Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems?
This course is part of the Machine Learning Specialization
About this Course
Skills you will gain
- Python Programming
- Machine Learning Concepts
- Machine Learning
- Deep Learning
Syllabus - What you will learn from this course
Regression: Predicting House Prices
Classification: Analyzing Sentiment
Clustering and Similarity: Retrieving Documents
- 5 stars72.45%
- 4 stars20.98%
- 3 stars3.73%
- 2 stars1.07%
- 1 star1.74%
TOP REVIEWS FROM MACHINE LEARNING FOUNDATIONS: A CASE STUDY APPROACH
This course is very helpful for people who are novice in machine learning. The course uses Graphlab Create which is different from scikit or R-libraries, but the tool(Graphlab) is excellent to use.
The course was very informative but I face a lot of problems in installing Graphlab and Turicreate. I request the Mentors please use the Pandas data frame in place of SFrame. The mentors are cool.
With a funny and welcoming look and feel, this course introduces machine learning through a hands-on approach, that enables the student to properly understand what ML is all about. Very nicely done!
I was very disappointed with the exclusion of the final courses and the capstone project. The most interesting part of specialization no longer exists and no plausible justification has been given.
About the Machine Learning Specialization
Frequently Asked Questions
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