How to learn AI and ML in 2024 - A complete roadmap

Introduction

Are you looking to dive into the world of artificial intelligence (AI) and machine learning (ML) but unsure where to start? Here is a detailed roadmap with 15 free learning resources that will take you from a beginner to an advanced level in the field. From understanding the basics of ML to mastering complex mathematical concepts, this comprehensive guide covers all the essential steps needed to kickstart your AI and ML journey.

1. R2D3 visual overview of machine learning
2. Coding and Jupyter Notebook skills from Open Tech School
3. Introduction to Machine Learning course from Kaggle
4. Advanced Machine Learning course from Google
5. TensorFlow tutorials for practical experience
6. Math mastery with online resources and tutorials
7. Mathematics for Machine Learning book
8. Probability and Statistics resources
9. Statistics Done Wrong insights
10. Machine Learning article by Pedro Domingos
11. Hands-On Machine Learning book by Aurélien Géron
12. Support from Stack Exchange community
13. Online Masters course option

Join the thousands of learners on an exciting AI and ML journey with these free resources catered to all skill levels.

Keywords

AI, ML, machine learning, coding, TensorFlow, mathematics, statistics, resources, support, roadmap

FAQ

1. What are the essential skills needed to excel in AI and ML?
2. How can beginners start learning machine learning without any prior experience in coding?
3. Are there free resources available to help with understanding complex mathematical concepts in machine learning?
4. How can one stay updated with the latest advancements in AI and ML?
5. Is it necessary to pursue a formal education or online course to become proficient in AI and ML?