Machine Learning: Executive Briefing
Offered By: Pluralsight
Course Description
Overview
A practical, pragmatic, jargon-free introduction to Machine Learning. Quickly cover the most important ideas and concepts — and learn approaches and techniques to apply Machine Learning in your own career.
Tech leaders need a fundamental understanding of the tools and technologies their teams use to build solutions. This course, Machine Learning: Executive Briefing, takes a fast-paced, practical, and pragmatic approach to Machine Learning. First, we'll explore common cliches around Machine Learning and how they get in the way of learning. Next, you'll get clear on the most important jargon and terminology you need to know. We'll then cover the steps and sequence of developing a Machine Learning application, Finally, you will explore the most common practical applications of Machine Learning in real-world projects. When you’re finished with this course, you will have the skills and knowledge to help implement Machine Learning to support your product, team, or organization.
Tech leaders need a fundamental understanding of the tools and technologies their teams use to build solutions. This course, Machine Learning: Executive Briefing, takes a fast-paced, practical, and pragmatic approach to Machine Learning. First, we'll explore common cliches around Machine Learning and how they get in the way of learning. Next, you'll get clear on the most important jargon and terminology you need to know. We'll then cover the steps and sequence of developing a Machine Learning application, Finally, you will explore the most common practical applications of Machine Learning in real-world projects. When you’re finished with this course, you will have the skills and knowledge to help implement Machine Learning to support your product, team, or organization.
Syllabus
- Introduction: Solving New Kinds of Problems 13mins
- But What Is Machine Learning, Really? 8mins
- Training a Machine Learning Model 8mins
- The Marketplace of Machine Learning 9mins
Taught by
Simon Allardice
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