Building Recommender Systems with Machine Learning and AI
Coupon Verified on November 13th, 2025
Course Name : Building Recommender Systems with Machine Learning and AI
Students : 47,246
Duration : 11.5 hrs & 43 downloadable resources
Avg Rating : 4.4 (3,115 ratings)
Original Price : $119.99
Discount Price : $9
Instructor / Provider : Frank Kane, Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code
Frequently Bought Together
What you’ll learn
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Understand and apply user-based and item-based collaborative filtering to recommend items to users
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Create recommendations using deep learning at massive scale
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Build recommendation engines with neural networks and Restricted Boltzmann Machines (RBM’s)
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Make session-based recommendations with recurrent neural networks and Gated Recurrent Units (GRU)
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Build a framework for testing and evaluating recommendation algorithms with Python
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Apply the right measurements of a recommender system’s success
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Build recommender systems with matrix factorization methods such as SVD and SVD++
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Apply real-world learnings from Netflix and YouTube to your own recommendation projects
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Combine many recommendation algorithms together in hybrid and ensemble approaches
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Use Apache Spark to compute recommendations at large scale on a cluster
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Use K-Nearest-Neighbors to recommend items to users
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Solve the “cold start” problem with content-based recommendations
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Understand solutions to common issues with large-scale recommender systems
Deal Score-2
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FAQs on Udemy Coupon
Are there any limitations to access udemy coupon Code?
Yes, Building Recommender Systems with Machine Learning and AI coupon code is valid for the first 1,000 enrollments or for 30 days, whichever comes first. After that, the coupon will expire.
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Can I get a refund for the Building Recommender Systems with Machine Learning and AI course, If I purchased with a coupon?
Yes, Udemy offers a 30-day money-back guarantee for all courses purchased on the website, even if you used a coupon to purchase the course.
