1. DSpace at My University

Search

Filters:

BROWSE

Has File(s)

Search Results

Results 2741-2750 of 3054 (Search time: 0.192 seconds).
Item hits:
  • Sách/Book

  • Data-Centric Machine Learning with Python: the ultimate guide to engineering and deploying high-quality models based on good data

    • Authors: Jonas Christensen (2024)

  • Throughout the book, you'll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data. With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You'll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift.
  • Sách/Book

  • Java programming exercises

    • Authors: Christian Ullenboom. (2024)

  • "Take the first step in raising your coding skills to the next level and test your Java knowledge on tricky programming tasks with the help of the pirate Captain CiaoCiao in Java Programming Exercsises: Programming, the first of two volumes. Author and Java champion Christian Ullenboom provides you with everything you need: Exercises on features and tricks that you should know in detail as a professional, as well as intensive training for clean code and thoughtful design that carries even complex software."--
  • Sách/Book

  • Machine Learning Infrastructure and Best Practices for Software Engineers : Take Your Machine Learning Software from a Prototype to a Fully Fledged Software System

    • Authors: Miroslaw Staron Tác giả: Staron, Miroslaw (2024)

  • The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you'll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality.
  • Sách/Book

  • Machine learning for mobile communications

    • Authors: Sinh Cong Lam (2024)

  • "The book "Machine Learning for Mobile Communications" will take readers on a journey from the basic to advanced knowledge about mobile communications and machine learning. For basic levels, this book volume discusses a wide range of mobile communications topics from the system level such as system design, optimization to the user level such as power control, resource allocation. It also reviews state-of-art Machine Learning which is one of the biggest emerging trends for both academic and industrials. For the advanced level, this book provides knowledge about how to utilize Machine Learning to design and solve the problems of future mobile communications. It discusses solutions for long-term problems such as resource allocation, security, power control, and spectral efficiency. Thi...
  • Sách/Book

  • Python 3 and machine learning using ChatGPT/GPT-4

    • Authors: Oswald Campesato (2024)

  • "This book is designed to provide the reader with basic Python 3 programming and ChatGPT concepts related to machine learning. The first chapter provides a fast-paced introduction to Python, Pandas and JSON. The next two chapters introduce the fundamental concepts of machine learning. The fourth chapter transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including ChatGPT, GPT-4, and their competitors, are presented to give readers an understanding of the current AI landscape. Chapters five through eight cover uses of GPT-4 in machine learning including linear regression, classifiers, clustering and data visualization including DALL-E"
  • 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