Machine Learning: Executive Briefing

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Simon Allardice

39:25

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01 - Introduction - Solving New Kinds of Problems

01 - How Anyone Can Write an Introduction to Machine Learning.mp4

02:43

02 - Thinking Clearly About Machine Learning.mp4

03:21

03 - Comparing Conventional Programming and Machine Learning.mp4

02:56

04 - Embracing Everyday Machine Learning Examples.mp4

04:06

02 - But What Is Machine Learning, Really

05 - Comparing Multiple Definitions of Machine Learning.mp4

02:02

06 - The Difference between AI and ML.mp4

04:54

07 - Writing a More Useful Working Definition of Machine Learning.mp4

01:05

03 - Training a Machine Learning Model

08 - Step 1 - Beginning with Existing Data.mp4

01:53

09 - Step 2 - Analyzing Data to Identify Patterns.mp4

01:53

10 - Exploring Machine Learning Platforms and Frameworks.mp4

02:57

11 - Making Predictions with a Trained Model.mp4

01:56

04 - The Marketplace of Machine Learning

12 - Understanding ML Classification Algorithms.mp4

01:25

13 - Exploring Regression in Machine Learning.mp4

02:08

14 - Comparing Supervised and Unsupervised Learning Algorithms.mp4

02:05

15 - Reviewing the Process - Where to Go from Here.mp4

04:01

Description

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.

What You'll Learn?

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.

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Machine Learning

Simon Allardice

Instructor's Courses

Simon is Creative Director and Principal Author at Pluralsight. With over three decades of software development experience, he's programmed in every discipline: from finance to transportation, nuclear reactors to game development. Prior to joining Pluralsight, Simon was the principal developer author at lynda.com. His first video course released back in 2002: since then, his popular courses have been viewed by hundreds of thousands of developers. His current focus is both on the new — the latest iOS and Mac development technologies — and on the old: fundamental computer science topics. He obsesses on making complicated subjects accessible, memorable, and easier to learn.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.