Here is a curated list of resources for machine learning enthusiasts and professionals. Whether you are just starting out or looking to expand your knowledge, these resources will help you on your journey.
Books
- "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron: This book is a comprehensive guide to machine learning with practical examples and code.
Online Courses
- Coursera: Offers a variety of machine learning courses from universities and companies around the world. Check out "Machine Learning" by Andrew Ng.
Tutorials
- Machine Learning Mastery: Provides in-depth tutorials on machine learning algorithms and techniques.
Blogs
- Towards Data Science: A Medium publication where AI and data science professionals share their insights and knowledge.
Podcasts
- The Data Science Podcast: Interviews with data scientists and machine learning experts.
Tools
- Jupyter Notebook: An open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
Communities
- Reddit: r/MachineLearning is a great place to ask questions and share your work.
Visualizations
- TensorFlow.js: A library for machine learning in JavaScript.
Conferences
- NeurIPS: The Conference on Neural Information Processing Systems is the leading event for machine learning and computational neuroscience.
Images
Machine Learning
Stay curious and keep learning! 🌟