4.2 Read 93 reviews
Overview
In this Deploying Machine Learning Models offered by Coursera course in partnership with UC San Diego we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products.
Key facts
- 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.
What you will learn
- Project structure of interactive Python data applications
- Python web server frameworks: (e.g.) Flask, Django, Dash
- Best practices around deploying ML models and monitoring performance
- Deployment scripts, serializing models, APIs
Programme Structure
Courses include:
- Implementing Recommender Systems
- Deploying Recommender Systems
- Recommender System
- Capstone
Key information
Duration
- Part-time
- 21 days
- 3 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Human Computer Interaction Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- To obtain additional information about the program, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Improve page content