0.1.1 Welcome to Supervised Machine Learning

Course subject(s) Module 00. Welcome to Supervised Machine Learning! Module 01. Introduction to Supervised Machine Learning

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!

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AI skills for Engineers: Supervised Machine Learning by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/ai-skills-for-engineers-supervised-machine-learning/
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