❇️ AI-fueled art : "Machine Hallucination" by Turkish artist Refik Anadol at ARTECHOUSE, NYC
🌍 https://www.artechouse.com
They're using deep learning, in particular NVIDIA's StyleGAN algorithm, to create those effects! Very cool!

❇️ Atlas uses its whole body -- legs, arms, torso -- to perform a sequence of dynamic maneuvers that form a gymnastic routine. We created the maneuvers using new techniques that streamline the development process. First, an optimization algorithm transforms high-level descriptions of each maneuver into dynamically-feasible reference motions. Then Atlas tracks the motions using a model predictive controller that smoothly blends from one maneuver to the next. Using this approach, we developed the routine significantly faster than previous Atlas routines, with a performance success rate of about 80%. For more information visit us at
🌍 https://www.BostonDynamics.com
🌍 https://www.youtube.com/watch?v=_sBBaNYex3E

#ai_remote_job

💎 Machine Intelligence Engineer at BeProp.io
💠 Remote, Europe, Sept. 18, 2019
💰 $100,000 - $140,000 / yr

🌍https://angel.co/company/beprop/jobs/524029-machine-intelligence-engineer

❇️ گروه تلگرام "یادگیری ماشین در علم"
❇️ https://t.iss.one/ml_in_science1
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💠 گروه لینکداین کانال “Ai & BigData"
با همکاری :

⬅️ احسان امجدیان، دانشمند داده در بانک RBC کانادا
⬅️ شورش شافعی دانشمند داده در Google

💠 https://www.linkedin.com/groups/8721739/
------------------------------------------------------------------------------------------------
🔶 گیت هاب کانال "یادگیری ماشین در علم"
🔶 https://github.com/ml-in-science

@ml_in_science

❇️ Press release: The Nobel Prize in Physics 2019:
https://www.nobelprize.org/prizes/physics/2019/press-release/

💠 Illustrations:

🔶 Background radiation
https://www.nobelprize.org/uploads/2019/10/fig2_fy_en_backgroundradiation.pdf

🔶 Star chart
https://www.nobelprize.org/uploads/2019/10/fig3_fy_en_starChart.pdf

🔶 Radial velocity method
https://www.nobelprize.org/uploads/2019/10/fig4_fy_en_radialvelocitymethod.pdf

🔶 Transit photometry
https://www.nobelprize.org/uploads/2019/10/fig5_fy_en_transitPhotometry.pdf

🔶 Milky Way
https://www.nobelprize.org/uploads/2019/10/fig6_fy_en_milkyWay.pdf

‍‍ ‍‍ ‍‍ ‍‍ 💎 Best of Towards Data Science - No.1 💎

Creating a Weapon Detector in 5 simple steps
Object detection using mask-RCNN on custom dataset
Rahul Agarwal 7 min read
—————————————————————————
Build an Artificial Neural Network(ANN) from scratch:
Part-1
This article focused on building an Artificial Neural Network using
numpy python library.
Nagesh Singh Chauhan 11 min read
—————————————————————————
How to Create an Amazing Data Science Portfolio
To showcase your work and stand out
Tyler Folkman 5 min read
—————————————————————————
Feature Extraction Techniques
An end to end guide on how to reduce a dataset dimensionality using
Feature Extraction Techniques such as: PCA, ICA, LDA, LLE, t-SNE
and…
Pier Paolo Ippolito 11 min read
—————————————————————————
Trading Toolbox
Python Trading Toolbox: Weighted and Exponential Moving Averages
Stefano Basurto 9 min read
—————————————————————————
How I Learned Data Science And The 1 Course That
Changed Everything
If you don’t know where to start
Oscar Kwok 7 min read
—————————————————————————
Unboxing machine learning: feature importance for
black-box models
Because life is better when we understand things
Gonzalo Ferreiro Volpi 5 min read
—————————————————————————
Deeper into Deep Neural Networks
Deep Neural Network - Artificial Intelligence
Ashagoyaleduonix 14 min read
—————————————————————————
Why I’m Taking a Machine Learning Class After
Spending Months as a Data…
You would think 480 hours would be enough for me.
Taylor Fogarty 3 min read
—————————————————————————
How Exactly UMAP Works
And why exactly it is better than tSNE
Nikolay Oskolkov 16 min read
—————————————————————————
My Shortlist of AI & ML Stuff: Books, Courses and
More
Never stop learning new things…
Oleksii Kharkovyna 9 min read
—————————————————————————
Time Series Analysis with Deep Learning : Simplified
Take the crash course in the ‘whys’ and ‘whens’ of using Deep
Learning in Time Series Analysis.
Prakhar Ganesh 5 min read
—————————————————————————
How Many Samples Do I Need in My Test?
What you need to know to calculate a minimum test size for a binomial
test — and how to calculate it
Marguerite Siboni 6 min read
—————————————————————————
How to Use Convolutional Neural Networks for Time
Series Classification
A gentle introduction, state-of-the-art model overview, and a hands-on
example.
Margarita Granat 7 min read
—————————————————————————
How to build your career in Artificial Intelligence?
Build your own Roadmap to get into AI
Ankit Rathi 6 min read
—————————————————————————
Simple Linear Regression From Scratch in Numpy
Machine Learning doesn’t have to be complex — if explained in simple
terms.
Dario Radečić 5 min read
—————————————————————————
Predicting Food Serving Sizes with a Feed-Forward
Neural Network
Applying data science and machine learning to the food industry R&D
process
Jeremy Ondov 9 min read
—————————————————————————
How a Neural network found a loophole in my game?
Evolved an AI to play a game, but it chose to mock it!
Siddharth Maurya 13 min read
—————————————————————————
Get your computer ready for machine learning: How,
what and why you should use…
Anaconda? What are we playing? Snakes and ladders? No. We’re
getting ready our computer ready for machine learning.
Daniel Bourke 17 min read
—————————————————————————
5 reasons why everybody can and should learn Data
Science
Data Scientist is officially the sexiest job of the 21st century. Data
Scientists are well paid, have good work-life balance and problems…
Magdalena Konkiewicz 4 min read

❇️ GIT CHEAT SHEET
presented by TOWER › Version control with Git - made easy

👨‍🏫 Free course on Deep Reinforcement Learning for a limited time: https://www.udemy.com/course/deep-reinforcement-learning-a-hands-on-tutorial-in-python/?couponCode=OCTANS
Ends on Oct 16. Enroll now for free😀.

Key Ideas in Document Embedding; The problem with metrics is a big problem for AI