Arduino for Kids. A cool guide to help kids develop robots and electronics

Priya Kuber, Rishi Gaurav Bhatnagar, Vijay Varada

The mission of this book is to integrate technology with the tools that children already use for crafts so that they feel that the technology is an extension of their playtime. We use coding, sensors, and micro-controllers integrated with art and craft supplies, origami, and Playdough. There are 10 fun-filled chapters that talk to children directly, and give clear instructions for non-technical parents too.We use Arduino as the controller of choice due to its easy availability and large community. By the end of the book, children will comfortably be able to set up their Arduino, read and understand code, manipulate code, and ultimately write their own code for projects. They will also be able to use basic sensors and know how components connect to each other. All the learning takes place with lots of colorful pictures and the circuits are neatly presented using wiring.

Arduino for Secret Agents. Transform your tiny Arduino device into a secret agent gadget to build a range of espionage projects with this practical guide for hackers

Marco Schwartz

Q might have Bond’s gadgets– but he doesn’t have an Arduino (not yet at least). Find out how the tiny Arduino microcomputer can be used to build an impressive range of neat secret agent projects that can help you go undercover and get to grips with the cutting-edge of the world of espionage with this book, created for ardent Arduino fans and anyone new to the powerful device.Each chapter shows you how to construct a different secret agent gadget, helping you to unlock the full potential of your Arduino and make sure you have a solution for every tricky spying situation.You’ll find out how to build everything from an alarm system to a fingerprint sensor, each project demonstrating a new feature of Arduino, so you can build your expertise as you complete each project. Learn how to open a lock with a text message, monitor top secret data remotely, and even create your own Arduino Spy Robot, Spy Microphone System, and Cloud Spy Camera This book isn’t simply an instruction manual – it helps you put your knowledge into action so you can build every single project to completion.

Argo CD in Practice. The GitOps way of managing cloud-native applications

Liviu Costea, Spiros Economakis, Alexander Matyushentsev

GitOps follows the practices of infrastructure as code (IaC), allowing developers to use their day-to-day tools and practices such as source control and pull requests to manage apps. With this book, you’ll understand how to apply GitOps bootstrap clusters in a repeatable manner, build CD pipelines for cloud-native apps running on Kubernetes, and minimize the failure of deployments.You’ll start by installing Argo CD in a cluster, setting up user access using single sign-on, performing declarative configuration changes, and enabling observability and disaster recovery. Once you have a production-ready setup of Argo CD, you’ll explore how CD pipelines can be built using the pull method, how that increases security, and how the reconciliation process occurs when multi-cluster scenarios are involved. Next, you’ll go through the common troubleshooting scenarios, from installation to day-to-day operations, and learn how performance can be improved. Later, you’ll explore the tools that can be used to parse the YAML you write for deploying apps. You can then check if it is valid for new versions of Kubernetes, verify if it has any security or compliance misconfigurations, and that it follows the best practices for cloud-native apps running on Kubernetes.By the end of this book, you’ll be able to build a real-world CD pipeline using Argo CD.

Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances

Zsolt Nagy

Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples.As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law.By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills!

Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition

Denis Rothman

AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples.This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs).This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing.By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions.

Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases

Denis Rothman

Artificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies.Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks.You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own.By the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop your business vision.

Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Anand Deshpande, Manish Kumar

In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data.With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems.By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems.

Artificial Intelligence for IoT Cookbook. Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

Michael Roshak

Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users’ lives easier. With this AI cookbook, you’ll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications.Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You’ll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you’ll learn how to deploy models and improve their performance with ease.By the end of this book, you’ll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems.

Artificial Intelligence in Unreal Engine 5. Unleash the power of AI for next-gen game development with UE5 by using Blueprints and C++

Marco Secchi

Have you ever wondered how to create engaging gameplay experiences that involve formidable AI opponents, capable of challenging and pushing players to their limits? If the answer is yes, then get ready to enter the realm of AI creation with Unreal Engine 5.Within the pages of this book, written by a brilliant author and game development expert, you’ll find the secrets of Unreal Engine's cutting-edge AI framework. With this newfound knowledge, you’ll be able to create immersive and dynamic gaming experiences. This step-by-step guide will teach you the art of crafting intelligent and responsive virtual opponents that challenge and engage players on a whole new level. As you follow along with practical examples, the book will guide you through the creation of fully functional AI systems. You’ll be able to harness the power of behavior trees, NavMesh systems, and sensory perception models, breathing life into your virtual characters.By the end of this book, you’ll be equipped with the knowledge you need to unleash the full potential of AI in Unreal Engine. Get ready to revolutionize your gaming creations and captivate players with AI-driven wonders that push the boundaries of what's possible!

Artificial Intelligence, Machine Learning, and Deep Learning. A Practical Guide to Advanced AI Techniques

Mercury Learning and Information, Oswald Campesato

This book introduces AI, then explores machine learning, deep learning, natural language processing (NLP), and reinforcement learning. Readers learn about classifiers like logistic regression, k-NN, decision trees, random forests, and SVMs. It delves into deep learning architectures such as CNNs, RNNs, LSTMs, and autoencoders, with Keras-based code samples supplementing the theory.Starting with a foundational AI overview, the course progresses into machine learning, explaining classifiers and their applications. It continues with deep learning, focusing on architectures like CNNs and RNNs. Advanced topics include LSTMs and autoencoders, essential for modern AI. The book also covers NLP and reinforcement learning, emphasizing their importance.Understanding these concepts is vital for developing advanced AI systems. This book transitions you from beginner to proficient AI practitioner, combining theoretical knowledge and practical skills. Appendices on Keras, TensorFlow 2, and Pandas enrich the learning experience. By the end, readers will understand AI principles and be ready to apply them in real-world scenarios.

Artificial Intelligence with Python. A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Prateek Joshi

Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps which intelligently interact with the world around you, building intelligent recommender systems, automatic speech recognition systems and more.Starting with AI basics you'll move on to learn how to develop building blocks using data mining techniques. Discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios. This practical book covers a range of topics including predictive analytics and deep learning.

Artificial Intelligence with Python Cookbook. Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

Ben Auffarth

Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research.Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems.By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production.

Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - Second Edition

Alberto Artasanchez, Prateek Joshi

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications.This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data.Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.

Asembler. Leksykon kieszonkowy

Dawid Farbaniec

Dowiedz się, jak zbudowany jest i jak działa procesor Poznaj język Asembler i narzędzia umożliwiające tworzenie w nim programów Naucz się pisać wydajny kod działający w systemach DOS i Windows Poznaj Asemblera i dołącz do elity programistów! "Asembler" to słowo wywołujące przerażenie u laików i dreszcz emocji u specjalistów. Osoby znające ten język są uważane za elitę wśród profesjonalnych programistów. Nic dziwnego — w końcu nikt lepiej niż oni nie zna podstaw działania współczesnych procesorów i technik umożliwiających tworzenie bardzo wydajnych programów komputerowych. Jednak czy wiedza o Asemblerze naprawdę jest tajemna, dostępna tylko nielicznym? Czy język ten jest aż tak trudny do opanowania? Wcale nie! Przekonaj się o tym, sięgając po książkę "Asembler. Leksykon". Przystępnie i rzeczowo wyjaśni Ci ona sposób działania procesorów zgodnych z architekturą x86, przedstawi strukturę 16-bitowych programów dla środowiska DOS i 32-bitowych programów dla systemów operacyjnych Windows, a także poszerzy Twoją wiedzę o informacje dotyczące Asemblera dla architektury 64-bitowej. Dzięki niej poznasz instrukcje języka, najważniejsze techniki programistyczne, sposoby używania elementów interfejsu użytkownika oraz narzędzia niezbędne w pracy programisty. Podstawowe pojęcia związane z Asemblerem i przydatne narzędzia Wiadomości na temat architektury x86 i korzystania z rejestrów procesora Budowa 16-bitowych programów DOS i 32-bitowych programów Windows Korzystanie z makroinstrukcji oraz różnych typów danych Tworzenie programów w systemie Windows i używanie kontrolek UI Naucz się wydajnie programować w Asemblerze!    

Asembler. Programowanie

Dawid Farbaniec

Asembler naprawdę jest dla każdego! Masz zamiar nauczyć się programować niskopoziomowo? Chcesz poznać język Asembler dla architektury x86-64? Pragniesz wykorzystać przydatne narzędzia programistyczne? Jeśli chociaż na jedno z powyższych pytań odpowiedziałeś twierdząco, jesteś na dobrej drodze! Książka Asembler. Programowanie bezboleśnie i szybko wprowadzi Cię w tajniki programowania niskopoziomowego, nauczy instrukcji języka Asembler, przedstawi podstawowe informacje o sposobach zapisu liczb i kodowania znaków, zaprezentuje architekturę x86-64 i zasadę działania kompilatorów, a także pokaże narzędzia programistyczne, które z pewnością wzbogacą Twój warsztat. Dzięki lekturze dowiesz się, jak za pomocą Asemblera tworzyć aplikacje działające w systemach Windows, jak korzystać w nich z danych tekstowych, plików i usług sieciowych, a także jak skutecznie łączyć je z programami napisanymi w języku C++. Poznasz też podstawy Asemblera MSIL/CIL i WebAssembly, jak również sposoby wykorzystania tego języka w inżynierii odwrotnej kodu oraz narzędzia, które mogą się do tego przydać. Całość uzupełnia wyczerpujący opis instrukcji procesorów x86(-64) wraz z praktycznymi przykładami ich zastosowania. Systemy liczbowe i kodowanie znaków Podstawy działania kompilatorów Architektura procesorów x86(-64) Przegląd narzędzi programistycznych Podstawy Asemblera x86 i x86-64 Zmienne, stałe, typy i struktury Instrukcje sterujące i wywoływanie funkcji Korzystanie z konsoli i okien dialogowych Zastosowanie danych tekstowych Użycie plików i funkcji sieciowych Łączenie Asemblera z kodem C++ Asembler i inżynieria odwrotna kodu Podstawy Asemblera platformy .NET Podstawy WebAssembly Opis instrukcji procesorów x86(-64) Rozwiń skrzydła! Naucz się Asemblera!

ASP.NET 3.5 Application Architecture and Design. Build robust, scalable ASP.NET applications quickly and easily

Vivek Thakur