Software Defined Networking

Introduction To Machine Learning

Yogesh Kulkarni
Yogesh Kulkarni
PhD

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

Course Format Options:

Online Streaming

Train anywhere with our web, iOS, Android and Apple TV apps! You'll also have access to any course updates and additions.

Video Download

Download the entire course in mobile, high and HD(1080p) resolutions.

  • Regular price $39.99
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02hr 42min
July 3, 2018