Forwarded from Deep learning channel (Mohsen Fayyaz)
Jeremy Jordan
Organizing machine learning projects: project management guidelines.
The goal of this document is to provide a common framework for approaching machine learning projects that can be referenced by practitioners. If you build ML models, this post is for you.
Machine Learning for Physics and the Physics of Learning Tutorials
https://t.co/4nfcnWkQtM?amp=1
#machine_learning #physics
https://t.co/4nfcnWkQtM?amp=1
#machine_learning #physics
IPAM
Machine Learning for Physics and the Physics of Learning Tutorials (Schedule) - IPAM
New Educational Methods for Learning Mathematics
https://www.youtube.com/watch?v=X_CK1e0Lmxw
#mathematics
https://www.youtube.com/watch?v=X_CK1e0Lmxw
#mathematics
YouTube
Common Core Math Explained
Dr. Raj Shah, owner and founder of Math Plus Academy (mathplusacademy.com) explains why math is taught differently than it was in the past and helps address parents' misconceptions about the "new math". Original video: https://vimeo.com/110807219
François Chollet is the creator of Keras, which is an open source deep learning library that is designed to enable fast, user-friendly experimentation with deep neural networks. It serves as an interface to several deep learning libraries, most popular of which is TensorFlow, and it was integrated into TensorFlow main codebase a while back. Aside from creating an exceptionally useful and popular library, François is also a world-class AI researcher and software engineer at Google, and is definitely an outspoken, if not controversial, personality in the AI world, especially in the realm of ideas around the future of artificial intelligence. This conversation is part of the Artificial Intelligence podcast.
https://www.youtube.com/watch?v=Bo8MY4JpiXE&t=173s
#machine_learning #artificial_intelligence #podcast
https://www.youtube.com/watch?v=Bo8MY4JpiXE&t=173s
#machine_learning #artificial_intelligence #podcast
YouTube
François Chollet: Keras, Deep Learning, and the Progress of AI | Artificial Intelligence Podcast
François Chollet is the creator of Keras, which is an open source deep learning library that is designed to enable fast, user-friendly experimentation with d...
A great and comprehensive review of meta-learning algorithms
https://lilianweng.github.io/lil-log/2018/11/30/meta-learning.html
#meta_learning #deep_learning #machine_learning
https://lilianweng.github.io/lil-log/2018/11/30/meta-learning.html
#meta_learning #deep_learning #machine_learning
Lil'Log
Meta Learning
The purpose of this handout is to help you use statistics to make your argument as effectively as possible, especially in your research paper.
https://writingcenter.unc.edu/tips-and-tools/statistics/
https://writingcenter.unc.edu/tips-and-tools/statistics/
The Writing Center • University of North Carolina at Chapel Hill
Statistics – The Writing Center • University of North Carolina at Chapel Hill
There are lies, damned lies, and statistics. —Mark Twain What this handout is about The purpose of this handout is to help you use statistics to make your argument as effectively as possible. Introduction Numbers are power. Apparently freed of … Read more
Genetic Neural Architecture Search.pdf
1.5 MB
Today I published the pre-print version of my first paper which is about designing a new evolutionary algorithm for neural architecture search in Arxiv.
https://arxiv.org/abs/1909.09432
https://arxiv.org/abs/1909.09432
A set of tutorials and courses on Geometric Deep Learning:
https://people.lu.usi.ch/bronstem/teaching_tutorial.html
#deep_learning #geometric_deep_learning #machine_learning
https://people.lu.usi.ch/bronstem/teaching_tutorial.html
#deep_learning #geometric_deep_learning #machine_learning
A curated list of resources dedicated to Natural Language Processing (NLP)
https://github.com/keon/awesome-nlp
#nlp #deep_learning
https://github.com/keon/awesome-nlp
#nlp #deep_learning
GitHub
GitHub - keon/awesome-nlp: :book: A curated list of resources dedicated to Natural Language Processing (NLP)
:book: A curated list of resources dedicated to Natural Language Processing (NLP) - keon/awesome-nlp
A fascinating Youtube Channel for learning various mathematical concepts:
https://www.youtube.com/channel/UCFe6jenM1Bc54qtBsIJGRZQ
#mathematics
https://www.youtube.com/channel/UCFe6jenM1Bc54qtBsIJGRZQ
#mathematics
YouTube
Patrick J
Howdy!
I've been creating free Mathematics videos since 2007 and continue to do so.
Teachers please feel free to reach out if I can help you although I do get a lot of emails! You can find my email below next to the 'For Business Inquiries' box!
If you…
I've been creating free Mathematics videos since 2007 and continue to do so.
Teachers please feel free to reach out if I can help you although I do get a lot of emails! You can find my email below next to the 'For Business Inquiries' box!
If you…
Lectures Slides of Signal Processing for Machine Learning Course by Stanfrod University
https://web.stanford.edu/class/ee269/slides.html
#mathematics #machine_learning
https://web.stanford.edu/class/ee269/slides.html
#mathematics #machine_learning
A great course about Digital Signal Processing, presented by EPFL
https://www.coursera.org/learn/dsp
#mathematics #electrical_engineering
https://www.coursera.org/learn/dsp
#mathematics #electrical_engineering
Coursera
Digital Signal Processing 1: Basic Concepts and Algorithms
Offered by École Polytechnique Fédérale de Lausanne. ... Enroll for free.
Good tips for multiprocessing in Python:
https://www.cloudcity.io/blog/2019/02/27/things-i-wish-they-told-me-about-multiprocessing-in-python/
#python #parallel_programming
https://www.cloudcity.io/blog/2019/02/27/things-i-wish-they-told-me-about-multiprocessing-in-python/
#python #parallel_programming
Cloud City Development
Things I Wish They Told Me About Multiprocessing in Python
Framing the problem
“Some people, when confronted with a problem, think ‘I know, I’ll use multithreading’. Nothhw tpe yawrve o oblems.” (Eiríkr Åsheim, 2012)
If multithreading is so problematic, though, how do we take advantage of systems with 8, 16, 32…
“Some people, when confronted with a problem, think ‘I know, I’ll use multithreading’. Nothhw tpe yawrve o oblems.” (Eiríkr Åsheim, 2012)
If multithreading is so problematic, though, how do we take advantage of systems with 8, 16, 32…
The Math of Machine Learning - Berkeley University Textbook
The mathematical skills you need for starting your journey into the field of Machine Learning
Note: It should be noted that It doesn't cover all the mathematical skills you need for doing ML during your life, It's just a brief textbook which could help you to start learning more complicated mathematical concepts in ML
https://www.datasciencecentral.com/profiles/blogs/tutorial-the-math-of-machine-learning-berkeley-university
#mahine_learning #mathematics
The mathematical skills you need for starting your journey into the field of Machine Learning
Note: It should be noted that It doesn't cover all the mathematical skills you need for doing ML during your life, It's just a brief textbook which could help you to start learning more complicated mathematical concepts in ML
https://www.datasciencecentral.com/profiles/blogs/tutorial-the-math-of-machine-learning-berkeley-university
#mahine_learning #mathematics
Data Science Central
The Math of Machine Learning - Berkeley University Textbook - DataScienceCentral.com
This document is an attempt to provide a summary of the mathematical background needed for an introductory class in machine learning, which at UC Berkeley is known as CS 189/289A. Our assumption is that the reader is already familiar with the basic concepts…
Pytest Library
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries.
https://doc.pytest.org/en/latest/#
#python #programming
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries.
https://doc.pytest.org/en/latest/#
#python #programming