YoVDO

Artificial Intelligence Foundations: Machine Learning

Offered By: LinkedIn Learning

Tags

Machine Learning Courses Supervised Learning Courses Unsupervised Learning Courses Reinforcement Learning Courses Semi-supervised Learning Courses Decision Trees Courses K-Nearest Neighbors Courses

Course Description

Overview

Learn about the machine learning lifecycle and the steps required to build systems in this hands-on course.

Syllabus

Introduction
  • Introduction to AI foundations: Machine learning course
  • Reviewing the course scenarios
1. Understanding Machine Learning
  • Exploring machine learning
  • Examining how machines learn
2. Implementing a Machine Learning Solution
  • Breaking down the machine learning lifecycle
  • Framing machine learning problems
  • Identifying a pre-built model
  • Understanding tools used to train a model
3. Preparing Data for Machine Learning
  • Obtaining data
  • Visualizing and understanding data
  • Understanding feature engineering
  • Demo: Performing feature engineering
4. Training a Machine Learning Model
  • Understanding learning algorithms and model training
  • Exploring learning algorithms for classification
  • Reviewing learning algorithms for regression
  • Examining additional learning algorithms
  • Training a custom machine learning model
  • Demo: Training a custom machine learning model
5. Evaluating Model Performance
  • Exploring common classification metrics
  • Understanding the confusion matrix
  • Exploring common regression metrics
  • Determining feature importance
  • Combating bias
6. Operationalizing a Machine Learning Pipeline
  • Structuring a machine learning pipeline
  • Demo: Designing and building a pipeline
Conclusion
  • Your machine learning journey

Taught by

Doug Rose

Related Courses

Machine Learning: Unsupervised Learning
Brown University via Udacity
Practical Predictive Analytics: Models and Methods
University of Washington via Coursera
Поиск структуры в данных
Moscow Institute of Physics and Technology via Coursera
Statistical Machine Learning
Carnegie Mellon University via Independent
FA17: Machine Learning
Georgia Institute of Technology via edX