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Learner Reviews & Feedback for Deploying Machine Learning Models by University of California San Diego

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About the Course

In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e.g. to predict ratings, or generate lists of related products), and you should understand the tools and techniques required to deploy such a working system on real-world, large-scale datasets. This course is the final course in the Python Data Products for Predictive Analytics Specialization, building on the previous three courses (Basic Data Processing and Visualization, Design Thinking and Predictive Analytics for Data Products, and Meaningful Predictive Modeling). At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization....
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1 - 15 of 15 Reviews for Deploying Machine Learning Models

By Arnaldo G

Oct 3, 2019

By Mansi P

May 15, 2020

By ilhaam S

Jul 1, 2020

By Lam C V D

Aug 30, 2020


Oct 5, 2020

By alfredo g

Oct 1, 2020

By oriol p

Sep 18, 2019

By Martin L

Dec 7, 2020

By J N B P

Aug 7, 2020

By Christian B

May 18, 2022

By Mauro M

Nov 26, 2021

By cherif g

May 28, 2020

By Eduardo A C

Apr 14, 2020

By Sanzhar M

Oct 24, 2019

By Kranthima E

Nov 15, 2020