Deploying Machine Learning Models

Add to Favourites
1 1 1 1 1
Price: 2285 EUR 2285 EUR
Contact University of California, San Diego

More details about the program

Description

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.

Specific details

Category of Education Computer Sciense and IT

Comments (0)

There are no comments posted here yet

Leave your comments

Search

Related Programs

Many real-world problems are solved by a close-kni ...
One of the principal responsibilities of a data sc ...
The demand for skilled data science practitioners ...
This course will equip you to become a multi-skill ...

 

©2023 EDUCOM NET. All Rights Reserved.

If you find an inaccuracy or you have comments on the description of the university or program - please let us know info@educom.net