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I'm Luis Serrano. In this page, you will find educational material in machine learning and mathematics. Most of it comes from my YouTube channel, which I encourage you to subscribe to, and my book Grokking Machine Learning.
- Videos
In my YouTube Channel I have lots of machine learning...
- Book
Grokking Machine Learning. I am the author of Grokking...
- Research
Links Medium Google scholar Research Gate Mathematical...
- Live
Some talks, seminars, webinars, interviews, and podcasts...
- Contact
Feel free to contact me for any of the following: If you'd...
- Chinese
Check out my channels with Chinese videos. A huge thanks to...
- Natural Language Processing
Large Language Models and how they work The Math Behind...
- Machine Learning
Serrano.Academy. 147K subscribers. ROC (Receiver Operating...
- Videos
Learn machine learning and data science the simple way. Free videos and tutorials on deep learning, reinforcement learning, probability, statistics, and much more. Luis Serrano, the author of...
Luis Serrano, Instructor | Coursera. Bio. AI scientist, popular YouTuber, and author of Grokking Machine Learning. I am a quantum AI research scientist at Zapata Computing in Toronto, Canada, developing machine learning algorithms to work in quantum computers.
20 mar 2017 · A friendly introduction to Convolutional Neural Networks and Image Recognition - YouTube. Serrano.Academy. 138K subscribers. Subscribed. 17K. 644K views 6 years ago Neural Networks. Announcement:...
- 32 min
- 647,3K
- Serrano.Academy
Luis G. Serrano is a research scientist in quantum artificial intelligence. Previously, he was a Machine Learning Engineer at Google and Lead Artificial Intelligence Educator at Apple.
- $37.79
A friendly introduction to Recurrent Neural Networks - YouTube. Serrano.Academy. 146K subscribers. Subscribed. 15K. 560K views 6 years ago Neural Networks. Announcement: New Book by Luis...
- 23 min
- 560,6K
- Serrano.Academy
Grokking Machine Learning. I am the author of Grokking Machine Learning, a book by Manning Editors. This is a book in which I explain the main algorithms and techniques of supervised learning in a very friendly and intuitive way that doesn’t require heavy mathematics or coding. The book has code in Python, Numpy, Pandas, Scikit Learn, and ...