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Machine Learning for Data Science

Video Description

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

About This Video

  • explore the past and the future while touching on the importance, impacts and examples of Machine Learning for Data Science
  • To make sense of the Machine part of Machine Learning, we’ll explore the Machine Learning process
  • prepare you to begin your future journey into Machine Learning for Data Science after the course is complete

In Detail

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!

Table of Contents

  1. Chapter 1 : Introduction
    1. Course Promotion Video 00:02:00
    2. Thank you for investing in this Course! 00:00:50
    3. Course Overview 00:03:13
    4. Secret sauce inside!: How to get the most out of this course 00:03:57
  2. Chapter 2 : Core Concepts
    1. Core Concepts Overview 00:01:30
    2. Computer Science - the `Train Wreck' Definition 00:00:54
    3. What's Data / "I can see data everywhere!" 00:05:34
    4. Structured vs Unstructured Data 00:02:44
    5. Computer Science - Definition Revisited & The Greatest "lie" ever SOLD.... 00:11:03
    6. What's big data? 00:06:40
    7. What is Artificial Intelligence (AI) 00:11:58
    8. What is Machine Learning? - Part 1 - The ideas 00:11:07
    9. What is Machine Learning? - Part 2 - An Example 00:06:49
    10. What is data science? 00:05:06
    11. Recap & How do these relate to each other? 00:03:28
  3. Chapter 3 : Impacts, Importance and examples
    1. Impacts, Importance and examples – Overview 00:00:44
    2. Why is this important now? 00:07:15
    3. Computers exploding! - The explosive growth of computer power explained 00:13:24
    4. What problems does Machine Learning Solve? 00:04:29
    5. Where it's transforming our lives 00:09:16
  4. Chapter 4 : The Machine Learning Process
    1. The Machine Learning Process – Overview 00:01:15
    2. 5 Step Machine Learning Process Overview 00:01:54
    3. 1 - Asking the right question 00:02:49
    4. 2 - Identifying, obtaining, and preparing the right data 00:11:22
    5. 3 - Identifying and applying a ML Algorithm 00:11:09
    6. 4 - Evaluating the performance of the model and adjusting 00:04:05
    7. 5 - Using and presenting the model 00:01:58
  5. Chapter 5 : How to apply Machine Learning for Data Science
    1. How to apply Machine Learning for Data Science – Overview 00:00:32
    2. Where to begin your journey 00:00:58
    3. Common platforms and tools for Data Science 00:01:58
    4. Data Science using – R 00:01:58
    5. Data Science using – Python 00:02:27
    6. Data Science using SQL 00:01:50
    7. Data Science using Excel 00:01:45
    8. Data Science using RapidMiner 00:01:11
    9. Cautionary Tales 00:01:46
  6. Chapter 6 : Conclusion
    1. All done! What's next? 00:00:41