This is a very light & quick introduction to Recommendation Systems -- and, that's okay!
After learning what tools are available, I would personally recommend that a learner like myself (non CompSci major) updates their knowledge from a text book on the topic, and then revisit each of the techniques that are introduced in this course.
I don't believe there is a quick solve for learning the basics.
That's fine with me. I want to learn the foundation properly.
Recommendation Systems: A Practical Hands-On Introduction
With Miguel González-Fierro
Liked by 54 users
Duration: 1h 18m
Skill level: Advanced
Released: 1/30/2024
Course details
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.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
-
Showcase on your LinkedIn profile under “Licenses and Certificate” section
-
Download or print out as PDF to share with others
-
Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
-
Chandra E.
Chandra E.
Director of Data Science | 25+ Years in AI/ML, Project Leadership, and Customer-Centric Solutions | Proven Expertise in AI/ML Models, Customer…
-
-
Anastasiia Mykhailenko
Anastasiia Mykhailenko
Senior Data Scientist | PhD in Mathematics | Gambling Industry Innovator | Builder of Automated & Scalable Solutions | Passionate Mentor & Consultant
Contents
What’s included
- Learn on the go Access on tablet and phone
Download courses
Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.