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

Length: 13 weeks

🔗 Course link
#ml #machinelearning #datascience #MIT
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

Introduction to Data Science by University of Washington

🎬 95 video sessions
⏰ Duration: 16h
👨‍🏫 Instructor: Bill Howe, PhD
✅ Completely free

🔗 Course link


#datascience #ds #ml #washingtonuniversity
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉Join @bigdataspecialist for more👈

Data Science: Python for Data Analysis 2022 Full Bootcamp

Rating ⭐️: 4.3 out of 5
Students 👨‍🏫: 104,287
Created by: Ahmed Ibrahim and SDE OCTOPUS | AI

🔗 Course link

Note: Free coupon is inserted in URL. Number of free spots is limited to 1000. Once this number is reached, coupon won't be valid anymore.

#python #datanalysis #datascience
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

Free 10-Hour Machine Learning Course
by freecodecamp

Section 1: Basics of Machine Learning
Section 2: Linear Regression & Regularization
Section 3: Logistic Regression & Performance Metrics
Section 4: Support Vector Machine
Section 5: PCA
Section 6: Learning Theory
Section 7: Decision Trees & Random Forest
Section 7.5: Learning more algorithms and building more projects
Section 8: Unsupervised Learning Algorithms
Section 9: Building Applications

🔗 Course link: https://www.freecodecamp.org/news/free-machine-learning-course-10-hourse/
10-hour youtube video: https://www.youtube.com/watch?v=NWONeJKn6kc


➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool DS/ML materials.

ML and NLP Research Highlights of 2021
by Sebastian Ruder

This post summarizes progress across multiple impactful areas in ML and NLP in 2021.

Contents:

Universal Models
Massive Multi-task Learning
Beyond the Transformer
Prompting
Efficient Methods
Benchmarking
Conditional Image Generation
ML for Science
Program Synthesis
Bias
Retrieval Augmentation
Token-free Models
Temporal Adaptation
The Importance of Data
Meta-learning


https://ruder.io/ml-highlights-2021/

➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool DS/ML materials.

Machine Learning for Healthcare (Spring 2019)
By Massachusetts Institute of Technology (MIT)

🎬 25 video lessons
⏰ 33 hours
👨‍🏫 Prof. Peter Szolovits
👨‍🏫 Prof. David Sontag

https://www.classcentral.com/course/mit-opencourseware-machine-learning-for-healthcare-spring-2019-40955/classroom

#ml #machinelearning #healthcare #MIT
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

Rules of Machine Learning:
Best Practices for ML Engineering
Author: Martin Zinkevich

This document is intended to help those with a basic knowledge of machine learning get thebenefit of best practices in machine learning from around Google.

👉 43 ML Rules to follow
🔗 http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf

➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

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
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉Join @bigdataspecialist for more👈

Deep Learning Do It Yourself!

This site collects resources to learn Deep Learning in the form of Modules available through the sidebar on the left.

https://dataflowr.github.io/website/

➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

The Periodic Table Of Data Science

🔗 Book link


#machinelearning #ml #datascience
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @coding_interview_preparation for more.
*This channel belongs to @bigdataspecialist group

Lectures for UC Berkeley CS 182: Deep Learning
Spring 2021

🎬 66 videos
⏰ 26 hours

https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A

#deeplearning
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

The Incredible PyTorch
A curated list of tutorials, papers, projects, communities and more relating to PyTorch.

https://www.ritchieng.com/the-incredible-pytorch/

#pytorch
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

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
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group