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ai-ml-resources's Introduction

AI-ML-Resources

This is an awesome repo about AI/ML resources. ⚡

Resources are added frequently! ⚡

Enjoy!

Contributing:cupid:

To add, remove or change things on the list: please submit a pull request to the GitHub repository

Table of Contents

Books for AI-ML

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

YouTube Channels for AI-ML

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

Websites for AI-ML

Website Links
https://ai.google/
https://machinelearningmastery.com/
https://www.kaggle.com/
https://towardsdatascience.com/
https://course.fast.ai
https://d2l.ai

Join our Community

Social Media Link
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GitHub Join Us

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