Название: The Creative Programmer (MEAP v2)
Автор: Wouter Groeneveld
Издательство: Manning Publications
Год: 2022
Страниц: 212
Язык: английский
Формат: pdf, epub
Размер: 10.08 MB

Creativity is essential to being a successful programmer. The stories, examples, and groundbreaking research in this book will help you unleash your creative potential! In The Creative Programmer you’ll learn the processes and habits of successful creative individuals and discover how you can build creativity into your programming practice. This fascinating new book introduces the seven domains of creative problem solving and teaches practical techniques that apply those principles to software development. Hand-drawn illustrations, reflective thought experiments, and brain-tickling example problems help you get your creative juices flowing. You’ll soon be thinking up new and novel ways to tackle the big challenges of your projects. In software development, creative problem solving can be just as important as technical knowledge. A splash of creativity helps you break with conventional approaches that just aren’t working. And just like technical skills, creativity can be learned and improved by practice.

Название: Quick Python 3 (Quick Programming)
Автор: David Matuszek
Издательство: CRC Press
Год: 2023
Страниц: 129
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Are you a programmer who wants to get started quickly in a new language? This book is for you. Are you a novice who wants to learn to program? This book is not for you. Are you a Python programmer who needs encyclopaedic information? This book is not for you. Like any mainstream language, Python has loops, if statements, assignment statements, functions, etc. I’ll show you what these look like in Python. I won’t waste your time telling you what they’re good for. Python has features you may not be familiar with--iterators, list comprehensions, maybe even dictionaries. I’ll spend more time on these. I’ll cover some of the library functions I found most immediately useful, and tell you where to find more. In short, this book will help you hit the ground running. Next week, you’ll be ready to buy that Python encyclopaedia.

Название: Java Complete book
Автор: James Gary
Издательство: Independently published
Год: 2022
Страниц: 563
Язык: английский
Формат: epub
Размер: 10.1 MB

Java Complete book explains how to develop, compile, debug, and run Java programs. Best-selling programming author James Gary covers the entire Java language, including its syntax, keywords, and fundamental programming principles. You'll also find information on key portions of the Java API library, such as I/O, the Collections Framework, the stream library, and the concurrency utilities. Swing, JavaBeans, and servlets are examined and numerous examples demonstrate Java in action. Of course, the very important module system is discussed in detail.

Название: Practical Mathematics for AI and Deep Learning: A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning
Автор: Tamoghna Ghosh, Shravan Kumar Belagal Math
Издательство: BPB Publications
Год: 2023
Страниц: 477
Язык: английский
Формат: epub (true)
Размер: 21.3 MB

Mathematical Codebook to Navigate Through the Fast-changing AI Landscape. To construct a system that may be referred to as having ‘Artificial Intelligence,’ it is important to develop the capacity to design algorithms capable of performing data-based automated decision-making in conditions of uncertainty. Now, to accomplish this goal, one needs to have an in-depth understanding of the more sophisticated components of linear algebra, vector calculus, probability, and statistics. This book walks you through every mathematical algorithm, as well as its architecture, its operation, and its design so that you can understand how any artificial intelligence system operates. This book will teach you the common terminologies used in Artificial Intelligence such as models, data, parameters of models, and dependent and independent variables. The Bayesian linear regression, the Gaussian mixture model, the stochastic gradient descent, and the backpropagation algorithms are explored with implementation beginning from scratch.

Название: Java 9.0 to 17.0 Cookbook: A Roadmap with Instructions for the Effective Implementation of Features, Codes, and Programs
Автор: Tejaswini Jog, Mandar Jog
Издательство: BPB Publications
Год: 2023
Страниц: 288
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

Solution-driven Approach to Learn Java Versions From 9.0 to 17.0. This book is developed to bring various capabilities of Java across versions from Java 9.0 to 17.0 in the development of end to end Java applications. This book will help any Java user interested in learning how to use each significant feature available in various Java versions. This book is packed with information that is useful for Java experts. It includes many recipes and features you may implement, including type reference, local variable syntax, and single-file source code programs. Each recipe in the book strengthens the technical understanding and introduces the reader to some of the most recent features, such as the Application Class Data Sharing, switch expressions, hidden classes, and many others. This book is written for all of the Java professionals who are interested in exploring every potential that Java has to offer across all of its many versions. Before reading this book, you should have a solid grasp of fundamental Java concepts.

Название: Functional Event-Driven Architecture : Powered by Scala 3
Автор: Gabriel Volpe
Издательство: Leanpub
Год: January 2, 2023
Страниц: 265
Язык: английский
Формат: pdf (true), epub
Размер: 11.2 MB

Explore the event-driven architecture (EDA) in a purely functional way. Learn to design and develop distributed systems that scale. Identify common design patterns in such systems.Take your functional programming skills to the next level by joining me in developing a distributed system powered by Apache Pulsar and Fs2 streams, all in Scala 3! Explore the event-driven architecture (EDA) in a purely functional way. Learn to design and develop distributed systems that scale. Identify common design patterns in such systems. In the same spirit of Practical FP in Scala, we will develop a distributed system written in Scala 3 that meets the requirements of a modern software architecture capable of processing billions of events per day at scale powered by Apache Pulsar and Fs2 streams.

Название: Quantum Computing Compact: Spooky Action at a Distance and Teleportation Easy to Understand
Автор: Bettina Just
Издательство: Springer
Год: 2022
Страниц: 107
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Quantum computing is talked about in times of Artificial Intelligence and fast algorithms. You can find articles not only in technical literature and popular science literature, but also in ordinary daily newspapers and journals. One hears about superfast computers that could break encryption systems, be used in material design and in the simulation of traffic flows and logistics, and speed up all applications of Artificial Intelligence enormously. Quantum computers (like conventional computers) consist of the hardware, that is the devices themselves, and the software, the algorithms that run on the devices. The smallest piece of hardware in a quantum computer is the quantum bit. Quantum bits are tiny particles, about the size of electrons or photons (particles of light), which obey the laws of quantum physics. Quantum computer hardware is currently the biggest difficulty in the use of quantum computers. A brief outline of quantum computer hardware can be found in the last chapter of the book. The second part of the book then deals in detail—beyond the hardware—with the software, i.e., with the way quantum algorithms work.

Название: A Different Look at Artificial Intelligence: On Tour with Bergson, Proust and Nabokov
Автор: Ulrike Barthelmeß, Ulrich Furbach
Издательство: Springer
Год: 2023
Страниц: 172
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Digitalization is inexorably conquering our lives - also with Artificial Intelligence (AI) methods. Search engine operators, social network operators and shipping platform operators know more and more about us, about our buying and living habits. User data has become a valuable commodity. We live and work with computer systems that behave intelligently or are even intelligent. Questions like "Can machines be intelligent?" or "Can they have emotions or a consciousness?" keep popping up. To enable readers to form their own opinion on these questions, the authors clearly explain individual techniques or methods of AI and relate them to approaches from philosophy, art and neurobiology. Topics such as logical reasoning, knowledge and memory play just as important a role as Machine Learning and artificial neural networks (ANN). In the foreground is the question of what constitutes memory and thinking, what role our emotions play when we as humans move through life, through the world. A book that offers unusual perspectives on Artificial Intelligence.

Название: Delphi: Готовые алгоритмы
Автор: Стивене Р.
Издательство: СПб.: Питер
Год: 2004
Cтраниц: 384
Формат: pdf
Размер: 29 мб

Программирование всегда было достаточно сложной задачей. Эта книга поможет вам легко преодолеть возникающие трудности с помощью библиотеки мощных алгоритмов, полностью реализованных в исходном коде Delphi. Вы узнаете, как выбрать способ, наиболее подходящий для решения конкретной задачи, и как добиться максимальной производительности вашего приложения.

Название: Graph Neural Networks in Action (MEAP v4)
Автор: Keita Broadwater
Издательство: Manning Publications
Год: 2022
Страниц: 197
Язык: английский
Формат: pdf, epub
Размер: 15.1 MB

A hands-on guide to powerful graph-based Deep Learning models! Learn how to build cutting-edge graph neural networks (GNN) for recommendation engines, molecular modeling, and more. Graph Neural Networks in Action teaches you to create powerful deep learning models for working with graph data. You’ll learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification. Inside this practical guide, you’ll explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code. If you are an intermediate user of Python, and have some Data Science or Machine Learning engineering experience, you should be good enough to dive in. I also assume you have basic knowledge of neural networks and linear algebra. For Python programmers familiar with Machine Learning and the basics of Deep Learning.