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  1. Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring
    A short beginner’s guide to deep learning-based computer vision and abnormal sound detection
    Ankur Kumar

    This book is a quick foray into the world of deep learning-based computer vision and abnormal equipment sound detection. The readers are introduced to the ease with which powerful equipment and product quality monitoring solutions can be built using sound and visual data.

  2. The Problem Solver's Guide To Coding
    Master essential algorithms, basic data structures, and common programming techniques by solving coding challenges in C++
    Nhut Nguyen

    This book revolutionizes your programming skills with meticulously solved challenges, practical strategies, and expert insights. From beginners to pros, master complex problems, write clean code, and ace interviews. Elevate your coding prowess and become a true champion!

  3. Simple RESTful API design guidelines that make sense
    that Developers will (want to) use
    Michalis ARGYRIOU

    This book provides a cookbook of guidelines on designing beautiful (simple to use) and practical (simple to implement) RESTful API.

  4. Spring AI for Your Organization
    GCP Vertex AI Edition
    Muthukumaran Navaneethakrishnan

    I've always wanted to write a technical book. My interest in AI and Spring led me to explore, take notes, and contribute to the Spring AI project. This journey naturally progressed into sharing my knowledge through a book as my notes expanded. Spring AI for Your Organization offers a clear guide for integrating Spring AI with Google Vertex AI. It's ideal for both seasoned backend developers and newcomers, aiming to enhance your skills and understanding of AI in development. The book covers a range of topics from chatbots to advanced AI features, providing step-by-step instructions for using GCP Vertex AI. Dive into this comprehensive guide and start building smarter Spring applications today.

  5. P2P Networks
    Jakob Jenkov

    Peer-to-peer (P2P) networks are fascinating! P2P networks can scale to thousands, millions or even billions of individual peers collaborating without a central, coordinating entity. These peers can be run by individuals or organizations - each contributing resources towards the total capacity of the network. This book explores how!

  6. Defense Evasion In Linux
    Defeating File Integrity Monitoring
    Adhokshaj Mishra
    No Description Available
  7. Test in Infrastructure as Code
    Aldira Putra Raharja

    This book talk about leveraging more capabilities of Infrastructure as Code especially on testing. How to start writing test against IaC code, what to test, and sample use cases on how unit testing IaC code could lead to safer, and better operations process.

  8. Want to get started with competitive programming? Tired of reading cryptic code? Tired of not knowing which problems to solve next to improve? Not learning much from problems that you solve? ("Every problem looks so different :( ") We've got your back! This book is your jump-start guide into competitive programming!

  9. Scaling Simplified
    A Practitioner's Guide to Scaling Flow
    Prateek Singh

    If you are a large organization that has seen the benefits of Agile approaches on teams, you have either attempted to or talked about scaling Agile. Scaling has become synonymous with overburdened and cumbersome frameworks that create more problems than they solve. We need a simpler solution to the problem of scaling Agile.

  10. Data Mesh Architecture
    From the Engineering Perspective
    Dr. Simon Harrer, Larysa Visengeriyeva, and Jochen Christ

    Data Mesh is a sociotechnical approach that enables development teams to autonomously carry out data analysis. In this primer, we explain Data Mesh from the engineering perspective.

  11. Kotlin: An Illustrated Guide
    The fun way to learn Kotlin programming, one concept at a time!
    Dave Leeds

    Learn Kotlin programming the fun way, with oodles of illustrations and concrete explanations, in a book that steps through the concepts one at a time in order to help you build a solid mental model of the language. Whether you're new to Kotlin, or just looking to fill in some gaps of knowledge, Kotlin: An Illustrated Guide has got you covered!

  12. The Elements of Data Analytic Style (繁體中文版)
    對於想要分析資料的人來說,這是一個導引。
    Jeff Leek and TranslateAI
    No Description Available
  13. 현대의 오픈 소스 방식으로 과학자가 되는 방법에 대한 책입니다.

  14. Książka o tym, jak być naukowcem we współczesny, otwarto-źródłowy sposób.

  15. 關於如何以現代、開源方式成為科學家的書籍。