Artificial Intelligence Foundations: Machine Learning

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Doug Rose

1:17:49

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01 - Introduction

01 - Welcome.mp4

01:45

02 - 1. What Is Machine Learning

01 - What it means to learn.mp4

04:02

02 - Work with data.mp4

03:51

03 - Apply machine learning.mp4

03:56

04 - Different types of machine learning.mp4

03:50

03 - 2. Different Ways a Machine Learns

01 - Supervised.mp4

03:52

02 - Unsupervised.mp4

04:13

03 - Semi-supervised.mp4

04:23

04 - Reinforcement.mp4

04:16

04 - 3. Popular Machine Learning Algorithms

01 - Problems that use machine learning.mp4

03:53

02 - Decision trees.mp4

04:21

03 - k-nearest neighbor.mp4

04:28

04 - K-mean clustering.mp4

04:36

05 - Regression.mp4

04:16

06 - Naive Bayes.mp4

04:40

05 - 4. Applying Algorithms

01 - Follow the data.mp4

04:28

02 - Fit the data.mp4

03:32

03 - Select the best algorithm.mp4

03:53

06 - 5. Common Challenges

01 - Machine learning challenges.mp4

04:13

07 - Conclusion

01 - Next steps.mp4

01:21

Description

Machine learning is one of the liveliest areas in artificial intelligence. Machine learning algorithms allow computers to learn new things without being programmed. They use statistics as a way to better understand the massive amounts of data that we create every day. These newer algorithms help machines classify images, sounds, and videos. They can answer our questions, discover new drugs, and even write songs. In this course, we review the definition and types of machine learning: supervised, unsupervised, and reinforcement. Then you can see how to use popular algorithms such as decision trees, clustering, and regression analysis to see patterns in your massive data sets. Finally you can learn about some of the pitfalls when starting out with machine learning.

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Machine Learning

Artificial Intelligence

Doug Rose

Instructor's Courses

Doug Rose specializes in organizational coaching, training and change management. He’s worked over twenty years transforming organizations with technology and training. He’s helped several large companies optimize their business processes and improve productivity and delivery. Some of these companies include The Home Depot, UPS, AutoTrader, Raytheon, PayChex and Genentech. He also teaches several business and project management courses. You can attend his lively and engaging courses at the University of Chicago. You can also take his business courses online and available through LinkedIn Learning. He has received a Master’s Degree in Information Management and a Law Degree from Syracuse University, and a BA from the University of Wisconsin - Madison. Doug is the founder of Doug Enterprises, an organization with an office in whatever city he lives. Currently that’s in Atlanta, Georgia.

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.