Machine learning classification and regression techniques have the potential to be used in various engineering disciplines. These machine learning models allow you to make predictions for a category (classification) or for a number (regression) given sensor data, and can be used in, for example, predicting properties of objects (such as their weight or shape).

You will get insight into:

• • Machine Learning and its variants (supervised, semi-supervised, unsupervised, reinforcement)
  • Regression
  • Classification
  • Training Models (stochastic gradient descent and logistic regression)
  • Overfitting (bias variance decomposition and cross validation)
  • Cross Validation & Regularization (Ridge and Lasso)
  • Classifier Evaluation
  • Support Vector Machines (SVMs)
  • Decision Trees

We welcome you and hope you’ll learn form this course. Let’s get started!