Software Defined Networking

Introduction To Machine Learning

Yogesh Kulkarni
Yogesh Kulkarni
PhD

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Course Description
Machine Learning is getting popular day-by-day. It is not a hype but an essential technique made possible and powerful by availability of data. Learning Machine Learning is imperative and Python is a good programming environment to get started with the basics. This course will cover a breadth of topics of Machine Learning with programming in Python. Salient topics are: - Background of Machine Learning - Types of Machine Learning - Overview of popular techniques such as Regression, Classification, Clustering. - Test-case implementation using Python Scikit-Learn.
  • Course
    • Introduction
      • Course Introduction
    • Core Topics
      • Background
      • Core Idea
      • Overview
      • Major AI Approaches
      • Machine Learning
      • Types of Machine learning
      • Popular Algorithms
      • Machine Learning Theory
      • Machine Learning Evaluation
      • Generalization
      • Scikit Learn (Sklearn)
      • Testcase
Course Outline:
  • Course
    • Introduction
      • Course Introduction
    • Core Topics
      • Background
      • Core Idea
      • Overview
      • Major AI Approaches
      • Machine Learning
      • Types of Machine learning
      • Popular Algorithms
      • Machine Learning Theory
      • Machine Learning Evaluation
      • Generalization
      • Scikit Learn (Sklearn)
      • Testcase

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