Packt Publishing – Machine Learning for Data Science

MP4 | Video: AVC 1920×1080 | Audio: AAC 48KHz 2ch | Duration: 2 Hours 41M | 14.7 GB
Genre: eLearning | Language: English | Project Files

A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.

Thank you all for the huge response to this emerging course! We are delighted to have over 2300 students in over 102 different countries and for the overwhelmingly positive and thoughtful reviews. It’s such a privilege to share this important topic with everyday people in a clear and understandable way. Unlock the secrets of understanding ! In this introductory course, the “Backyard Data Scientist” will guide you through wilderness of . Accessible to everyone, this introductory course not only explains Machine Learning, but where it fits in the “techno sphere around us”, why it’s important now, and how it will dramatically change our world today and for days to come. So I invite you to join me, the Backyard Data Scientist on an exquisite journey into unlocking the secrets of …. for you know – everyday people… like you!

What You Will Learn

Genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.
To understand how these different domains fit together, how they are different, and how to avoid the marketing fluff.
The Impacts Machine Learning and Data Science is having on society.
To really understand computer technology has changed the world, with an appreciation of scale.
To know what problems Machine Learning can solve, and how the Machine Learning Process works.
How to avoid problems with Machine Learning, to successfully implement it without losing your mind!

Authors

David Valentine

Mr. David Valentine – The Backyard Data ScientistMr. David Valentine is a decorated Enterprise Architect with over seventeen years of experience in enterprise computing environments. He currently works for the Province of Manitoba, in Canada where he is a responsible for the architecture of the Server and Mainframe computer environment. Mr. Valentine has a passion for Data Science, Computer Science, Machine Learning and Data Science. As the “Backyard Data Scientist”, he bring his experience and ability to simplify challenging technical topics to Data Science. He’s delighted to offer the world his first course on the Udemy platform, “Machine Learning for Data Science”

Table of Contents

INTRODUCTION
CORE CONCEPTS
IMPACTS, IMPORTANCE AND EXAMPLES
THE MACHINE LEARNING PROCESS
HOW TO APPLY MACHINE LEARNING FOR DATA SCIENCE
CONCLUSION

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