Academy
HandsOn Machine Learning Courses
Practical Application of Machine Learning
The Basics
A 12 Day Course covering the basics of machine learning as applied to linear and networked assets:

Overview of Machine Learning as a Strategic Process

Data Preparation, Data Quality Assurance & Metrics

Statistical Analysis, Inferential Statistics

Hypothesis Testing, Confidence Intervals

Feature Analysis & Engineering, Genetic Algorithms

Math Fundamentals

Sampling Techniques, CrossValidation, Learning Curves

Linear Regression, BiasVariance TradeOff, Validation & Performance

Supervised Classification Methods, Shallow Learning, Deep Learning

Classification Validation, Confusion Matrices, ROC Curves

Using the Process & Results to Mitigate Unwanted Events

Overview of Technology Options

Learning Resources
Practical Application of Machine Learning
Your Use Case
A 12 Day Course leveraging content from the Basics Course with application to your specific use case. This course allows attendees to put into practice machine learning fundamentals with their data using open source machine learning technology.