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  Author: creativelivenew1   |   04 April 2024   |   comments: 0
How To Write Recommendation Letters – Power Tips and Phrases To Write Any Reference Letter
Free Download Shaun Fawcett, "How To Write Recommendation Letters - Power Tips and Phrases To Write Any Reference Letter"
English | 2013 | ASIN: B004NSUYI8 | EPUB | pages: 127 | 0.2 mb
How To Write Recommendation Letters - Power Tips and Phrases To Write Any Reference Letter.

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  Author: creativelivenew1   |   04 April 2024   |   comments: 0
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 30, 2024 | ISBN: 1492097993 | 400 pages | MOBI | 5.31 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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  Author: creativelivenew1   |   13 March 2024   |   comments: 0
Artificial Intelligence and Data Science in Recommendation System Current Trends, Technologies and Applications
Free Download Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications by Abhishek Majumder, Joy Lal Sarkar, Arindam Majumder
English | August 16, 2023 | ISBN: 9815136755 | 317 pages | MOBI | 10 Mb
Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications captures the state of the art in usage of artificial intelligence in different types of recommendation systems and predictive analysis. The book provides guidelines and case studies for application of artificial intelligence in recommendation from expert researchers and practitioners. A detailed analysis of the relevant theoretical and practical aspects, current trends and future directions is presented.

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  Author: Baturi   |   04 February 2024   |   comments: 0
Recommendation Systems A Practical Introduction
Free Download Recommendation Systems A Practical Introduction
Released 1/2024
MP4 | Video: h264, 1280x720 | 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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  Author: creativelivenew1   |   29 December 2023   |   comments: 0
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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  Author: creativelivenew1   |   25 December 2023   |   comments: 0
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.

  • 0
  Author: Baturi   |   18 December 2023   |   comments: 0
Music Recommendation Backend with Spring Boot and Neo4j
Free Download Music Recommendation Backend with Spring Boot and Neo4j
Published 12/2023
Created by Marshall Takudzwa Chabanga
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 41 Lectures ( 19h 23m ) | Size: 12.8 GB

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  Author: Baturi   |   26 November 2023   |   comments: 0
Recommendation System & Recommendation Engine with Python
Free Download Recommendation System & Recommendation Engine with Python
Published 11/2023
Created by EDUCBA Bridging the Gap
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 40 Lectures ( 4h 59m ) | Size: 1.83 GB

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  Author: creativelivenew1   |   25 June 2023   |   comments: 0
Building Recommendation Systems in Python and JAX
Free Download Building Recommendation Systems in Python and JAX
English | 2023 | ISBN: 9781492097983 | 101 Pages | EPUB (True) | 8 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.

  • 0
  Author: Baturi   |   27 February 2023   |   comments: 0
Building a Recommendation System with Python Machine Learning & AI
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.
Duration: 1h 38m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 177 MB
Level: Intermediate | Genre: eLearning | Language: English
Free Download Building a Recommendation System with Python Machine Learning & AI

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