#ai_remote_job
π Machine Intelligence Engineer at BeProp.io
π Remote, Europe, Sept. 18, 2019
π° $100,000 - $140,000 / yr
πhttps://angel.co/company/beprop/jobs/524029-machine-intelligence-engineer
π Machine Intelligence Engineer at BeProp.io
π Remote, Europe, Sept. 18, 2019
π° $100,000 - $140,000 / yr
πhttps://angel.co/company/beprop/jobs/524029-machine-intelligence-engineer
βοΈ Ϊ―Ψ±ΩΩ ΨͺΩΪ―Ψ±Ψ§Ω
"ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ Ω
Ψ§Ψ΄ΫΩ Ψ―Ψ± ΨΉΩΩ
"
βοΈ https://t.iss.one/ml_in_science1
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π Ϊ―Ψ±ΩΩ ΩΫΩΪ©Ψ―Ψ§ΫΩ Ϊ©Ψ§ΩΨ§Ω βAi & BigData"
Ψ¨Ψ§ ΩΩ Ϊ©Ψ§Ψ±Ϋ :
β¬ οΈ Ψ§ΨΨ³Ψ§Ω Ψ§Ω Ψ¬Ψ―ΫΨ§ΩΨ Ψ―Ψ§ΩΨ΄Ω ΩΨ― Ψ―Ψ§Ψ―Ω Ψ―Ψ± Ψ¨Ψ§ΩΪ© RBC Ϊ©Ψ§ΩΨ§Ψ―Ψ§
β¬ οΈ Ψ΄ΩΨ±Ψ΄ Ψ΄Ψ§ΩΨΉΫ Ψ―Ψ§ΩΨ΄Ω ΩΨ― Ψ―Ψ§Ψ―Ω Ψ―Ψ± Google
π https://www.linkedin.com/groups/8721739/
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πΆ Ϊ―ΫΨͺ ΩΨ§Ψ¨ Ϊ©Ψ§ΩΨ§Ω "ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ Ω Ψ§Ψ΄ΫΩ Ψ―Ψ± ΨΉΩΩ "
πΆ https://github.com/ml-in-science
@ml_in_science
βοΈ https://t.iss.one/ml_in_science1
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π Ϊ―Ψ±ΩΩ ΩΫΩΪ©Ψ―Ψ§ΫΩ Ϊ©Ψ§ΩΨ§Ω βAi & BigData"
Ψ¨Ψ§ ΩΩ Ϊ©Ψ§Ψ±Ϋ :
β¬ οΈ Ψ§ΨΨ³Ψ§Ω Ψ§Ω Ψ¬Ψ―ΫΨ§ΩΨ Ψ―Ψ§ΩΨ΄Ω ΩΨ― Ψ―Ψ§Ψ―Ω Ψ―Ψ± Ψ¨Ψ§ΩΪ© RBC Ϊ©Ψ§ΩΨ§Ψ―Ψ§
β¬ οΈ Ψ΄ΩΨ±Ψ΄ Ψ΄Ψ§ΩΨΉΫ Ψ―Ψ§ΩΨ΄Ω ΩΨ― Ψ―Ψ§Ψ―Ω Ψ―Ψ± Google
π https://www.linkedin.com/groups/8721739/
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πΆ Ϊ―ΫΨͺ ΩΨ§Ψ¨ Ϊ©Ψ§ΩΨ§Ω "ΫΨ§Ψ―Ϊ―ΫΨ±Ϋ Ω Ψ§Ψ΄ΫΩ Ψ―Ψ± ΨΉΩΩ "
πΆ https://github.com/ml-in-science
@ml_in_science
Linkedin
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βοΈ Press release: The Nobel Prize in Physics 2019:
https://www.nobelprize.org/prizes/physics/2019/press-release/
π Illustrations:
πΆ Background radiation
https://www.nobelprize.org/uploads/2019/10/fig2_fy_en_backgroundradiation.pdf
πΆ Star chart
https://www.nobelprize.org/uploads/2019/10/fig3_fy_en_starChart.pdf
πΆ Radial velocity method
https://www.nobelprize.org/uploads/2019/10/fig4_fy_en_radialvelocitymethod.pdf
πΆ Transit photometry
https://www.nobelprize.org/uploads/2019/10/fig5_fy_en_transitPhotometry.pdf
πΆ Milky Way
https://www.nobelprize.org/uploads/2019/10/fig6_fy_en_milkyWay.pdf
https://www.nobelprize.org/prizes/physics/2019/press-release/
π Illustrations:
πΆ Background radiation
https://www.nobelprize.org/uploads/2019/10/fig2_fy_en_backgroundradiation.pdf
πΆ Star chart
https://www.nobelprize.org/uploads/2019/10/fig3_fy_en_starChart.pdf
πΆ Radial velocity method
https://www.nobelprize.org/uploads/2019/10/fig4_fy_en_radialvelocitymethod.pdf
πΆ Transit photometry
https://www.nobelprize.org/uploads/2019/10/fig5_fy_en_transitPhotometry.pdf
πΆ Milky Way
https://www.nobelprize.org/uploads/2019/10/fig6_fy_en_milkyWay.pdf
ββ ββ ββ ββ π Best of Towards Data Science - No.1 π
Creating a Weapon Detector in 5 simple steps
Object detection using mask-RCNN on custom dataset
Rahul Agarwal 7 min read
βββββββββββββββββββββββββ
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
βββββββββββββββββββββββββ
How to Create an Amazing Data Science Portfolio
To showcase your work and stand out
Tyler Folkman 5 min read
βββββββββββββββββββββββββ
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
andβ¦
Pier Paolo Ippolito 11 min read
βββββββββββββββββββββββββ
Trading Toolbox
Python Trading Toolbox: Weighted and Exponential Moving Averages
Stefano Basurto 9 min read
βββββββββββββββββββββββββ
How I Learned Data Science And The 1 Course That
Changed Everything
If you donβt know where to start
Oscar Kwok 7 min read
βββββββββββββββββββββββββ
Unboxing machine learning: feature importance for
black-box models
Because life is better when we understand things
Gonzalo Ferreiro Volpi 5 min read
βββββββββββββββββββββββββ
Deeper into Deep Neural Networks
Deep Neural Network - Artificial Intelligence
Ashagoyaleduonix 14 min read
βββββββββββββββββββββββββ
Why Iβm Taking a Machine Learning Class After
Spending Months as a Dataβ¦
You would think 480 hours would be enough for me.
Taylor Fogarty 3 min read
βββββββββββββββββββββββββ
How Exactly UMAP Works
And why exactly it is better than tSNE
Nikolay Oskolkov 16 min read
βββββββββββββββββββββββββ
My Shortlist of AI & ML Stuff: Books, Courses and
More
Never stop learning new thingsβ¦
Oleksii Kharkovyna 9 min read
βββββββββββββββββββββββββ
Time Series Analysis with Deep Learning : Simplified
Take the crash course in the βwhysβ and βwhensβ of using Deep
Learning in Time Series Analysis.
Prakhar Ganesh 5 min read
βββββββββββββββββββββββββ
How Many Samples Do I Need in My Test?
What you need to know to calculate a minimum test size for a binomial
test β and how to calculate it
Marguerite Siboni 6 min read
βββββββββββββββββββββββββ
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
βββββββββββββββββββββββββ
How to build your career in Artificial Intelligence?
Build your own Roadmap to get into AI
Ankit Rathi 6 min read
βββββββββββββββββββββββββ
Simple Linear Regression From Scratch in Numpy
Machine Learning doesnβt have to be complex β if explained in simple
terms.
Dario RadeΔiΔ 5 min read
βββββββββββββββββββββββββ
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
βββββββββββββββββββββββββ
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
βββββββββββββββββββββββββ
Get your computer ready for machine learning: How,
what and why you should useβ¦
Anaconda? What are we playing? Snakes and ladders? No. Weβre
getting ready our computer ready for machine learning.
Daniel Bourke 17 min read
βββββββββββββββββββββββββ
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 problemsβ¦
Magdalena Konkiewicz 4 min read
Creating a Weapon Detector in 5 simple steps
Object detection using mask-RCNN on custom dataset
Rahul Agarwal 7 min read
βββββββββββββββββββββββββ
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
βββββββββββββββββββββββββ
How to Create an Amazing Data Science Portfolio
To showcase your work and stand out
Tyler Folkman 5 min read
βββββββββββββββββββββββββ
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
andβ¦
Pier Paolo Ippolito 11 min read
βββββββββββββββββββββββββ
Trading Toolbox
Python Trading Toolbox: Weighted and Exponential Moving Averages
Stefano Basurto 9 min read
βββββββββββββββββββββββββ
How I Learned Data Science And The 1 Course That
Changed Everything
If you donβt know where to start
Oscar Kwok 7 min read
βββββββββββββββββββββββββ
Unboxing machine learning: feature importance for
black-box models
Because life is better when we understand things
Gonzalo Ferreiro Volpi 5 min read
βββββββββββββββββββββββββ
Deeper into Deep Neural Networks
Deep Neural Network - Artificial Intelligence
Ashagoyaleduonix 14 min read
βββββββββββββββββββββββββ
Why Iβm Taking a Machine Learning Class After
Spending Months as a Dataβ¦
You would think 480 hours would be enough for me.
Taylor Fogarty 3 min read
βββββββββββββββββββββββββ
How Exactly UMAP Works
And why exactly it is better than tSNE
Nikolay Oskolkov 16 min read
βββββββββββββββββββββββββ
My Shortlist of AI & ML Stuff: Books, Courses and
More
Never stop learning new thingsβ¦
Oleksii Kharkovyna 9 min read
βββββββββββββββββββββββββ
Time Series Analysis with Deep Learning : Simplified
Take the crash course in the βwhysβ and βwhensβ of using Deep
Learning in Time Series Analysis.
Prakhar Ganesh 5 min read
βββββββββββββββββββββββββ
How Many Samples Do I Need in My Test?
What you need to know to calculate a minimum test size for a binomial
test β and how to calculate it
Marguerite Siboni 6 min read
βββββββββββββββββββββββββ
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
βββββββββββββββββββββββββ
How to build your career in Artificial Intelligence?
Build your own Roadmap to get into AI
Ankit Rathi 6 min read
βββββββββββββββββββββββββ
Simple Linear Regression From Scratch in Numpy
Machine Learning doesnβt have to be complex β if explained in simple
terms.
Dario RadeΔiΔ 5 min read
βββββββββββββββββββββββββ
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
βββββββββββββββββββββββββ
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
βββββββββββββββββββββββββ
Get your computer ready for machine learning: How,
what and why you should useβ¦
Anaconda? What are we playing? Snakes and ladders? No. Weβre
getting ready our computer ready for machine learning.
Daniel Bourke 17 min read
βββββββββββββββββββββββββ
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 problemsβ¦
Magdalena Konkiewicz 4 min read
git-cheatsheet-EN-grey.pdf
254.5 KB
βοΈ GIT CHEAT SHEET
presented by TOWER βΊ Version control with Git - made easy
presented by TOWER βΊ Version control with Git - made easy
Forwarded from Mehdi Mohammadi
π¨βπ« 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 freeπ.
Ends on Oct 16. Enroll now for freeπ.
Best-of-KDnuggetsβ’-Data-Science-No1.pdf
162.3 KB
Key Ideas in Document Embedding; The problem with metrics is a big problem for AI
Best-of-KDnuggetsβ’-Data-Science-No2.pdf
208.6 KB
βοΈ 10 Free Top Notch Natural Language Processing Courses; How to Become a (Good) Data Scientist
π CORNELL CS4780 "Machine Learning for Intelligent Systems"
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π https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS&fbclid=IwAR2w5DnH6Oit3Vjk_zG-AQZth8cw7cYya4XcjHgi2Wqam7VD15DMyH0eQyM
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π https://www.youtube.com/playlist?list=PLl8OlHZGYOQ7bkVbuRthEsaLr7bONzbXS&fbclid=IwAR2w5DnH6Oit3Vjk_zG-AQZth8cw7cYya4XcjHgi2Wqam7VD15DMyH0eQyM
βοΈ Remote ML engineer Python/c++
π Β£30k β Β£80k β’ No equity
π https://angel.co/company/ai-technologies-1/jobs/331528-ml-engineer-python-c
π Β£30k β Β£80k β’ No equity
π https://angel.co/company/ai-technologies-1/jobs/331528-ml-engineer-python-c
AI in Science & Technology
https://www.youtube.com/watch?v=gylmjTOUfCQ
Nature
Quantum supremacy using a programmable superconducting processor
Quantum supremacy is demonstrated using a programmable superconducting processor known as Sycamore, taking approximately 200 seconds to sample one instance of a quantum circuit a million times, which would take a state-of-the-art supercomputer around tenβ¦