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The final quarter of the 12 months is when folks come alive. You could have your ultimate push to attain your yearly targets with the intention to hit your 2024 targets. Whether or not it’s beginning a brand new profession within the tech trade or creating your present abilities, self-development is vital.
The continual enchancment in know-how is inflicting there to be a rush to get into the trade. Individuals from all walks of life need to become involved. The purpose of the weblog is to offer you a listing of fantastic FREE programs which you could take that can assist you get there. I’ll break it down into sections by matter to make it simpler so that you can navigate in direction of your space of focus.
These free programs are all accessible on YouTube, making it really feel like you’re enrolled on an precise course. It’s tough to seek out the best content material on YouTube as a result of there’s a lot of it! Hopefully, this text makes your search simpler, so let’s get into it.
1. Introduction to Machine Studying, 2020/21
Hyperlink: Introduction to Machine Studying, Dmitry Kobak, 2020/21
2. Stanford CS229: Machine Studying
Hyperlink: Stanford CS229: Machine Studying Full Course taught by Andrew Ng
3. Cornell Tech CS 5787: Utilized Machine Studying
Hyperlink: Utilized Machine Studying (Cornell Tech CS 5787, Fall 2020)
4. Making Mates with Machine Studying
Hyperlink: Making Mates with Machine Studying, Cassie Kozyrkov
5. Basis Fashions
Hyperlink: Basis Fashions
1. Statistical Machine Studying
Hyperlink: Statistical Machine Studying
Rookies:
1. MIT 6.S191: Introduction to Deep Studying
Hyperlink: Introduction to Deep Studying
2. CMU Introduction to Deep Studying
Hyperlink: Introduction to Deep Studying: 11785 Spring 2023 Lectures
3. MIT: Introduction to Deep Studying
Hyperlink: Introduction to Deep Studying
4. Neural Networks: Zero to Hero
Hyperlink: Neural Networks: Zero to Hero
5. Foundations of Deep RL
Hyperlink: Foundations of Deep RL
Intermediate:
1. Stanford CS230: Deep Studying
Hyperlink: Stanford CS230: Deep Studying, Autumn 2018
2. Stanford CS25 – Transformers United
Hyperlink: Transformers United
3. MIT 6.S192: Deep Studying for Artwork, Aesthetics, and Creativity
Hyperlink: Deep Studying for Artwork, Aesthetics, and Creativity
4. CS 285: Deep Reinforcement Studying
Hyperlink: Deep Reinforcement Studying
5. Stanford: Reinforcement Studying
Hyperlink: Reinforcement Studying
6. Berkeley: Deep Unsupervised Studying
Hyperlink: Deep Unsupervised Studying, Spring 2020
7. NYU Deep Studying
Hyperlink: Deep Studying SP21
8. Full Stack Deep Studying
Hyperlink: Full Stack Deep Studying 2021
9. Deep Studying for Pc Imaginative and prescient
Hyperlink: Deep Studying for Pc Imaginative and prescient
1. Hugging Face Course: NLP
Hyperlink: NLP: Hugging Face Course
2. Stanford CS224U: Pure Language Understanding
Hyperlink: Pure Language Understanding
3. CMU Superior NLP
Hyperlink: Superior NLP, 2022
4. CMU Multilingual NLP
Hyperlink: Multilingual NLP
5. UMass CS685: Superior Pure Language Processing
Hyperlink: Superior Pure Language Processing
1. Sensible Deep Studying for Coders
Hyperlink: Sensible Deep Studying for Coders
2. Machine Studying Engineering for Manufacturing (MLOps)
Hyperlink: Machine Studying Engineering for Manufacturing
And that’s it!
As I discussed earlier than, there are loads of programs on the market and it may be tough to stay to at least one. There could also be a specific lecturer’s voice you favor over one other or the best way a lecturer presents. There are such a lot of belongings you think about.
I’ve supplied an intensive listing in every part that can assist you select which one you favor and may proceed your studying with.
Hope this listing has helped you. And if of any good assets, please drop them within the feedback to share with the educational neighborhood – thanks!
Pleased Studying!
Nisha Arya is a Knowledge Scientist, Freelance Technical Author and Neighborhood Supervisor at KDnuggets. She is especially interested by offering Knowledge Science profession recommendation or tutorials and principle primarily based data round Knowledge Science. She additionally needs to discover the alternative ways Synthetic Intelligence is/can profit the longevity of human life. A eager learner, looking for to broaden her tech data and writing abilities, while serving to information others.
