Machine learning can boost the value of wind energy
http://bit.ly/2EKWIfH

Kids’ brains may hold the secret to building better AI
http://bit.ly/2VyXKku

We have stumbled into the era of machine psychology
http://bit.ly/2VvU5DX

MIT's introductory course on deep learning methods and applications.
http://bit.ly/2ELDnuZ

Game of Thrones in Words
https://tabsoft.co/2VAY1n3

The military wants to build a bullshit detector for social science studies
http://bit.ly/2EJqJwt

Humanity + AI: Better Together
http://bit.ly/2VxKpsA

Seven Myths in Machine Learning Research
http://bit.ly/2VBwbaq

Interpretable Machine Learning. A Guide for Making Black Box Models Explainable. Book by Christoph Molnar
http://bit.ly/2EIXWrL

Various views of variability
http://bit.ly/2EJGnaU

#Google has open-sourced #FederatedLearning code

Step-by-step #tutorial showing how to perform Federated Learning using the same infrastructure Google
uses on 10s of millions of smartphones.

Link: https://medium.com/tensorflow/introducing-tensorflow-federated-a4147aa20041

Web data scraping with Python by Brian Keegan University of Colorado, 2019.
Enjoy scraping web with detailed tutorial

​​Brilliant thread on ROC curve usage

ROC curve is used to measure how good is the discrimination between two distributions. This is a nice thread to refresh your memory, or to finally understand how ROCAUC works.

Link: https://threadreaderapp.com/thread/1104134423673479169.html
An introduction to prediction research: http://www.cecilejanssens.org/wp-content/uploads/2018/01/PredictionManual2.0.pdf

#ROC #AUC

Lessons learned building natural language processing systems in health care

It’s suprising, but #NLP in #healthcare doesn’t work the same way, as a researcher might expect, because of semantic.
Lesson #1: Off-the-shelf NLP models don’t work
Lesson #2: Build trainable NLP pipelines
Lesson #3: Start with labeling ground truth

Link: https://www.oreilly.com/ideas/lessons-learned-building-natural-language-processing-systems-in-health-care

​​Website using Deep Learning to colorize pictures.

Link: https://colourise.sg/#colorize

#DL #CV #demo

Boom! What to read on the weekend, Issue #53

Humor is both a hurdle and a gauge to improve AI, human interaction
http://bit.ly/2EJtca1

How to Choose the Right Chart Type [Infographic]
http://bit.ly/2EJPI2A

Will Artificial Intelligence Form a Singleton or Will There Be Many AGI Agents? – An AI Researcher Consensus
http://bit.ly/2EJGCCQ

Half a million x-rays! First impressions of the Stanford and MIT chest x-ray datasets
http://bit.ly/2EI95sL

CS294-158 Deep Unsupervised Learning Spring 2019
http://bit.ly/2VyMtRm

7 Steps to crack your first Data Science Internship (Tips, Tricks and Resources!)
http://bit.ly/2EIJoZk

Here’s who has the most juice in Twitter’s AI influencer community
http://bit.ly/2VtxibO

The 2019 Data Science Dictionary – Key Terms You Need to Know
http://bit.ly/2VFcMp5

TensorFlow Conv2D Layers: A Practical Guide
http://bit.ly/2VvJ3yA

Map of bus routes in Singapore stacked one on top of the other
http://bit.ly/2VCrkpp

Boom! Weekly selection from DSB. Issue #44
The TOP 10 most popular links for the week

1. Best Deep Learning Books: Updated for 2019
http://bit.ly/2EHy2oc

2. Game of Thrones in Words
https://tabsoft.co/2VAY1n3

3. A Data Cleaner`s Cookbook
http://bit.ly/2EKyi60

4. MIT's introductory course on deep learning methods and applications.
http://bit.ly/2ELDnuZ

5. The military wants to build a bullshit detector for social science studies
http://bit.ly/2EJqJwt

6. We have stumbled into the era of machine psychology
http://bit.ly/2VvU5DX

7. Interpretable Machine Learning. A Guide for Making Black Box Models Explainable. Book by Christoph Molnar
http://bit.ly/2EIXWrL

8. China’s Tech Firms Are Mapping Pig Faces
https://nyti.ms/2VAbfAy

9. Machine learning can boost the value of wind energy
http://bit.ly/2EKWIfH

10. General Assembly's Data Science course in Washington DC
http://bit.ly/2VxZWIT

A new tool from Google and OpenAI lets us better see through the eyes of artificial intelligence
http://bit.ly/2NYtInO

The best of ML. 40 of the best resources for Machine Learning
http://bit.ly/2NS1Z8h

Machine Learning for Beginners: An Introduction to Neural Networks
http://bit.ly/2NTbwvC

Modern Deep Learning Techniques Applied to Natural Language Processing
http://bit.ly/2F1jY9k

AlphaStar: Mastering the Real-Time Strategy Game StarCraft
http://bit.ly/2F2megB

IBM Cognitive classes is one way to learn Data Science and Machine Learning, and it is absolutely FREE.

*DON'T SKIP THE LAB EXERCISE., IT IS HELPFUL*

This is the Learning Path

1)Introduction to Data Science
(https://lnkd.in/fF79bEj)

2)Data Science Tools
(https://lnkd.in/fYf2ZC8)

3)Data Science Methodology
(https://lnkd.in/fY6Kwqd)

4)Statistics 101
(https://lnkd.in/fpgJf7D)

5)Predictive Modeling Fundamentals I
(https://lnkd.in/f9_Y7UZ)

6)Python for Data Science
(https://lnkd.in/fy8E2wH)

7)Data Analysis with Python
(https://lnkd.in/fRQWByd)

😎Data Visualization with Python
(https://lnkd.in/fFu93ME)

9)Machine Learning with Python
(https://lnkd.in/f_7r534)

10)Deep Learning Fundamentals
(https://lnkd.in/fNvPvix)

11)Deep Learning with TensorFlow
(https://lnkd.in/ftfRtvQ)

#datavisualization #deeplearning #datascience #python #predictivemodeling #machinelearning

this is a good tutorial playlist
https://www.youtube.com/watch?v=OGxgnH8y2NM&list=PLQVvvaa0QuDfKTOs3Keq_kaG2P55YRn5v

Close to half of startups jump on the AI bandwagon without the tech
https://zd.net/2F5I0ju

Neural MMO — A Massively Multiagent Game Environment
http://bit.ly/2F6h4QL

Artificial Intelligence at NASA – Current Projects and Applications
http://bit.ly/2NWP2Kk

Feature Engineering and Selection: A Practical Approach for Predictive Models. Book by Max Kuhn and Kjell Johnson
http://bit.ly/2NYvoO2

Virginia Beach City Council Goal Measures based on Open Data
http://bit.ly/2F4Ng6W

Interpretable Machine Learning
"A Guide for Making Black Box Models Explainable" by Christoph Molnar

Deepmind teaches AI to follow navigational directions like humans
http://bit.ly/2NXtOMc

You created a machine learning application. Now make sure it’s secure.
https://oreil.ly/2O0yIZ9

A Conversation about Tech Ethics with the New York Times Chief Data Scientist
http://bit.ly/2NZBmxZ

Tutorial: Poisson Regression in R
http://bit.ly/2F7QOFv

A Data-Driven Tribute to Captain Marvel
https://tabsoft.co/2F7pl76

AI Interprets What Rodents Are Saying
http://bit.ly/2O44Mes

LazyNLP for Creating Massive Text Datasets
http://bit.ly/2O3aKfN

How Artificial Intelligence Is Changing Science
http://bit.ly/2FcetF2

3 Levels of Deep Learning Competence
http://bit.ly/2O4MeuJ

How many high school stars make it in the NBA?
http://bit.ly/2FdHlww