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

Google AI engineers introduce Translatotron, an end-to-end speech-to-speech translation model
http://bit.ly/2Wg057V

Going Critical - Interactive explainer for how disease and ideas spread through a network
http://bit.ly/2LRqLb6

Federated Learning (An online comic from Google AI)
http://bit.ly/2Wb2f8R

The Complete Guide to Decision Trees (part 1)
http://bit.ly/2LS7MgD

Matrices as Tensor Network Diagrams
http://bit.ly/2LQFfrI

Samsung AI's latest work on #GAN to animate realistic head model sequences is setting the internet on fire

Paper👇:

https://arxiv.org/pdf/1905.08233.pdf

Youtube video👇:

https://www.youtube.com/watch?v=p1b5aiTrGzY&feature=youtu.be&fbclid=IwAR2Z1DgoIh_SdTuweiylm4L1aZpdSo8LV9v32XdivMcc3Q02mr7Qz1yUfwg

Meet the world’s first AI-created whisky
http://bit.ly/2LTwa1t

What can Artificial Intelligence do for the Aviation industry
http://bit.ly/2WfRDpb

Initializing neural networks
http://bit.ly/2Wd3pR8

A Beginner’s Guide to Tidyverse – The Most Powerful Collection of R Packages for Data Science
http://bit.ly/2W8btCT

Railyard: how we rapidly train machine learning models with Kubernetes
http://bit.ly/2Wg27VB

​​Head animation from single shot by #SamsungAI team

Samsung researchers have released a model that can generate faces in new poses from just a single image/frame (for each of face, pose). Done by building a well-trained landmark model in advance & one-shotting from that, using keypoints, adaptive instance norms and GANs. Model performs no 3D face modelling!

ArXiV: https://arxiv.org/abs/1905.08233v1
Youtube: https://www.youtube.com/watch?v=p1b5aiTrGzY

#GAN #CV #DL

Estimators, Loss Functions, Optimizers —Core of ML Algorithms

https://towardsdatascience.com/estimators-loss-functions-optimizers-core-of-ml-algorithms-d603f6b0161a]

Boom! What to read on the weekend, Issue #64

Hypergiant uses satellites and AI to mine oil and gas data
http://bit.ly/2LTmMec

Drowning in Research Reading? AI Could Help
http://bit.ly/2WcsRGy

Humanising automation: Understanding the five senses of artificial intelligence
http://bit.ly/2LUDx8Z

Who to Sue When a Robot Loses Your Fortune
https://bloom.bg/2WaslZH

Building a Scraper Using Browser Automation
http://bit.ly/2LVGbeD

What is the real difference between data science and software engineering teams?
http://bit.ly/2Wb9IVh

Artificial Intelligence Needs Data Diversity
http://bit.ly/2Wba7qL

A New Interpretation of Probability
http://bit.ly/2M4glFo

Machine Learning in Agriculture: Applications and Techniques
http://bit.ly/2M4LVCy

25 Excellent Machine Learning Open Datasets
http://bit.ly/2LXnS8E

Boom! Weekly selection from DSB. Issue #55
The TOP 10 most popular links for the week

1. What`s next in AI? Artificial Intelligence Trends (pdf)
http://bit.ly/2W81QUN

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

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

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

5. 7 Steps to Mastering SQL for Data Science
http://bit.ly/2LQFWBk

6. The Complete Guide to Decision Trees (part 1)
http://bit.ly/2LS7MgD

7. Use this cutting-edge AI text generator to write stories, poems, news articles, and more
http://bit.ly/2WfZRO7

8. Google AI engineers introduce Translatotron, an end-to-end speech-to-speech translation model
http://bit.ly/2Wg057V

9. Meet the world’s first AI-created whisky
http://bit.ly/2LTwa1t

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

illustrated Artificial Intelligence cheatsheets covering the content of the CS 221 class

Link: https://stanford.edu/~shervine/teaching/cs-221/
Reflex-based models with Machine Learning: https://stanford.edu/~shervine/teaching/cs-221/cheatsheet-reflex-models

​​Recovering person appereance from person’s speech

As the result of the research, much resembling facial image of a person reconstructed from short audio recording of that person speaking.

ArXiV: https://arxiv.org/pdf/1905.09773v1.pdf

#speech #audiolearning #CV #DL #face