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Results 2751-2760 of 3054 (Search time: 0.201 seconds).
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  • 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,...
  • Sách/Book

  • Exercises in applied mathematics : with a view toward information theory, machine learning, wavelets, and statistical physics

    • Authors: Daniel Alpay (2024)

  • This text presents a collection of mathematical exercises with the aim of guiding readers to study topics in statistical physics, equilibrium thermodynamics, information theory, and their various connections. It explores essential tools from linear algebra, elementary functional analysis, and probability theory in detail and demonstrates their applications in topics such as entropy, machine learning, error-correcting codes, and quantum channels. The theory of communication and signal theory are also in the background, and many exercises have been chosen from the theory of wavelets and machine learning. Exercises are selected from a number of different domains, both theoretical and more applied.
  • Sách/Book

  • Modeling and optimization of signals using machine learning techniques

    • Authors: Chandra Singh (2024)

  • This book addresses the role of machine learning in transforming vast signal databases from sensor networks, internet services, and communication systems into actionable decision systems. It explores the development of computational solutions and novel models to handle complex real-world signals such as speech, music, biomedical data, and multimedia.
  • Sách/Book

  • Effective machine learning teams : best practices for ML practitioners

    • Authors: David Tan (2024)

  • "Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve your team's flow when building ML systems and products. Based on the authors' experience across multiple real-world data and ML projects, the proven techniques in this book will help your team avoid common traps in the ML world, so you can iterate and scale more quickly and reliably. You'll learn how...