Deploying Machine Learning Models
- Offered byCoursera
Deploying Machine Learning Models at Coursera Overview
Duration | 11 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Deploying Machine Learning Models at Coursera Highlights
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Deploying Machine Learning Models at Coursera Course details
- 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.
Deploying Machine Learning Models at Coursera Curriculum
Introduction
Introduction to Recommender Systems
Recommender Systems versus Other Forms of Supervised Learning
Collaborative Filtering-Based Recommendation
Latent Factor Models (Part 1)
Latent Factor Models (Part 2)
Syllabus
Course Materials
Setting Up Your System
Review: Recommender Systems
Review: Introduction to Latent Factor Models
Recommender Systems and Latent Factor Models
Implementing Recommender Systems
Implementing a Similarity-Based Recommender
Similarity-Based Recommender for Rating Prediction
Implementing a Latent Factor Model (Part 1)
Implementing a Latent Factor Model (Part 2)
Review: Similarity-Based Recommenders
Review: Implementing Latent Factor Models
Implementing Recommender Systems
Deploying Recommender Systems
Intro to Web Server Frameworks (in Python)
Intro to Django
Flask
Setting up Your Workspace with Docker: Django
Review: Flask and Django
Deploying Recommender Systems
Project 4: Recommender System
Project Description
How to Find a Dataset
Capstone
Description of Capstone Tasks
Capstone Overview
Other courses offered by Coursera
Student Forum
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