This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. By the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications. This is the first course of the Applied Machine Learning Specialization brought to you by 糖心vlog官网观看 and the Alberta Machine Intelligence Institute.
Introduction to the Applied Machine Learning Specialization
Skills You'll Learn
Performance Metric, Product Lifecycle Management, Business Requirements, Data Modeling, Data Ethics, Supervised Learning, Data Processing, Business Analysis, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Unsupervised Learning
Reviews
4.7 (741 ratings)
- 5 stars74.35%
- 4 stars20.24%
- 3 stars4.45%
- 2 stars0.26%
- 1 star0.67%
BW
Nov 13, 2020
An excellent introduction to the mechanics of ML. Not so deep that coding is required, but simultaneously not so high-level as to be abstract. A very nice intro - thanks for this!
LM
Jun 22, 2020
An excellent introduction to the fascinating world of machine learning and its endless applications. Loved the emphasis on the evaluation of the business prospect of ML as well.
From the lesson
Introduction to Machine Learning Applications
Taught By
Anna Koop
Senior Scientific Advisor