"Machine Learning" by Andrew Ng: This is a highly popular course that provides a broad introduction to machine learning. It covers various algorithms and techniques used in the field.
"Deep Learning Specialization" by Andrew Ng: This is a series of five courses that delve into deep learning concepts and applications. Topics include neural networks, structuring machine learning projects, and more.
"AI for Everyone" by Andrew Ng: This course is designed for non-technical professionals who want to understand the impact of AI on businesses and society.
"Natural Language Processing" by National Research University Higher School of Economics: This course covers the fundamentals of natural language processing, a subfield of AI that focuses on the interaction between computers and human language.
"Reinforcement Learning Specialization" by the University of Alberta: This specialization consists of four courses that cover various aspects of reinforcement learning, a type of machine learning where an agent learns to make decisions by interacting with an environment.
"Convolutional Neural Networks" by DeepLearning.AI: This course is part of the Deep Learning Specialization and focuses on convolutional neural networks (CNNs), a type of deep learning model commonly used in computer vision tasks.
