Overview of Machine Learning Algorithms, Methods & Models

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In this course we will provide an overview of AI algorithms, models, and methods. We’ll get into concepts of classification, regression, and clustering including what they are and when to use each. We’ll also discuss different algorithms you can select when doing supervised, unsupervised, or reinforcement learning. This course will also provide you with an understanding of advanced and state-of-the-art AI methods. This intermediate level course is geared towards those putting AI into practice and implementing AI.

What Will I Learn?

  • Technical Definition of Machine Learning
  • ML Algorithms and ML Models
  • Classification, Regression, and Clustering
  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • The Curse of Dimensionality
  • Dimensionality Reduction
  • Neural Networks & Deep Learning
  • Decision Trees and Random Forests
  • Support Vector Machines and Bayesian Classifiers
  • K-Nearest Neighbors and K-Means
  • Ensemble Methods
  • Unsupervised ML Algorithms
  • Reinforcement Learning Algorithms

Who is this Training For?

  • Project Manager
  • Product Manager
  • Capability Manager
  • Technical Manager
  • Acquisitions Manager
  • Procurement & Contracting Officers
  • Computer Systems Programmer
  • Developer
  • AI Research Associate
  • Data Scientist
  • AI / Machine Learning (ML) Engineer
  • AI Assurance Engineer
  • Test & Evaluation Engineer
  • System Engineer
  • Network Analyst
  • Data Analyst
  • Operations Research Analyst
  • Deployment Engineer
  • Knowledge Operations Manager
  • Network Infrastructure Engineer
  • Information Technician
  • Data engineer
  • Network operations
  • Information technician
  • Data technician
  • Program manager
  • Project manager
  • Supply program manager
  • Designers

Supported Learning Paths

  • Cognilytica: CPMAI Certification
  • DoD JAIC: Drive AI, Create AI, Embed AI, Facilitate AI
  • Edison DSF: Data Science Professionals (DSP04 -DSP09), Data Engineering & Management Professionals (DSP10-DSP16)

Learning Levels

  • DoD JAIC AI: Intermediate (Applied) Level
  • Edison DSF: Level 4-5
  • Category: Implementing AI