This is an awesome repo about AI/ML resources. ⚡
Resources are added frequently! ⚡
To add, remove or change things on the list: please submit a pull request to the GitHub repository
| NAME | Hard Copy Link | PDF Copy Link |
|---|---|---|
| Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3rd Edition, Kindle Edition by Aurélien Géron | Click Here | Click Here |
| Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD | Click Here | Click Here |
| Dive into Deep Learning | Click Here | Click Here |
| Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition Kindle Edition by Amita Kapoor | Click Here | |
| Python Machine Learning By Example: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn, 3rd Edition 3rd Edition, Kindle Edition by Yuxi (Hayden) Liu | Click Here | |
| Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications | Click Here | |
| Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python | Click Here | |
| Artificial Intelligence: A Modern Approach, eBook, Global Edition [Print Replica] Kindle Edition by Russell (Author) | Click Here | Click Here |
| Life 3.0: Being Human in the Age of Artificial Intelligence | Click Here | Click Here |
| Machine Learning For Absolute Beginners: A Plain English Introduction | Click Here | Click Here |
| Make Your Own Neural Network [Print Replica] Kindle Edition by Tariq Rashid | Click Here | Click Here |
| Artificial Intelligence For Dummies Paperback – 1 January 2018 by John Paul Mueller | CLick Here | Click Here |
| Machine Learning for Designers by Patrick Hebron | Click Here | Click Here |
| Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive | Click Here | Click Here |
| Channel Name | Link |
|---|---|
| Machine Learning Course MIT OpenCourseWare | Click Here |
| NYU Deep Learning SP21 by Alfredo Canziani | Click Here |
| Computer Vision — Andreas Geiger | Click Here |
| TensorFlow 2 Beginner Course | Click Here |
| Krish Naik | CLick Here |
| Nicholas Renotte | Click Here |
| Stanford CS229: Machine Learning Full Course | Click Here |
| DeepLearningAI | Click Here |
| Artificial Intelligence-All in One | Click Here |
| Practical Deep Learning for Coders 2022 | Click Here |
| Neural Networks: Zero to Hero | Click Here |
| Website Links |
|---|
| https://ai.google/ |
| https://machinelearningmastery.com/ |
| https://www.kaggle.com/ |
| https://towardsdatascience.com/ |
| https://course.fast.ai |
| https://d2l.ai |
| Social Media | Link |
|---|---|
| Discord | Join Us |
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| GitHub | Join Us |