Machine Learning Notebook
A resource for machine learning with Python
A resource for machine learning with Python
University of California, Berkeley full course 2018
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings
https://inst.eecs.berkeley.edu/~cs188/fa18/
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings
https://inst.eecs.berkeley.edu/~cs188/fa18/
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Deep Learning with Applications Using Python
Deep learning course from MIT by Lex Fridman.
New lecture videos regarding on Deep learning .
I highly recommend you to watch these videos
New lecture videos regarding on Deep learning .
I highly recommend you to watch these videos
AI and Machine Learning: How to learn them visually
https://medium.freecodecamp.org/ai-and-machine-learning-how-to-learn-them-visually-79a56d9b7dbb?source=rss----336d898217ee---4
https://medium.freecodecamp.org/ai-and-machine-learning-how-to-learn-them-visually-79a56d9b7dbb?source=rss----336d898217ee---4