Machine Learning 01 | Introduction To Machine Learning | DA | GATE Crash Course

Begin your GATE DA crash course with a solid introduction to Machine Learning, tailored for Data Science and Artificial Intelligence aspirants! This video covers the fundamentals of Machine Learning, including supervised learning techniques such as regression and classification, key algorithms like support vector machines, decision trees, and neural networks, as well as an overview of unsupervised learning methods like clustering and dimensionality reduction. Understand essential ML concepts, their practical applications, and how they fit into the GATE DA syllabus, setting a strong foundation for approaching complex problems in the exam.

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Timestamps:
00:00:00 Introduction
0:14:50 What Is Machine Learning?
0:31:58 Supervised Learning
0:34:20 Un – Supervised Learning
0:43:22 Regression
01:25:30 Performance Metrics Of Regression

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