resources for data science.
http://bit.ly/2IxFXI7

3. How Algorithms Know What You’ll Type Next
http://bit.ly/2IxVRlx

4. 8 Useful R Packages for Data Science You Aren’t Using (But Should!)
http://bit.ly/2Ix6VPV

5. Google’s Best AI Just Flunked a High School Math Test
http://bit.ly/2XyqGdg

6. AI developed a whole new sport
https://engt.co/2XC46AJ

7. Forecasting: Principles and Practice
http://bit.ly/2IxTIGv

8. A simple introduction to the basics of data science
http://bit.ly/2ICj3PI

9. One Model to Rule Them All
http://bit.ly/2IEr5Yz

10. Timeline of Mathematics
http://bit.ly/2IEmDsP

Machine Learning Workflows

Pretty articel about how machine learning / AI works in the organization.

Link: https://skymind.ai/wiki/machine-learning-workflow

#management #production #workflow

How your data scientists become bottlenecked
http://bit.ly/2XVLD2e

MuseNet
http://bit.ly/2GSNJu3

AI Dungeon - AI generated text adventure that uses deep learning
http://bit.ly/2XVJMtY

I found two identical packs of Skittles, among 468 packs with a total of 27,740 Skittles
http://bit.ly/2GVLvKx

A Recipe for Training Neural Networks
http://bit.ly/2XTkahx

AI won’t destroy us, it’ll make us smarter
http://bit.ly/2GRuHE6

Notes on AI Bias
http://bit.ly/2GSh080

Spring 2019 Full Stack Deep Learning Bootcamp
http://bit.ly/2GShmvm

Predicting Movie Genres using NLP
http://bit.ly/2GSijnq

R Graphics Cookbook, 2nd edition
http://bit.ly/2GShY48

Boom! Monthly selection from DSB. Issue #12
The TOP 10 most popular links for the month (April 2019)

1. Top 10 Coding Mistakes Made by Data Scientists
http://bit.ly/2WWLc77

2. How to Learn Data Science for Free
http://bit.ly/2IdtNTB

3. 10 free Data Science books you must read
http://bit.ly/2XxpgQm

4. The Data Science Career Guide
http://bit.ly/2I5ew8d

5. Here's who will die on 'Game of Thrones' according to AI
http://bit.ly/2IjaKIm

6. AI disaster won’t look like the Terminator. It’ll be creepier.
http://bit.ly/2WNjR7c

7. Top 15 Data Science Podcasts Worth Listening To
http://bit.ly/2I19tFU

8. Mathematicians Discover the Perfect Way to Multiply
http://bit.ly/2XaL8AM

9. Another 10 Free Must-See Courses for Machine Learning and Data Science
http://bit.ly/2X5kTfc

10. Another all cheat-sheets in one place
http://bit.ly/2Il6eZO

I highly recommend the Cornell University's "Machine Learning for Intelligent Systems (CS4780/ CS5780)" course taught by Associate Professor Kilian Q. Weinberger.

How I Built Animated Plots in R to Analyze my Fitness Data
http://bit.ly/2VIVJFY

Hamiltonian Monte Carlo from scratch
http://bit.ly/2LcDNQ6

2019 Best Masters in Data Science and Analytics – Europe Edition
http://bit.ly/2VIWf6S

Artificial intelligence should get the same ethical protections as animals
http://bit.ly/2LgYGtm

AI in the enterprise: 8 myths, debunked
https://red.ht/2Li67AR

Boom! Weekly selection from DSB. Issue #52
The TOP 10 most popular links for the week

1. How I Built Animated Plots in R to Analyze my Fitness Data
http://bit.ly/2VIVJFY

2. 3 Awesome Visualization Techniques for every dataset
http://bit.ly/2VKvi2W

3. Is AI taking over Military?
http://bit.ly/2LsUKGm

4. 2019 Best Masters in Data Science and Analytics – Europe Edition
http://bit.ly/2VIWf6S

5. This Meme Does Not Exist
http://bit.ly/2VJImFC

6. How your data scientists become bottlenecked
http://bit.ly/2XVLD2e

7. Spring 2019 Full Stack Deep Learning Bootcamp
http://bit.ly/2GShmvm

8. AI-Based Fraud Detection in Banking – Current Applications and Trends
http://bit.ly/2LsUU0q

9. AI Dungeon - AI generated text adventure that uses deep learning
http://bit.ly/2XVJMtY

10. A Recipe for Training Neural Networks
http://bit.ly/2XTkahx

Self Studying the MIT Applied Math Curriculum
http://bit.ly/2LqulZG

Top Data Science and Machine Learning Methods Used in 2018, 2019
http://bit.ly/2VLxjMc

Facebook open-sources Ax and BoTorch to simplify AI model optimization
https://tcrn.ch/2VT6upD

How to Create a Project Portfolio for Data Science Job Applications
http://bit.ly/2LlwLIN

How many Gigatons of Carbon Dioxide...?
http://bit.ly/2LoVV9K

This AI generates ultra-realistic fashion models from head to toe
http://bit.ly/2LMRu8X

When People Find a New Job
http://bit.ly/2VVGdH0

The Darker Side of AI
http://bit.ly/2LAY3eo

The Complete Guide to Decision Trees
http://bit.ly/2VOVWYx

Data Visualization: from Non-Coder to Coder
http://bit.ly/2LxtTIZ

Boom! What to read on the weekend, Issue #62

Satellite data and AI help fight Sweden's forest fires
http://bit.ly/2VTmCY5

How AI Is Revolutionizing Healthcare
http://bit.ly/2LCaIOr

Pandas DataFrame indexing
http://bit.ly/2W3Ydzf

Harvard AI determines when tuberculosis becomes resistant to common drugs
http://bit.ly/2VUN6bv

Explainer: what is quantum machine learning and how can it help us?
http://bit.ly/2LDwVeS

Jupyter Notebook for Beginners: A Tutorial
http://bit.ly/2LKEyjw

Visualize 4.51B Video Games Sold
https://tabsoft.co/2W3YVwp

A tutorial on Bayesian optimization in R
http://bit.ly/2VXGDwy

AI for Molecular Design
https://on.wsj.com/2VWet56

Real or artificial? Tech titans declare AI ethics concerns
http://bit.ly/2LAMmUY

‘Game change’: S. Korea to create robots resembling humans & animals for future wars https://www.rt.com/news/459101-human-animal-military-robots/

Data Scientists Versus Statisticians
http://bit.ly/2W2Np40

Artist Holly Herndon releases an album featuring an artificial intelligence ‘musician’
http://bit.ly/2W2NIfa

A Practical Introduction to Prescriptive Analytics (with Case Study in R)
http://bit.ly/2LRKDer

The 3 Biggest Mistakes on Learning Data Science
http://bit.ly/2W2azHV

Regulation of AI as a Means to Power
http://bit.ly/2W2aBQ3

Boom! What to read on the weekend, Issue #63

Leading your organization to responsible AI
https://mck.co/2LGCaui

Smarter training of neural networks
http://bit.ly/2VUe1V5

Progress Toward Safe and Reliable AI
https://stanford.io/2LF51iJ

9 Common Mistakes That Lead To Data Bias
http://bit.ly/2VUejLF

The Lifecycle of Data
http://bit.ly/2VUetCL

Artificial Intelligence as a Godlike Tool for Experimentation
http://bit.ly/2LA2aax

Hiring A Data Scientist: The Good, The Bad And The Ugly
http://bit.ly/2W2BYJG

What Is Artificial Intelligence (AI)?
http://bit.ly/2LEou34

single-parameter-fit: Real numbers, data science and chaos: How to fit any dataset with a single parameter
http://bit.ly/2LF55it

Naive Bayes: A Baseline Model for Machine Learning Classification Performance
http://bit.ly/2LRKMhZ

State of AI in the Enterprise, 2nd Edition (pdf)
http://bit.ly/2LUMX4g

Artificial Intelligence in the Chinese Military – Current Initiatives
http://bit.ly/2WfNQYZ

Best Practices for ML Engineering
http://bit.ly/2LUyHZ2

Linux for Data Scientists, Part 1
http://bit.ly/2LULs66

Fathoming the Deep in Deep Learning – A Practical Approach
http://bit.ly/2W7RYKE