Machine Learning for Data Science [Video]

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Machine Learning for Data Science [Video]

David Valentine

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

Quick links: > What will you learn?> Table of content

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Video Details

ISBN 139781788620758
Course Length2 hours 41 minutes

Video Description

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 Machine Learning for Data Science! In this introductory course, the “Backyard Data Scientist” will guide you through wilderness of Machine Learning for Data Science. 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 Machine Learning for Data Science.... for you know - everyday people... like you!

Sign up right now, and we'll see you – on the other side!

Style and Approach

A 3 hour course that will help you to genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.

Table of Contents

Introduction
Course Promotion Video
Thank you for investing in this Course!
Course Overview
Secret sauce inside!: How to get the most out of this course
Core Concepts
Core Concepts Overview
Computer Science - the `Train Wreck' Definition
What's Data / "I can see data everywhere!"
Structured vs Unstructured Data
Computer Science - Definition Revisited & The Greatest "lie" ever SOLD....
What's big data?
What is Artificial Intelligence (AI)
What is Machine Learning? - Part 1 - The ideas
What is Machine Learning? - Part 2 - An Example
What is data science?
Recap & How do these relate to each other?
Impacts, Importance and examples
Impacts, Importance and examples – Overview
Why is this important now?
Computers exploding! - The explosive growth of computer power explained
What problems does Machine Learning Solve?
Where it's transforming our lives
The Machine Learning Process
The Machine Learning Process – Overview
5 Step Machine Learning Process Overview
1 - Asking the right question
2 - Identifying, obtaining, and preparing the right data
3 - Identifying and applying a ML Algorithm
4 - Evaluating the performance of the model and adjusting
5 - Using and presenting the model
How to apply Machine Learning for Data Science
How to apply Machine Learning for Data Science – Overview
Where to begin your journey
Common platforms and tools for Data Science
Data Science using – R
Data Science using – Python
Data Science using SQL
Data Science using Excel
Data Science using RapidMiner
Cautionary Tales
Conclusion
All done! What's next?

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

Table of Contents

Introduction
Course Promotion Video
Thank you for investing in this Course!
Course Overview
Secret sauce inside!: How to get the most out of this course
Core Concepts
Core Concepts Overview
Computer Science - the `Train Wreck' Definition
What's Data / "I can see data everywhere!"
Structured vs Unstructured Data
Computer Science - Definition Revisited & The Greatest "lie" ever SOLD....
What's big data?
What is Artificial Intelligence (AI)
What is Machine Learning? - Part 1 - The ideas
What is Machine Learning? - Part 2 - An Example
What is data science?
Recap & How do these relate to each other?
Impacts, Importance and examples
Impacts, Importance and examples – Overview
Why is this important now?
Computers exploding! - The explosive growth of computer power explained
What problems does Machine Learning Solve?
Where it's transforming our lives
The Machine Learning Process
The Machine Learning Process – Overview
5 Step Machine Learning Process Overview
1 - Asking the right question
2 - Identifying, obtaining, and preparing the right data
3 - Identifying and applying a ML Algorithm
4 - Evaluating the performance of the model and adjusting
5 - Using and presenting the model
How to apply Machine Learning for Data Science
How to apply Machine Learning for Data Science – Overview
Where to begin your journey
Common platforms and tools for Data Science
Data Science using – R
Data Science using – Python
Data Science using SQL
Data Science using Excel
Data Science using RapidMiner
Cautionary Tales
Conclusion
All done! What's next?

Video Details

ISBN 139781788620758
Course Length2 hours 41 minutes
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