Practical Data Science using Python - History of Machine Learning

The video explores the history and advancements in machine learning and artificial intelligence, highlighting key developments from the 1940s to the present. It discusses the role of GPUs in enhancing computational power, enabling complex AI tasks, and the integration of AI in cloud computing. The video also covers significant milestones like the Turing test, perceptron, and modern AI platforms like Google Brain and DeepMind.

What are some applications of deep learning algorithms in today's world?

Discuss the importance of reinforcement learning in modern AI applications.

What advancements did Google Brain bring to the field of machine learning?

How did the demand for GPUs change with the rise of artificial intelligence applications?