Deploying Machine Learning Models
Python Data Products for Predictive Analytics,
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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| Rating | 2.6★ based on 3 ratings |
|---|---|
| Length | 6 weeks |
| Starts | Jun 26 (46 weeks ago) |
| Cost | $49 |
| From | University of California San Diego via Coursera |
| Instructors | Ilkay Altintas, Julian McAuley |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Science Data Analysis |
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What people are saying
check your work
Awful course, garbage content and no any peers to check your work This course is more about Reccommender Systems than deployment of models.
peers to check
deployment of models
good as well
The teachers are good as well.
any peers
for beginners
However, the Reccommender Systems classes are good for beginners.
garbage content
practical exercises
Actually, there's just a few classes about model deployment, but no practical exercises.
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Products Coordinator $53k
Products Demonstrator $56k
Digital Products $60k
Commercial Products $63k
Products Editor $71k
New Products $76k
Data/Partner Products Test Engineer $83k
Data Products Circuit Designer $107k
Products Engineer $112k
Data Products Engineer $118k
Engineering and Products $162k
Senior Data Products Engineer $165k
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| Rating | 2.6★ based on 3 ratings |
|---|---|
| Length | 6 weeks |
| Starts | Jun 26 (46 weeks ago) |
| Cost | $49 |
| From | University of California San Diego via Coursera |
| Instructors | Ilkay Altintas, Julian McAuley |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science |
| Tags | Data Science Data Analysis |
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