| Playing Time |
01h:18m:18s |
| Description |
data file rda |
| Note |
1/30/202412:00:00AM |
| Summary |
This course presents a practical introduction to recommender systems for data scientists, machine learning engineers, data engineers, software engineers, and data analysts. |
| Cast |
Presenter: Miguel González-Fierro |
| Summary |
Recommendation systems are among the most profitable artificial intelligence solutions you can deploy, for the simple fact that they can understand what people want amid a seemingly endless number of options. Anytime you buy-or browse-online, there are probably recommendation systems at work presenting you with options at each step. In this course, Miguel González-Fierro teaches some of the techniques used for building, deploying, and testing recommenders. He offers practical, real-world examples to show how you can make a direct impact with recommendation systems, whether you're a data scientist, machine learning engineer, data engineer, software engineer, or data analyst. Join Miguel in this course to get started building your first recommender and see how high it can boost your metrics. |
| System Details |
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. |
| Genre/Form |
Instructional films.
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Educational films.
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| Added Author |
linkedin.com (Firm)
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