Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering. By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions.
Caio Taniguchi is taking this course right now, spending 2 hours a week on it and found the course difficulty to be very easy.
Very shallow course.
I had just finished Andrew Ng's Machine Learning class and was looking for something to continue to build my knowledge in ML when I bumped into this course. It looked very interesting, as it covered algorithms that were not explored...
Very shallow course.
I had just finished Andrew Ng's Machine Learning class and was looking for something to continue to build my knowledge in ML when I bumped into this course. It looked very interesting, as it covered algorithms that were not explored in Ng's course, like decision tree and random forests.
However, I was very disappointed when I found out that the actual class material expands very little on what is already written on the syllabus. It's an almost complete blackbox approach to the algorithms, with just some explanation of what is going on.
Most of your time in this course will be spent watching someone call functions X, Y, Z from libraries A and B to run the algorithm of the week, at best with some intuition of what goes in the blackbox and what comes out. And if something goes wrong, you'll have no idea why.
Skip this one, just read the syllabus and google the algorithms or watch youtube videos about them.
Anonymous completed this course.
I thought the course was a fantastic way to introduce these concepts, which are becoming more widely used for data analysis