Get Acquainted with Machine Learning
Machine Learning (ML) is a subset of AI that focuses on building systems that learn from data. Start with the basics and gradually move to more advanced topics.
Recommended Free Resources:
- Coursera: Machine Learning by Andrew Ng: This is a classic and highly recommended course that covers all fundamental aspects of ML.
- Google AI’s Machine Learning Crash Course: A practical introduction to ML with exercises and interactive visualizations.
Recommended Books:
- “Pattern Recognition and Machine Learning” by Christopher M. Bishop: An excellent textbook for understanding the theoretical aspects of ML.
- “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurélien Géron: A practical guide with examples and code snippets to help you implement ML algorithms.
7 Steps to Learn AI From Scratch in 2024: Best free Resources
Artificial Intelligence (AI) is revolutionizing every industry, from healthcare to finance to entertainment. As we move into 2024, there has never been a better time to dive into AI and equip yourself with the skills to be part of this exciting field. This article covers a step-by-step guide to help you learn AI from scratch, using the best free resources available.
Steps to Learn AI From Scratch in 2024