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

Scientific Computing
University of Washington via Coursera Dynamical Modeling Methods for Systems Biology
Icahn School of Medicine at Mount Sinai via Coursera Elements of Structures
Massachusetts Institute of Technology via edX Analyse numérique pour ingénieurs
École Polytechnique Fédérale de Lausanne via Coursera Dynamics
Massachusetts Institute of Technology via edX