Certificate Course on: Machine Learning 5000

  • Duration: 45 Hours

  • Per Day: 1-2 Hours
Machine Learning

The Training session will be live *Recorded lectures will be available

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice

Week Duration Topic Contents
Week 1 1-2 Hours Introduction to Machine Learning
  • Introduction
  • Need
  • Approaches
  • Applications
  • Philosophy and ethics
  • Industrial importance
Week 1 1-2 Hours Statistical Decision Making
  • Data Visualization
  • Principles of data visualization
  • different methods of presenting data in business analytics
  • Concepts of Size, Shape, Color
  • Various Visualization types
Week 1 1-2 Hours Sampling and Estimation
  • Sample versus population
  • Sample techniques (simple, stratified, clustered, random)
  • Sampling Distributions
  • Parameter Estimation
  • Unbalanced data treatment
Week 1 1-2 Hours Predictive Analytics-1
  • Linear Regression
  • Relationship between attributes using Covariance and Correlation
  • Relationship between multiple variables: Regression (Linear, Multivariate) in prediction.
Week 2 1-2 Hours Predictive Analytics-2
  • Multiple Linear Regression
  • Polynomial Regression
  • Regularization methods
  • Lasso, Ridge and Elastic nets
  • Categorical Variables in Regression