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  • Sách/Book

  • Online machine learning : a practical guide with examples in Python

    • Authors: Eva Bartz (2024)

  • This book already presents some tools that will facilitate the practice of OML in the future. A promising breakthrough is expected because practice shows that due to the large amounts of data that accumulate, the previous BML is no longer sufficient. OML is the solution to evaluate and process data streams in real-time and deliver results that are relevant for practice
  • Sách/Book

  • Java : the comprehensive guide

    • Authors: Christian Ullenboom (2024)

  • "This is the up-to-date, practical guide to Java you've been looking for! Whether you're a beginner, you're switching to Java from another language, or you're just looking to brush up on your Java skills, this is the only book you need. You'll get a thorough grounding in the basics of the Java language, including classes, objects, arrays, strings, and exceptions. You'll also learn about more advanced topics: threads, algorithms, XML, JUnit testing, and much more. This book belongs on every Java programmer's shelf!"
  • Sách/Book

  • Mark as downloadedDownloaded Java Web Application Details

    • Authors: Jim Studio (2024)

  • This book takes the development of network message board as the main line to integrate the JavaWeb knowledge, complete knowledge modules, and gradually enable students to fully grasp the JavaWeb development technology through static web pages, dynamic web pages, system framework and project practice. Static web page article mainly explains HTML, CSS, DIV, JavaScript and other basic knowledge.
  • Sách/Book

  • Java Programming Exercises

    • Authors: Christian Ullenboom. (2024)

  • In this second volume, you will dive into the intricacies of Java Standard Libraries. You will continue to raise your coding skills, and test your Java knowledge on tricky programming tasks, with the help of the pirate Captain CiaoCiao
  • Sách/Book

  • Introduction to Python : with applications in optimization, image and video processing, and machine learning

    • Authors: David Báez-López (2024)

  • "Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool. The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book"
  • Sách/Book

  • Java basics using ChatGPT/GPT-4

    • Authors: Oswald Campesato (2024)

  • "This book contains an introduction to Java that culminates with a fast-paced view of ChatGPT, during which you can compare the differences and similarities between hand-crafted Java code with ChatGPT-generated Java code. The combination of Java and ChatGPT offers a multi-dimensional approach to problem-solving in program-ming"
  • Sách/Book

  • Java Beginners To Advance: Beginners to Advance Java

    • Authors: Amit K (2024)

  • This book contains proven strategies to learn Java programming in a short time.In this book, you’ll be able to easily understand each line of code with added explanations and comments for each code. Are you interested in learning the ins and outs of backend development? Have you learned the basics of the Java computer programming language and want to take your learning further? Then you’ve picked up the right guide.
  • Sách/Book

  • Data structure using C : theory and program

    • Authors: Ahmad Talha Siddiqui; Shoeb Ahad Siddiqui (2024)

  • Data Structures is a central module in the curriculum of almost every Computer Science programme. This bookexplains different concepts of data structures using C. The topics discuss the theoretical basis of data structures as well as their applied aspects
  • Sách/Book

  • Python debugging for AI, machine learning, and cloud computing : a pattern-oriented approach

    • Authors: Dmitry Vostokov (2024)

  • This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs.
  • Sách/Book

  • Data Structure and Algorithm: Simply In Depth

    • Authors: Ajit Singh (2021)

  • The book is self-contained and does not assume any prior knowledge of data structures, just a comprehension of basic programming and mathematics tools generally learned at the very beginning of computer science or other related studies. Through this book I hope that you will see the absolute necessity of understanding which data structure or algorithm to use for a certain scenario. In all projects, especially those that are concerned with performance (here we apply an even greater emphasis on real-time systems) the selection of the wrong data structure or algorithm can be the cause of a great deal of performance pain. The chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs,...