Machine Learning: an overview
Instructor: Marcello Restelli
Beginner Level • 2 hours to complete Recommended experience • Flexible Schedule
What You'll Learn
- Classify machine learning problems, supervised learning problems and describe the limitations of machine learning techniques in supervised learning
- Classify machine learning problems in unsupervised learning, describe the utility of dimensionality reduction techniques
- Formulate a sequential decision-making problem, explain what a value function is and describe how to optimize a policy in reinforcement learning
Skills You'll Gain
Algorithms
Supervised Learning
Regression Analysis
Classification And Regression Tree (CART)
Dimensionality Reduction
Data Mining
Applied Machine Learning
Machine Learning Algorithms
Unsupervised Learning
Machine Learning
Reinforcement Learning
Shareable Certificate
Earn a shareable certificate to add to your LinkedIn profile
Outcomes
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Learn new concepts from industry experts
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Gain a foundational understanding of a subject or tool
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Develop job-relevant skills with hands-on projects
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Earn a shareable career certificate
There are 3 modules in this course