CS50’s Introduction to Artificial Intelligence with Python
Free course by MIT
https://cs50.harvard.edu/ai/2020
Week 0 Search
Week 1 Knowledge
Week 2 Uncertainty
Week 3 Optimization
Week 4 Learning
Week 5 Neural Networks
Week 6 Language
👉 Join @bigdataspecialist for more
Free course by MIT
https://cs50.harvard.edu/ai/2020
Week 0 Search
Week 1 Knowledge
Week 2 Uncertainty
Week 3 Optimization
Week 4 Learning
Week 5 Neural Networks
Week 6 Language
👉 Join @bigdataspecialist for more
cs50.harvard.edu
CS50's Introduction to Artificial Intelligence with Python
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects…
Hands on ML notebook series
Updated our ultimate post with a series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
GithubLink: https://bit.ly/3eiwAdH
Join @bigdataspecialist for more similar content.
Updated our ultimate post with a series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
GithubLink: https://bit.ly/3eiwAdH
Join @bigdataspecialist for more similar content.
GitHub
GitHub - ageron/handson-ml: ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead. - ageron/handson-ml
Core machine learning concepts explained through memes and simple charts. This 120-pages pdf document is created by Mihail Eric.
GitHub repo containing machine learning cheatsheet with code:
https://github.com/soulmachine/machine-learning-cheat-sheet
👉 @bigdataspecialist
https://github.com/soulmachine/machine-learning-cheat-sheet
👉 @bigdataspecialist
GitHub
GitHub - soulmachine/machine-learning-cheat-sheet: Classical equations and diagrams in machine learning
Classical equations and diagrams in machine learning - soulmachine/machine-learning-cheat-sheet
Free ML crash course by Google
https://developers.google.com/machine-learning/crash-course/
https://developers.google.com/machine-learning/crash-course/
Google for Developers
Machine Learning | Google for Developers
👍1
Great GitHub repository containing many Google colabs with latest's Deep Learning Models
*Text-to-speach
*Speech recognition
*Object detection
*Pose detection
*Segmentation
*GANs
https://github.com/tugstugi/dl-colab-notebooks
*Text-to-speach
*Speech recognition
*Object detection
*Pose detection
*Segmentation
*GANs
https://github.com/tugstugi/dl-colab-notebooks
GitHub
GitHub - tugstugi/dl-colab-notebooks: Try out deep learning models online on Google Colab
Try out deep learning models online on Google Colab - tugstugi/dl-colab-notebooks
Forwarded from Artificial Intelligence
1621505896741.pdf
7.7 MB
One of the most comprehensive cheatsheets on Machine Learning and Data Science. It covers all the essential topics.