Make Home|Add to Favorites
 
 
Solisearch.net » Tutorials » Building Recommender Systems with Machine Learning and AI (2019)

Building Recommender Systems with Machine Learning and AI (2019)
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | Duration: 9h 4m
Genre: eLearning | Language: English + Sub | Size: 1,6 GB



"Building Recommender Systems with Machine Learning and AI (2019)"

HI-SPEED DOWNLOAD
Free 300 GB with Full DSL-Broadband Speed!



Building Recommender Systems with Machine Learning and AI (2019)
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | Duration: 9h 4m
Genre: eLearning | Language: English + Sub | Size: 1,6 GB





Automated recommendations are everywhere: Netflix, Amazon, YouTube, and more. Recommender systems learn about your unique interests and show the products or content they think you'll like best. Discover how to build your own recommender systems from one of the pioneers in the field. Frank Kane spent over nine years at Amazon, where he led the development of many of the company's personalized product recommendation technologies. In this course, he covers recommendation algorithms based on neighborhood-based collaborative filtering and more modern techniques, including matrix factorization and even deep learning with artificial neural networks. Along the way, you can learn from Frank's extensive industry experience and understand the real-world challenges of applying these algorithms at a large scale with real-world data. You can also go hands-on, developing your own framework to test algorithms and building your own neural networks using technologies like Amazon DSSTNE, AWS SageMaker, and TensorFlow.
Topics include:
Top-N recommender architectures
Types of recommenders
Python basics for working with recommenders
Evaluating recommender systems
Measuring your recommender
Reviewing a recommender engine framework
Content-based filtering
Neighborhood-based collaborative filtering
Matrix factorization methods
Deep learning basics
Applying deep learning to recommendations
Scaling with Apache Spark, Amazon DSSTNE, and AWS SageMaker
Real-world challenges and solutions with recommender systems
Case studies from YouTube and Netflix
Building hybrid, ensemble recommenders
Homepage

Screenshots

Building Recommender Systems with Machine Learning and AI (2019)



Buy Premium Account for Download With Full Speed:

rapidgator_net:
https://rapidgator.net/file/306e685d4509ed139b44f16999cf9440
https://rapidgator.net/file/ab7689af6666a97e3a2d9e1606dbc406

uploadgig_com:
https://uploadgig.com/file/download/762ef1Ae95B260bd/Building_Recommender_Systems_with_Machine_Learning_and_AI.part1.rar
https://uploadgig.com/file/download/9e6B4b4759958bDa/Building_Recommender_Systems_with_Machine_Learning_and_AI.part2.rar


Links are Interchangeable - No Password - Single Extraction

P A S S W O R D    P R O T E C T E D ! 
PASSWORD WILL BE PUBLISHED HERE TOMORROW!
 PLEASE ADD PAGE TO YOUR FAVORITS

Free 300 GB with 10 GB High-Speed(No Password BACKUP)


Hide Your IP & Protect Your Privacy!
Get Your 15 Day Free Trial Now.


Tags: Building, Recommender, Systems, with, Machine, Learning

Building Recommender Systems with Machine Learning and AI (2019) Fast Download via Rapidshare Upload Filehosting Megaupload, Building Recommender Systems with Machine Learning and AI (2019) Torrents and Emule Download or anything related.
Information
Comment on the news site is possible only within (days) days from the date of publication.