Coding Community
8.35K subscribers
88 photos
1 video
48 files
154 links
Education is free for all.

admin: @tcpl0
Download Telegram
Introduction to Machine Learning (Fall 2020)
By Massachusetts Institute of Technology, MIT

Length: 13 weeks

πŸ”— Course link
#ml #machinelearning #datascience #MIT
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
Join @Coding_CommunityOfficial for more

π—˜π—‘π—π—’π—¬ π—Ÿπ—˜π—”π—₯π—‘π—œπ—‘π—šπŸ‘πŸ‘
Introduction to Data Science by University of Washington

🎬
95 video sessions
⏰ Duration: 16h
πŸ‘¨β€πŸ« Instructor: Bill Howe, PhD
βœ… Completely free

πŸ”— Course link


#datascience #ds #ml #washingtonuniversity
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
Join @Coding_CommunityOfficial for more

π—˜π—‘π—π—’π—¬ π—Ÿπ—˜π—”π—₯π—‘π—œπ—‘π—šπŸ‘πŸ‘
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
πŸ‘¨β€πŸ« Teachers: Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar VeličkoviΔ‡
πŸ“š12 lectures, 2 tutorials, and 4 seminars
This course follows GDL BOOK
πŸ”— Course link: https://geometricdeeplearning.com/lectures/

Machine Learning for Graphs and Sequential Data (MLGS)
by Stephan GΓΌnnemann
Awesome course covering in depth generative models, robustness, sequential data, clustering, label propagation, GNNs, and more
πŸ”— 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
πŸ”— 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 πŸ‘¨β€πŸŽ“: 65,523 students
Duration ⏰: 3hr 55min of on-demand video
πŸ”— Course link

Deep Learning Prerequisites: The Numpy Stack in Python V2 (Udemy)
Rating ⭐️: 4.6 out of 5
Students πŸ‘¨β€πŸŽ“: 34,785
Duration ⏰: 1hr 59min of on-demand video
πŸ”— 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
πŸ”— Book link

#graphML #ML #machinelearning #deeplearning #python
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
Join @Coding_CommunityOfficial for more

π—˜π—‘π—π—’π—¬ π—Ÿπ—˜π—”π—₯π—‘π—œπ—‘π—šπŸ‘πŸ‘
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
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
Join @Coding_CommunityOfficial for more

π—˜π—‘π—π—’π—¬ π—Ÿπ—˜π—”π—₯π—‘π—œπ—‘π—šπŸ‘πŸ‘