Skip to content
Write a review
CourseraArtificial IntelligenceFree courseCertificate

Deploying Machine Learning Models

Python data products are powering the AI revolution. Top companies like Google, Facebook, and Netflix use predictive analytics to improve the products and services we use every day. Take your Python skills to the next level and learn to make accurate predictions with data-driven systems and deploy machine learning models with this four-course Specialization from UC San Diego.This Specialization is for learners who are proficient with the basics of Python. You'll start by creating your first data strategy. You'll also develop statistical models, devise data-driven workflows, and learn to make m

2.7
3 reviews

Created by: Ilkay Altintas

icon
Course 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.
Read More product length iconTime: 12h

icon
Instructor Details

placeholder

Ilkay Altintas is the Chief Data Science Officer at the San Diego Supercomputer Center (SDSC), UC San Diego, where she is also the Founder and Director for the Workflows for Data Science Center of Excellence. Since joining SDSC in 2001, she has in the areas of computational data science and e-Sciences at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, observatory systems, conceptual data querying, and software modeling. She is a co-initiator of and an active contributor to the popular open-source Kepler Scientific Workflow System. Ilkay Altintas received her Ph.D. degree from the University of Amsterdam in the Netherlands.

Read More

icon
More courses by Ilkay Altintas

Free

Free

Free

All courses by Ilkay Altintas

icon
More Artificial Intelligence courses

Free

Free

Free

Free

$79.99

Free

All Artificial Intelligence courses

icon
Reviews

2.7

3 reviews in total

Select a bar to show only those reviews.Select the bar again to show every rating.

Write a review

By Murzakhmetov S on 24-Oct-19

Awful course, garbage content and no any peers to check your work

By Arnaldo G d A e S on 3-Oct-19

This course is more about Reccommender Systems than deployment of models. Actually, there's just a few classes about model deployment, but no practical exercises. However, the Reccommender Systems classes are good for beginners. The teachers are good as well.

By Oriol P M on 18-Sep-19

.......

Showing all 3 reviews

icon
Quality Score

No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 54 / 100

Deploying Machine Learning Models
Visit course on Coursera Write a review
  • Video Duration: icon 12h
  • Price: Free
  • Provider: icon Coursera
  • University: icon University of California San Diego
  • Language: icon English
  • Certificate: icon Yes

Coursera Coupon Price Tracker

Udemy price history

For any issues or feature requests please email CourseDuck's Co-Founder at mkuhlman12@gmail.com