Introduction to Machine Learning for Data Science
A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.
What you’ll 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!
Requirements
-
A passion to learn, and basic computer skills!
-
Students should understand basic high-school level mathematics, but Statistics is not required to understand this course.
Who this course is for:
- Before you load Python, Before you start R – you need this course. This introductory course will introduce you to the Fundamentals, that you need before you start getting “Hands on”.
- Anyone interested in understanding how Machine Learning is used for Data Science.
- Including business leaders, managers, app developers, consumers – you!
- Adventurous folks, whom are ready to strap themselves into the exotic world of Data Science and Machine Learning.
