Machine Learning Internals

PT16784
Training Summary
This training course provides a deep dive into machine learning, datamining, and statistical pattern recognition. The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Prerequisites
There are no prerequisites for this course.
Duration
5 Days/Lecture & Lab
Audience
This course is designed for those seeking a deep dive into machine learning, datamining, and statistical pattern recognition.
Course Topics
Introduction
  • Machine Learning for Predictive Analytics
  • Data to Insights to Decisions
  • Data Exploration
  • Advanced Data Exploration
  • Information-based Learning
  • Similarity-based Learning
  • Probability-based Learning
  • Error-based Learning
  • Evaluation
  • Software Tools
  • Linear Regression
  • Logistic Regression
  • Generalized Linear Models and the Exponential Family
  • Directed Graphical Models (Bayes Nets)
  • Latent Linear Models
  • Kernels
  • Clustering
  • Introduction to Deep Learning

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