Deep Learning Recommendation Algorithms with Python

We’ll cover tried and true recommendation algorithms based on neighborhood-based collaborative filtering, and work our way up to more modern techniques including matrix factorization and even deep learning with artificial neural networks. Along the way, you’ll learn from our extensive industry experience to understand the real-world challenges you’ll encounter when applying these algorithms at a large scale and with real-world data.

You’ve seen automated recommendations everywhere – on Netflix’s home page, on YouTube, and on Amazon as these machine learning algorithms learn about your unique interests and show the best products or content for you as an individual. These technologies have become central to the largest, most prestigious tech employers out there, and by understanding how they work, you’ll become very valuable to them.

We’ll cover tried and true recommendation algorithms based on neighborhood-based collaborative filtering, and work our way up to more modern techniques including matrix factorization and even deep learning with artificial neural networks.

Deep Learning Recommendation Algorithms with Python

Recommender systems are complex; don’t enroll in this course expecting a learn-to-code type format. There’s no recipe to follow on how to make a recommender system; you need to understand the different algorithms and how to choose when to apply each one for a given situation. We assume you already know how to code.

However, this course is very hands-on; you’ll develop your framework for evaluating and combining many different recommendation algorithms, and you’ll even build your neural networks using Tensorflow to generate recommendations from real-world movie ratings from real people.

This comprehensive course takes you from the early days of collaborative filtering to bleeding-edge applications of deep neural networks and modern machine-learning techniques for recommending the best items to every individual user.

The coding exercises in this course use the Python programming language. We include an intro to Python if you’re new to it, but you’ll need some prior programming experience to use this course successfully. We also include a short introduction to deep learning if you are new to the field of artificial intelligence, but you’ll need to be able to understand new computer algorithms.