Welcome to our curated list of spectacularly free machine learning and artificial intelligence courses! Dive into these video lectures by some of the finest AI researchers and educators on the planet. Not only are these courses replete with high-quality educational content, but they also come with additional resources like lecture notes and assignments.
Introductory Lectures
These courses are excellent for diving into the world of machine learning and AI. No prior experience is needed, though a basic understanding of linear algebra, introductory calculus, probability, and some programming experience is advisable.
1. Machine Learning (Stanford CS229)
Start your journey into machine learning with this cornerstone course. It covers essential concepts and techniques widely used in the field.
2. Convolutional Neural Networks for Visual Recognition (Stanford CS231n)
This course is an excellent starting point for deep learning focused on convolutional neural networks and computer vision.
3. Introduction to Artificial Intelligence (UC Berkeley CS188)
Covering a broad spectrum from search methods to reinforcement learning, this course gives you a thorough understanding of AI.
4. Applied Machine Learning 2020 (Columbia)
This course takes a hands-on approach to machine learning, making use of popular libraries like scikit-learn and Keras.
5. Advanced Courses
Once you have your foundational knowledge, these advanced lectures can further expand your understanding of machine learning and AI.
- Deep Unsupervised Learning (UC Berkeley CS294)
- Frontiers of Deep Learning (Simons Institute)
- Geometry of Deep Learning (Microsoft Research)
- Deep Learning: Alchemy or Science? (Institute for Advanced Study)
Understanding the Code: An Analogy
Let’s say you want to bake a cake, but don’t know the recipe. The introductory courses serve as your recipe book, guiding you through each step of the process, from gathering ingredients to baking. The advanced courses subsequently act as your baking masterclass, where you can explore deeper techniques and refine your skills. In this way, the courses create a layered understanding, building your expertise like the multiple tiers of a well-crafted cake.
Troubleshooting and Additional Tips
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