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: Deep Reinforcement Learning in Action
: Alexander Zai, Brandon Brown
: Manning Publications
: 2020
: True PDF
: 384
: 17,3 Mb
: English

Humans learn best from feedbackwe are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques youll need to implement it into your own projects.
: vitvikvas 14-07-2022, 08:28 | : 0 |
: Runtime Verification: A Hands-On Approach in Java
: Christian Colombo, Gordon J. Pace
: Springer
: 2022
: True PDF
: 209
: 10 Mb
: English

This book provides a hands-on introduction to runtime verification which guides the reader from zero to sufficient practical knowledge required to consider and apply it in industry. It starts with almost no assumptions on the knowledge of the reader and provides exercises throughout the book through which the reader builds their own runtime verification tool. All that is required are basic programming skills and a good working knowledge of the object-oriented paradigm, ideally Java.
: vitvikvas 14-07-2022, 02:28 | : 0 |
: Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective
: Setareh Rafatirad, Houman Homayoun, Zhiqian Chen, Sai Manoj Pudukotai Dinakarrao
: Springer
: 2022
: True PDF
: 465
: 12,1 Mb
: English

This textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adversarial neural networks and graph convolution networks. Most importantly, this book helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a problem they wish to solve. In addition, this book includes numerous case studies, ranging from simple time-series forecasting to object recognition and recommender systems using massive databases. Lastly, this book also provides practical implementation examples and assignments for the readers to practice and improve their programming capabilities for the ML applications.
: vitvikvas 13-07-2022, 06:51 | : 0 |
: Generic Data Structures and Algorithms in Go: An Applied Approach Using Concurrency, Genericity and Heuristics
: Richard Wiener
: Apress
: 2022
: True PDF
: 590
: 11,2 Mb
: English

Advance your understanding of generic data structures and algorithms and their applications using Go and the effective use of concurrency. You are invited on a journey that aims to improve your programming and problem-solving skills. This book takes you to the next step by showing how to get your programs to work efficiently as well as correctly.
As you explore many data structures and the algorithms and applications associated with them, you'll focus on the trade-offs between speed and storage and the benefits of deploying concurrency when appropriate. This book will demonstrate the huge increases in application performance that are possible. The presentation of classic data structures and techniques of algorithm design (greedy, divide and conquer, branch-and-bound to name a few) provides an essential foundation and toolkit for problem solving. But this book goes further by presenting heuristic algorithms and their implementations for solving computationally intractable combinatoric optimization problems such as the travelling salesperson problem. Ant colony optimization and simulated annealing are among the techniques used.
: vitvikvas 13-07-2022, 06:07 | : 0 |
: Computational Framework for the Finite Element Method in MATLAB and Python
: Pavel Sumets
: CRC Press
: 2023
: True PDF
: 182
: 10 Mb
: English

Computational Framework for the Finite Element Method in MATLAB and Python aims to provide a programming framework for coding linear FEM using matrix-based MATLAB language and Python scripting language. It describes FEM algorithm implementation in the most generic formulation so that it is possible to apply this algorithm to as many application problems as possible. Readers can follow the step-by-step process of developing algorithms with clear explanations of its underlying mathematics and how to put it into MATLAB and Python code. The content is focused on aspects of numerical methods and coding FEM rather than FEM mathematical analysis. However, basic mathematical formulations for numerical techniques which are needed to implement FEM are provided. Particular attention is paid to an efficient programming style using sparse matrices.
: vitvikvas 13-07-2022, 05:53 | : 0 |
: Core Java for the Impatient, 3rd Edition
: Cay S. Horstmann
: Addison-Wesley Professional
: 2022
: ePUB
: 672
: 16 Mb
: English

Modern Java introduces major enhancements that impact the core Java technologies and APIs at the heart of the Java platform. Many old Java idioms are no longer needed and new features such as modularization make you far more effective. However, navigating these changes can be challenging. Core Java for the Impatient, Third Edition, is a complete yet concise guide that includes all the latest changes through Java 17. Written by Cay S. Horstmann--primary author of the classic two-volume Core Java--this indispensable tutorial offers a faster, easier pathway for learning modern Java.
: vitvikvas 12-07-2022, 22:35 | : 0 |
: Programming C# 10
: Ian Griffiths
: OReilly Media
: 2022
: ePUB
: 10 Mb
: English

C# is undeniably one of the most versatile programming languages available to engineers today. With this comprehensive guide, you'll learn just how powerful the combination of C# and .NET can be. Author Ian Griffiths guides you through C# 10.0 and .NET 6 fundamentals and techniques for building cloud, web, and desktop applications.
: vitvikvas 12-07-2022, 22:18 | : 0 |
: Tidy Modeling with R
: Max Kuhn and Julia Silge
: OReilly Media
: 2022
: ePUB
: 18,5 Mb
: English

Models can be used in almost any domain for purposes including prediction, inference, or simply describing data. In all these cases, the predictive capacity of a model can be used to evaluate it, and we can build better, more useful models by adhering to good statistical practice. The tidymodels framework harmonizes the heterogeneous model interfaces in R and offers a consistent, flexible framework for modeling suitable for beginners as well as the very experienced.
This book provides a practical introduction to how to use R software to create models, focusing on a dialect of the R programming language called the tidyverse. Software that adopts tidyverse principles shares a high-level design philosophy and low-level grammar and data structures, so learning one piece of the ecosystem makes it easier to learn the next. The tidymodels framework for modeling is built to be easily understood and used by a broad range of people
: vitvikvas 12-07-2022, 21:55 | : 0 |
: Ansible: Up and Running, 3rd Edition
: Bas Meijer, Lorin Hochstein, and Rene Moser
: OReilly Media
: 2022
: ePUB
: 12 Mb
: English

Among the many configuration management tools available, Ansible has some distinct advantages: It's minimal in nature. You don't need to install anything on your nodes. And it has an easy learning curve. With this updated third edition, you'll quickly learn how to be productive with this tool, whether you're a developer deploying code to production or a system administrator looking for a better automation solution.
: vitvikvas 12-07-2022, 21:31 | : 0 |

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: 2022
: pdf
: 199
: 15 mb
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: na5ballov 12-07-2022, 16:01 | : 0 |

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