Introduction to Machine Learning (Fall 2020)
By Massachusetts Institute of Technology, MIT

Length: 13 weeks

🔗 Course link
#ml #machinelearning #datascience #MIT
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Graph ML and deep learning courses

This is another post on your request. Other courses you requested will be shared in following days.

Geometric Deep learning course
AMMI21
👨‍🏫 Teachers: Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Veličković
📚12 lectures, 2 tutorials, and 4 seminars
This course follows GDL BOOK
🔗 Course link: https://geometricdeeplearning.com/lectures/

Machine Learning for Graphs and Sequential Data (MLGS)
by Stephan Günnemann
Awesome course covering in depth generative models, robustness, sequential data, clustering, label propagation, GNNs, and more
🔗 Course link: https://www.in.tum.de/daml/teaching/mlgs/

Stanford CS224W course on graph ML
A legendary Stanford CS224W course on graph ML now releases videos on YouTube for 2021
🎬 60 Videos
⏰ 30h
🔗 Course link


Python For Data Science (Udemy)
This course specifically created for Data Science / AI / ML / DL. It covers BASICS PYTHON ONLY
Rating ⭐️: 4.1 out of 5
Students 👨‍🎓: 65,523 students
Duration ⏰: 3hr 55min of on-demand video
🔗 Course link

Deep Learning Prerequisites: The Numpy Stack in Python V2 (Udemy)
Rating ⭐️: 4.6 out of 5
Students 👨‍🎓: 34,785
Duration ⏰: 1hr 59min of on-demand video
🔗 Course link

There is also this cool blogpost by Gordić Aleksa:
How to get started with Graph Machine Learning

And one early access version book:
Graph Powered Machine Learning
by: Allesandro Negro
🔗 Book link

#graphML #ML #machinelearning #deeplearning #python
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

FOUNDATIONS OF MACHINE LEARNING
by Bloomberg
Understand the Concepts, Techniques and Mathematical Frameworks Used by Experts in Machine Learning

🎬 30 video lessons with slides
⏰ 28 hours

https://bloomberg.github.io/foml/#home

#machinelearning #ml
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Deep Learning free courses

Introduction to Deep Learning
🎬 10 video lesson
Duration ⏰: 1 week worth of material
🏃‍♂️ Self paced
📄 Notes, 👨‍🏫 Labs and many more
☢️ Projects, Competitions
Teacher: Alexander Amini, Ava Soleimany
Source: MIT
🔗 Course link

Practical Deep Learning For Coders
🎬 8 video lessons
📔 Book Read online
📄 Notes, 👨‍🏫 Labs and many more
Duration ⏰: 7 weeks long, 10 hours a week
🏃‍♂️ Self paced
Teacher: Jeremy Howard
Source: fast.ai
🔗 Course link

Deep Learning
by Kaggle
🎬 13 video lesson
Duration ⏰: 2 hours worth of material
🔗 Course link

Learn Deep Learning and TensorFlow, without a Ph.D.
🎬 8 video lesson
Duration ⏰: 3 hours worth of material
🏃‍♂️ Self paced
📄 Notes, slides
Teacher: Martin Görner
Source: Google Cloud
🔗 Course link

Explore Deep Learning for Natural Language Processing
🎬 9 video lesson
Duration ⏰: 7-8 hours worth of material
🏃‍♂️ Self paced
Resource: Trailhead
🔗 Course link

Deep Learning Summer School
🎬 35 video lesson
Duration ⏰: 35+ hours
🏃‍♂️ Self paced
Resource: deeplearning
🔗 Course link

Deep Learning Prerequisites: The Numpy Stack in Python V2
Rating ⭐️: 4.5 out of 5
Students 👨‍🎓: 2230
Duration ⏰: 1hr 59min
Created by Lazy Programmer Team, Lazy Programmer Inc.
🔗 Course link

AI 101 Video Presentation
presentation given by 👨‍🏫: MIT’s Brandon Leshchinskiy
🔗 Presentation link

Deep Learning in Life Sciences - Spring 2021
🎬 22 video lesson
Duration ⏰: 31 hours worth of material
🏃‍♂️ Self paced
Teacher: Manolis Kellis
Resource: Class Central
🔗 Course link

Intro to Deep Learning
by Kaggle
Use TensorFlow and Keras to build and train neural networks for structured data.
Duration ⏰: 4 hours
🔗 Course link


Deep Learning An MIT Press book 📚
Authers: Ian Goodfellow, Yoshua Bengio and Aaron Courville
🔗 Book link

#Deep_Learning #deeplearning #dl #machinelearning
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍

Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS
Complete Machine Learning Course with Python for beginners
Rating⭐️: 4.6 out 5
Students 👨‍🎓 : 18533
Duration ⏰ : 13 hours on-demand video
Teacher 👨‍🏫: Prashant Mishra
🔗 Course link


I have noticed this one is currently free (but only for first 1000 enrols !!!) so I thought some of you might be interested 😊

#machinelearning #pythoncourses #python
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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍