Zion Tech Group

Tag: Recommendation

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

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


    Price: $79.99 – $33.88
    (as of Dec 18,2024 07:20:14 UTC – Details)


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    Oreilly

    Oreilly

    Sharing the knowledge of experts

    O’Reilly’s mission is to change the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

    Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

    Publisher ‏ : ‎ O’Reilly Media; 1st edition (January 30, 2024)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 400 pages
    ISBN-10 ‏ : ‎ 1492097993
    ISBN-13 ‏ : ‎ 978-1492097990
    Item Weight ‏ : ‎ 1.24 pounds
    Dimensions ‏ : ‎ 7 x 0.74 x 9.19 inches


    If you are interested in learning how to build powerful recommendation systems in Python and JAX, then this post is for you. In this hands-on guide, we will walk you through the process of building recommendation systems that can handle large-scale production systems.

    We will start by introducing you to the basics of recommendation systems and how they work. Then, we will dive into the world of Python and JAX, two powerful programming languages that are widely used in building recommendation systems.

    Next, we will show you how to build recommendation systems from scratch using Python and JAX. We will cover topics such as data preprocessing, model building, and evaluation techniques.

    Finally, we will explore how to deploy recommendation systems in production environments and scale them to handle large amounts of data. We will discuss best practices for building robust and efficient recommendation systems that can handle real-world use cases.

    By the end of this post, you will have a solid understanding of how to build recommendation systems in Python and JAX, and be ready to tackle your own production systems at scale. So, let’s get started!
    #Building #Recommendation #Systems #Python #JAX #HandsOn #Production #Systems #Scale

  • Deep Learning for Matching in Search and Recommendation (Foundations and Trends(r) in Information Retrieval)

    Deep Learning for Matching in Search and Recommendation (Foundations and Trends(r) in Information Retrieval)


    Price: $99.00 – $90.81
    (as of Dec 18,2024 02:21:16 UTC – Details)




    Publisher ‏ : ‎ Now Publishers (July 14, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 200 pages
    ISBN-10 ‏ : ‎ 1680837060
    ISBN-13 ‏ : ‎ 978-1680837063
    Item Weight ‏ : ‎ 11.2 ounces
    Dimensions ‏ : ‎ 6.14 x 0.43 x 9.21 inches


    Deep Learning for Matching in Search and Recommendation

    In the world of information retrieval, the ability to accurately match user queries with relevant content is crucial for providing a seamless and personalized user experience. Traditional methods of matching have often relied on hand-crafted features and rules, but deep learning approaches have shown great promise in improving the accuracy and efficiency of matching algorithms.

    “Deep Learning for Matching in Search and Recommendation” is a comprehensive guide that explores the foundations and trends of using deep learning techniques for improving matching in search and recommendation systems. This book delves into the various deep learning models and architectures that have been successfully applied to matching tasks, such as neural networks, convolutional neural networks, and recurrent neural networks.

    The authors provide a detailed overview of the theoretical underpinnings of deep learning for matching, as well as practical guidance on how to implement and optimize deep learning models for search and recommendation applications. They also discuss the challenges and limitations of using deep learning for matching, and offer insights into future research directions in this exciting field.

    Whether you are a researcher, practitioner, or student interested in the intersection of deep learning and information retrieval, “Deep Learning for Matching in Search and Recommendation” is a must-read resource that will deepen your understanding of the latest advancements in this rapidly evolving field.
    #Deep #Learning #Matching #Search #Recommendation #Foundations #Trendsr #Information #Retrieval

  • Building Recommendation Systems in Python & Jax… By Bryan Bischof & Hector Yee

    Building Recommendation Systems in Python & Jax… By Bryan Bischof & Hector Yee



    Building Recommendation Systems in Python & Jax… By Bryan Bischof & Hector Yee

    Price : 25.01

    Ends on : N/A

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    Are you looking to build powerful recommendation systems in Python using cutting-edge technologies like Jax? Look no further! In our latest post, Bryan Bischof and Hector Yee will guide you through the process of creating state-of-the-art recommendation systems using Python and Jax.

    From understanding the basics of recommendation systems to implementing advanced algorithms, this post will cover everything you need to know to build highly accurate and efficient recommendation systems. Whether you’re a beginner looking to get started or an experienced developer looking to up your game, this post is for you.

    So don’t wait any longer, join Bryan Bischof and Hector Yee on this exciting journey of building recommendation systems in Python & Jax. Let’s revolutionize the way recommendations are made! Stay tuned for more updates and insights in our upcoming posts.
    #Building #Recommendation #Systems #Python #Jax.. #Bryan #Bischof #Hector #Yee

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