Learning Path: Build Your Own Recommendation Engines
Predict the future by making the most of the data you have today!
With the progress in time, we do not have to rely on crystal balls any more to predict the future, we have data! Recommender Systems or Recommendation Engines serve as the modern day crystal balls, with the exception that all of their predictions are supported by data! Recommendations Engines are very common in these days and can be applied in a variety of applications.
In this Learning Path, you will be introduced to what a recommendation engine is, its applications. You will then learn to build recommender systems by using popular frameworks such as R, and Python.
The later part of the Learning Path will deal with various complex engineers such as personalized recommendation engines, real-time recommendation engines, SVD recommender systems. You will also get a quick glance into the future of the recommendations systems.
Table of Contents:
– Chapter 1: Building Practical Recommendations Engines – Part 1
– Chapter 2: Building Practical Recommendations Engines – Part 2
Manufacturer: Packt Publishing
Language of instruction: English
Teacher: Manasa Vk – Curator
Level of training: Elementary, Secondary
Time of training: 5 hours + 5 minutes
File size: 969 MB
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