Tag: Recommendation

Multimedia Services in Intelligent Environments Recommendation Services


Free Download Multimedia Services in Intelligent Environments: Recommendation Services By George A. Tsihrintzis, Maria Virvou (auth.), George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain (eds.)
2013 | 181 Pages | ISBN: 3319003747 | PDF | 5 MB
Multimedia services are now commonly used in various activities in the daily lives of humans. Related application areas include services that allow access to large depositories of information, digital libraries, e-learning and e-education, e-government and e-governance, e-commerce and e-auctions, e-entertainment, e-health and e-medicine, and e-legal services, as well as their mobile counterparts (i.e., m-services). Despite the tremendous growth of multimedia services over the recent years, there is an increasing demand for their further development. This demand is driven by the ever-increasing desire of society for easy accessibility to information in friendly, personalized and adaptive environments. In this book at hand, we examine recent Recommendation Services. Recommendation services appear in the mobile environment, medicine/biology, tourism, education, and so on. The book includes ten chapters, which present various recently developed recommendation services.This research book is directed to professors, researchers, application engineers and students of all disciplines who are interested in learning more about recommendation services, advancing the corresponding state of the art and developing innovative recommendation services.

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Building Production Recommendation Systems in Python and JAX (Early Release)


Free Download Building Production Recommendation Systems in Python and JAX (Early Release)
English | 2023 | ISBN: 9781492097983 | 107 pages | PDF | 6.64 Mb
Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way.

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Building a Recommendation System with Python Machine Learning and AI


Free Download Building a Recommendation System with Python Machine Learning and AI
Released: 07/2024
Duration: 1h 39m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 175 MB
Level: Intermediate | Genre: eLearning | Language: English
Discover how to use Python-and some essential machine learning concepts-to build programs that can make recommendations. In this hands-on course, Lillian Pierson, P.E. covers the different types of recommendation systems out there, and shows how to build each one. She helps you learn the concepts behind how recommendation systems work by taking you through a series of examples and exercises. Once you’re familiar with the underlying concepts, Lillian explains how to apply statistical and machine learning methods to construct your own recommenders. She demonstrates how to build a popularity-based recommender using the Pandas library, how to recommend similar items based on correlation, and how to deploy various machine learning algorithms to make recommendations. At the end of the course, she shows how to evaluate which recommender performed the best.

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Recommendation Systems A Practical Introduction


Free Download Recommendation Systems A Practical Introduction
Released 1/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 1h 18m | Size: 159 MB
Recommendation systems are among the most profitable artificial intelligence solutions you can deploy, for the simple fact that they can understand what people want amid a seemingly endless number of options. Anytime you buy-or browse-online, there are probably recommendation systems at work presenting you with options at each step. In this course, Miguel González-Fierro teaches some of the techniques used for building, deploying, and testing recommenders. He offers practical, real-world examples to show how you can make a direct impact with recommendation systems, whether you’re a data scientist, machine learning engineer, data engineer, software engineer, or data analyst. Join Miguel in this course to get started building your first recommender and see how high it can boost your metrics.

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Building Recommendation Systems in Python and JAX Hands-On Production Systems at Scale


Free Download Building Recommendation Systems in Python and JAX: Hands-On Production Systems at Scale by Bryan Bischof Ph.D, Hector Yee
English | January 30th, 2024 | ISBN: 1492097993 | 400 pages | True EPUB | 9.10 MB
Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way.

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A Book of Lives (Poetry Book Society Recommendation)


Free Download Edwin Morgan, "A Book of Lives (Poetry Book Society Recommendation)"
English | 2007 | pages: 96 | ISBN: 185754918X | EPUB | 0,2 mb
Containing poems written by Edwin Morgan during the past six years, this collection looks at human life from a variety of perspectives, encompassing a range of themes, the foremost of which is history. This new work displays the author’s characteristic willingness to experiment with a variety of subjects, from the history of cancer to the new Scottish parliament.

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Building Production Recommendation Systems in Python and JAX (Seventh Early Release)


Free Download Building Production Recommendation Systems in Python and JAX (Seventh Early Release)
English | 2023 | ISBN: 9781492097983 | 154 Pages | MOBI EPUB (True) | 11 MB
Implementing and designing systems that make suggestions to users are among the most popular and essential machine learning applications available. Whether you want customers to find the most appealing items at your online store, videos to enrich and entertain them, or news they need to know, recommendation systems (RecSys) provide the way.

(more…)