YoVDO

Machine Learning Onramp

Offered By: MathWorks via MATLAB Academy

Tags

MATLAB Courses Machine Learning Courses Signal Processing Courses Predictive Analytics Courses Summary Statistics Courses Data Transformation Courses Data Preprocessing Courses Model Evaluation Courses Feature Engineering Courses Classification Models Courses

Course Description

Overview

  • Overview of Machine Learning: Familiarize yourself with machine learning concepts and the course.
  • Classification Workflow: Build a simple model to perform a classification task.
  • Importing and Preprocessing Data: Import data from multiple files.
  • Engineering Features: Calculate features from raw signals.
  • Classification Models: Train and use Machine Learning models to make predictions.
  • Conclusion: Learn next steps and give feedback on the course.

Syllabus

  • What is Machine Learning
  • Overview
  • Import Data
  • Process Data
  • Extract Features
  • Build a Model
  • Evaluate the Model
  • Review
  • Organization of Data Files
  • Creating Datastores
  • Adding a Data Transformation
  • Types of Signals
  • Calculating Summary Statistics
  • Finding Peaks
  • Computing Derivatives
  • Calculating Correlations
  • Automating Feature Extraction
  • Training and Testing Data
  • Machine Learning Models
  • Training a Model
  • Making Predictions
  • Investigating Misclassifications
  • Improving the Model
  • Additional Resources
  • Survey

Taught by

Matt Tearle

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent