# @awomanindatascience on Instagram

- **Type:** Video
- **Original URL:** https://www.instagram.com/p/C2N9eXCvogL
- **Gondola URL:** https://gondola.cc/posts/61230305-awomanindatascience-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/b8936a91ad.jpg
- **Posted:** 2024-01-17T22:29:15.000+00:00
- **Account Owner:** Chinar Arora (@awomanindatascience) — https://gondola.cc/awomanindatascience

## Caption

💫Sharing some free online courses in Machine Learning and Deep Learning that offer the blend of theory and application. Some of these courses were taken by me twice (ISLR) and Machine Learning by Coursera. You can design your curriculum based on them. Here are the 10 courses with their respective links - 
1. An Introduction to Statistical Learning with Applications in R
Python Code: https://github.com/JWarmenhoven/ISLR-python

2. Linear Algebra by MIT 
https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/

3. Machine Learning by Coursera

https://www.coursera.org/learn/machine-learning

4. Introduction to Data Science | Coursera

5. Practical Deep Learning for Coders by fast.ai

https://course.fast.ai/

6. CS224N: Natural Language Processing with Deep Learning by Stanford

https://www.youtube.com/playlist?list=PLU40WL8Ol94IJzQtileLTqGZuXtGlLMP_

http://web.stanford.edu/class/cs224n/syllabus.html

7. Probabilistic Graphical Models Specialization by Coursera

https://www.coursera.org/specializations/probabilistic-graphical-models

8. Introduction to Reinforcement Learning by DeepMind

https://www.youtube.com/watch?v=2pWv7GOvuf0&list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ

9. Full Stack Deep Learning Bootcamp by Berkeley

https://fullstackdeeplearning.com/course/2022/

10. CS231N: Convolutional Neural Networks for Visual Recognition by Stanford

Happy Learning 👩‍💻
https://www.youtube.com/playlist?list=PLzUTmXVwsnXod6WNdg57Yc3zFx_f-RYsq
#womenintech #datascience #machinelearning #deeplearning #womenindatascience

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- **Views:** 1,540
- **Likes:** 42
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- **Comments:** 4

## Tags

datascience, womenintech, womenindatascience, deeplearning, machinelearning

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