Machine Learning for Data Science [Video]
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Free ChapterIntroduction
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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?
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Impacts, Importance and examples
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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
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How to apply Machine Learning for Data Science
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Conclusion
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.
- Publication date:
- October 2017
- Publisher
- Packt
- Duration
- 2 hours 41 minutes
- ISBN
- 9781788620758