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What is Machine Learning Basics and Types about?

The lecture covers the fundamentals of Machine Learning (ML), including its definition, types (Supervised, Unsupervised, Reinforcement), and key steps in the ML process. It emphasizes the importance of data and feature extraction, as well as the role of Deep Learning as an advanced approach that mimics human neural networks. The document also highlights the necessity of cloud computing for handling large datasets and complex models in Deep Learning.

Author

Naina Ramchandani

Language

EN