Programowanie
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.
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.
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!*Email sign-up and proof of purchase required
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.
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.
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.
Ritesh Kumar, 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.
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.
Vivek Thakur
This is a practical hands-on book with clear instructions and lot of code examples. It takes a simple approach, guiding you through different architectural topics using realistic sample projects.A single project is implemented using different architectural styles to make the reader understand the details of each style. There are also many small independent code samples to explain design patterns, WCF, and localization. This book is for people familiar with the ASP.NET framework using either C# or VB.NET. You don’t need to be an ASP.NET guru – the book is ideal for novice and intermediate developers.If reading about application architecture usually confuses you or sends you to sleep, then this book will be perfect for you! In short, any ASP.NET programmer who is confused or disoriented reading different books or materials on architectures wondering how and what to implement in their application, will definitely benefit from this book!
Jesse Liberty, Dan Maharry, Dan Hurwitz
Kompletne źródło informacji na temat ASP.NET! Jak maksymalnie wykorzystać możliwości Visual Studio? Jakie tajemnice kryje język LINQ? Jak tworzyć bezpieczne aplikacje internetowe? Aplikacje internetowe cieszą się wciąż rosnącą popularnością. Na rynku narzędzi do ich tworzenia można znaleźć wiele rozwiązań, a wśród nich jedno wyjątkowe — platformę .NET. Pozwala ona na wykorzystanie dowolnego obsługiwanego przez nią języka programowania do tworzenia dynamicznych, interaktywnych i atrakcyjnych rozwiązań internetowych. Wybierając platformę .NET, otrzymasz dostęp do wielu dodatkowych narzędzi i — co najważniejsze — do wiedzy zgromadzonej przez całą używającą jej społeczność. Niezliczona liczba stron, artykułów i osób chętnych do pomocy sprawia, że rozwiązanie nawet najbardziej skomplikowanego problemu staje się łatwiejsze. Dzięki tej książce zdobędziesz wiedzę pozwalającą Ci na swobodne poruszanie się w świecie aplikacji internetowych opartych o .NET. Nauczysz się w maksymalny sposób wykorzystywać możliwości środowiska Visual Studio 2008, poznasz dostępne kontrolki oraz sprawdzisz, do czego może Ci się przydać ADO.NET. Ponadto odkryjesz tajemnice języka LINQ i zasady, których przestrzeganie zapewni bezpieczeństwo Twojej aplikacji. W kolejnych rozdziałach autorzy przedstawią Ci metody tworzenia usług sieciowych, zwiększania wydajności poprzez buforowanie oraz konfiguracji serwera IIS 7.0. Książka ta pozwoli Ci w łatwy sposób wykonać pierwszy krok w świat dynamicznych stron WWW, tworzonych z wykorzystaniem ASP.NET. Praca w zintegrowanym środowisku programistycznym Visual Studio 2008 Podstawowe kontrolki oraz kontrolki pozwalające na dostęp do danych Dostęp do baz danych z wykorzystaniem ADO.NET Zastosowanie języka LINQ Gwarancja poprawności danych Zapewnienie bezpieczeństwa aplikacji internetowej Tworzenie stron wzorcowych Przygotowanie usług sieciowych Protokoły i standardy usług sieciowych Poprawa wydajności poprzez zastosowanie buforowania Konfiguracja serwera IIS 7.0 Debugowanie kodu i śledzenie jego wykonania Wdrażanie aplikacji w środowisku lokalnym i globalnym Przydatne skróty klawiaturowe Poznaj możliwości jednej z najpopularniejszych platform do tworzenia dynamicznych stron WWW!