July 2018
Intermediate to advanced
334 pages
8h 20m
English
To build a recommendation system, the approach we must take focuses on understanding recommendations at a conceptual level. Examples of questions providing insights into recommendations are as follows:
Whether you are an online retailer looking to make a recommendation engine work for you in profitable ways, or someone exploring Spark ML's powerful recommendation algorithms from up close, this section will get you started.
We will then zero in on suitable machine learning techniques that we can leverage to build a recommendation system.
Jeff Bezos, multi-billion dollar business, Amazon.com, continues to report healthy sales numbers. Recommendation ...
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