Swift Programming Artificial Intelligence
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Swift Programming Artificial Intelligence
Author: Code Well Academy
language: en
Publisher: Createspace Independent Publishing Platform
Release Date: 2016-04-10
Design the MIND of a Robotic Thinker! " If you have any interest in AI or programming, this book is a good start. It is really a solid guide and I have to recommend it. " - Sanjin, from Amazon.com " The author did a great job. It's essentially a guide for everybody, who studying artificial intelligence or just interested in programming. " - Irvin J. Hoch, from Amazon.com " Props for the author for coming up with a lay man's illustration regarding swift programming to create AI. " - Lucinda, from Amazon.com * * INCLUDED BONUS: a Quick-start guide to Learning Swift in less than a Day! * * How would you like to Create the Next SIRI? Artificial Intelligence. One of the most brilliant creations of mankind. No longer a sci-fi fantasy, but a realistic approach to making work more efficient and lives easier.And the best news? It's not that complicated after all Does it require THAT much advanced math? NO!And are you paying THOUSANDS of dollars just to learn this information? NO!Hundreds? Not even close. Within this book's pages, you'll find GREAT coding skills to learn - and more. Just some of the questions and topics include: - Complicated scheduling problem? Here's how to solve it. - How good are your AI algorithms? Analysis for Efficiency- How to interpret a system into logical code for the AI- How would an AI system would diagnose a system? We show you...- Getting an AI agent to solve problems for youand Much, much more!World-Class TrainingThis book breaks your training down into easy-to-understand modules. It starts from the very essentials of algorithms and program procedures, so you can write great code - even as a beginner!
Swift for Artificial Intelligence
đ¤ Swift for Artificial Intelligence: Developing AI-Powered Applications đ Build Intelligent Apps with the Power of Swift + AI What if you could harness one of the worldâs most elegant programming languages to create smart, adaptive applications? With Swift for Artificial Intelligence, youâll unlock the potential to build real-world, AI-powered solutionsâfast, efficient, and ready for the future. This book is your hands-on guide to applying artificial intelligence with Swift. Designed for developers who want to explore practical artificial intelligence with Swift, it combines real coding examples with the theory behind machine learning, neural networks, and modern AI applications. đĄ What Youâll Learn Inside This Book: â What is the Swift Language in AI? Discover why Swiftâoriginally built for iOSâis quickly becoming a go-to for AI development, thanks to its performance, readability, and native integration with Apple technologies. â Working of Artificial Intelligence in Swift Learn the core principles behind artificial intelligence and its application in mobile and cross-platform environments, including Swift for Android using open-source frameworks. â Build Real-World AI Apps Create projects using real datasets and see how to apply artificial intelligence for IT, health, finance, and even social work solutionsâall using Swift. â Integrate AI Frameworks Connect Swift to machine learning libraries, Core ML, and Create ML. Perfect for developing AI applications with Swift that can recognize images, analyze patterns, and learn from user behavior. â AI That Writes for You Explore how artificial intelligence that writes for you can be incorporated into Swift appsâfrom auto-generated text to chatbots and smart assistants. â AI-Generated Images of Swift Delve into image processing and generation, and discover how to build apps that use AI-generated images of Swift (and no, weâre not talking about Taylorâbut weâll explain the tech behind that too). â Swift FX & Visual AI Understand how Swift FX and modern graphics processing integrate with AI to create seamless visual experiences, including filters, smart effects, and dynamic content. đ¨âđť Who This Book Is For: iOS and cross-platform developers eager to dive into Swift artificial intelligence Students and professionals studying artificial intelligence with applications in mobile tech Engineers exploring working of artificial intelligence with hands-on code Creators building next-gen apps that think, react, and evolve Innovators interested in AI photos of Swift, AI-generated content, and smart automation đ Why This Book Stands Out Unlike generic AI books, this one speaks directly to developers, creators, and visionaries who want to build smarter apps using Swift. You wonât just read about conceptsâyouâll implement them, test them, and watch them work. Whether you're curious about the artificial intelligence work undertaken in the tech industry or building tools that make decisions, write code, or generate content, this is your starting point. đ The future of software is smartâand now you can be the one who builds it. Grab your copy of Swift for Artificial Intelligence: Developing AI-Powered Applications and start coding intelligent systems with Swift today. đ Click âBuy Nowâ to build your first AI app with Swift!
Machine Learning with Swift
Author: Oleksandr Sosnovshchenko
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-02-28
Leverage the power of machine learning and Swift programming to build intelligent iOS applications with ease Key Features Implement effective machine learning solutions for your iOS applications Use Swift and Core ML to build and deploy popular machine learning models Develop neural networks for natural language processing and computer vision Book Description Machine learning as a field promises to bring increased intelligence to the software by helping us learn and analyse information efficiently and discover certain patterns that humans cannot. This book will be your guide as you embark on an exciting journey in machine learning using the popular Swift language. Weâll start with machine learning basics in the first part of the book to develop a lasting intuition about fundamental machine learning concepts. We explore various supervised and unsupervised statistical learning techniques and how to implement them in Swift, while the third section walks you through deep learning techniques with the help of typical real-world cases. In the last section, we will dive into some hard core topics such as model compression, GPU acceleration and provide some recommendations to avoid common mistakes during machine learning application development. By the end of the book, you'll be able to develop intelligent applications written in Swift that can learn for themselves. What you will learn Learn rapid model prototyping with Python and Swift Deploy pre-trained models to iOS using Core ML Find hidden patterns in the data using unsupervised learning Get a deeper understanding of the clustering techniques Learn modern compact architectures of neural networks for iOS devices Train neural networks for image processing and natural language processing Who this book is for iOS developers who wish to create smarter iOS applications using the power of machine learning will find this book to be useful. This book will also benefit data science professionals who are interested in performing machine learning on mobile devices. Familiarity with Swift programming is all you need to get started with this book.