Building Recommender Systems with Machine Learning and AI free download

Building Recommender Systems with Machine Learning and AI will cover tried and true recommendation algorithms based on neighborhood-based collaborative filtering . Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon’s personalized product recommendation technologies . 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 in order to use this course successfully . The course is very hands-on; you’ll develop your own framework for evaluating and combining many different recommendation algorithms together . You’ll even build your own neural networks using Tensorflow to generate recommendations from real-world movie ratings .API quota exceeded. You can make 500 requests per day.

Who this course is for:

  • Software developers interested in applying machine learning and deep learning to product or content recommendations
  • Engineers working at, or interested in working at large e-commerce or web companies
  • Computer Scientists interested in the latest recommender system theory and research
File Name :Building Recommender Systems with Machine Learning and AI free download
Content Source:udemy
Genre / Category:Development
File Size :1.81 gb
Publisher :Sundog Education by Frank Kane
Updated and Published:03 Mar,2022
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File name: Building-Recommender-Systems-with-Machine-Learning-and-AI.rar
File Size:1.81 gb
Course duration:2 hours
Instructor Name:Sundog Education by Frank Kane , Frank Kane , Sundog Education Team
Language:English
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