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 star1.75%
TOP REVIEWS FROM MACHINE LEARNING FOUNDATIONS: A CASE STUDY APPROACH
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.
Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much
Good for a introductory course if someone is getting started with machine learning, but as part of an specialization i think is useless (for people who are planning to take all the specialization).
Very interesting course, many thanks to Emily and Carlos.
The approach in explaining materials was exactly what I was looking for in order to understand both applications and implementation of AI.
About the Machine Learning Specialization
Frequently Asked Questions
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