CS50 for Business - Lecture 4 - Approaching Artificial Intelligence

The lecture explores the fundamentals of artificial intelligence, focusing on algorithms and strategies for building intelligent capabilities into computers. It begins with game playing, using examples like tic-tac-toe and chess to illustrate the Minimax algorithm and depth-limited search. The discussion covers reinforcement learning, where computers learn from experience through trial and error, balancing exploration and exploitation, exemplified by recommendation systems. The lecture further explains neural networks, inspired by the human brain, detailing how they learn to transform inputs into outputs through training data. Finally, it addresses natural language processing, including word embeddings and transformer architectures that use attention mechanisms to predict the next word in a sequence.