Machine Learning and its Applications

This course is part of Applied AI for Engineers and Scientists: Foundations Specialization

Instructor: Bo Liu

What you'll learn

  •   Learn essential concepts and working principles of machine learning algorithms and their application in science and engineering.

    • Skills you'll gain

  •   Regression Analysis
  •   Applied Machine Learning
  •   Classification And Regression Tree (CART)
  •   Supervised Learning
  •   Machine Learning
  •   Artificial Neural Networks
  •   Data Transformation
  •   Feature Engineering
  •   Predictive Modeling
  •   Matlab
  •   Data Cleansing

    • There are 5 modules in this course

    In partnership with MathWorks, enrolled students have access to MATLAB for the duration of the course.

    Machine Learning Fundamentals II: Model Training and Evaluation

    Data Preparation

    Support Vector Machines

    Artificial Neural Networks

    Explore more from Machine Learning

    Machine Learning: an overview

    Applied Machine Learning: Techniques and Applications

    Applied AI for Engineers and Scientists: Foundations

    Machine Learning: Concepts and Applications

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