Swift Programming Artificial Intelligence
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Swift Programming Artificial Intelligence
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Author : Code Well Academy
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-04-10
Swift Programming Artificial Intelligence written by Code Well Academy and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-10 with categories.
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
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Author : Oliver Snowden
language : en
Publisher: Oliver Snowden
Release Date :
Swift For Artificial Intelligence written by Oliver Snowden and has been published by Oliver Snowden this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
🤖 Swift for Artificial Intelligence: Developing AI-Powered Applications 🚀 Build Intelligent Apps with the Power of Swift + AI What if you could harness one of the world’s most elegant programming languages to create smart, adaptive applications? With Swift for Artificial Intelligence, you’ll unlock the potential to build real-world, AI-powered solutions—fast, 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. 💡 What You’ll Learn Inside This Book: ✅ What is the Swift Language in AI? Discover why Swift—originally built for iOS—is quickly becoming a go-to for AI development, thanks to its performance, readability, and native integration with Apple technologies. ✅ 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. ✅ 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 solutions—all using Swift. ✅ 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. ✅ AI That Writes for You Explore how artificial intelligence that writes for you can be incorporated into Swift apps—from auto-generated text to chatbots and smart assistants. ✅ 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, we’re not talking about Taylor—but we’ll explain the tech behind that too). ✅ 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. 👨💻 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 📈 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 won’t just read about concepts—you’ll 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. 🛒 The future of software is smart—and 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. 👉 Click “Buy Now” to build your first AI app with Swift!
Machine Learning With Swift
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Author : Oleksandr Sosnovshchenko
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-02-28
Machine Learning With Swift written by Oleksandr Sosnovshchenko and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-28 with Computers categories.
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. We’ll 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.
Practical Artificial Intelligence With Swift
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Author : Mars Geldard
language : en
Publisher:
Release Date : 2019
Practical Artificial Intelligence With Swift written by Mars Geldard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Artificial intelligence categories.
Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you'll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more. AI is increasingly essential for every developer-and you don't need to be a data scientist or mathematician to take advantage of it in your apps. Explore Swift-based AI and ML techniques for building applications. Learn where and how AI-driven features make sense. Inspect tools such as Apple's Python-powered Turi Create and Google's Swift for TensorFlow to train and build models. I: Fundamentals and Tools- Learn AI basics, our task-based approach, and discover how to build or find a dataset. II: Task Based AI- Build vision, audio, text, motion, and augmentation-related features; learn how to convert preexisting models. III: Beyond- Discover the theory behind task-based practice, explore AI and ML methods, and learn how you can build it all from scratch ... if you want to.
Practical Artificial Intelligence With Swift
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Author : Mars Geldard
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-09-03
Practical Artificial Intelligence With Swift written by Mars Geldard and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Computers categories.
Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you’ll learn how to build features that use powerful AI features to identify images, make predictions, generate content, recommend things, and more. AI is increasingly essential for every developer—and you don’t need to be a data scientist or mathematician to take advantage of it in your apps. Explore Swift-based AI and ML techniques for building applications. Learn where and how AI-driven features make sense. Inspect tools such as Apple’s Python-powered Turi Create and Google’s Swift for TensorFlow to train and build models. I: Fundamentals and Tools—Learn AI basics, our task-based approach, and discover how to build or find a dataset. II: Task Based AI—Build vision, audio, text, motion, and augmentation-related features; learn how to convert preexisting models. III: Beyond—Discover the theory behind task-based practice, explore AI and ML methods, and learn how you can build it all from scratch... if you want to
Machine Learning Advances In Computing Renewable Energy And Communication
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Author : Anuradha Tomar
language : en
Publisher: Springer Nature
Release Date : 2021-08-19
Machine Learning Advances In Computing Renewable Energy And Communication written by Anuradha Tomar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-19 with Technology & Engineering categories.
This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17–18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.
Management Organisations And Artificial Intelligence
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Author : Piotr Buła
language : en
Publisher: Routledge
Release Date : 2021-11-17
Management Organisations And Artificial Intelligence written by Piotr Buła and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-17 with Business & Economics categories.
This book combines academic research with practical guidelines in methods and techniques to supplement existing knowledge relating to organizational management in the era of digital acceleration. It offers a simple layout with concise but rich content presented in an engaging, accessible style and the authors’ holistic approach is unique in the field. From a universalist perspective, the book examines and analyzes the development of, among others, Industry 4.0, artificial intelligence (AI), AI 2.0, AI systems and platforms, algorithmics, new paradigms of organization management, business ecosystems, data processing models in AI-based organizations and AI strategies in the global perspective. An additional strength of the book is its relevance and contemporary nature, featuring information, data, forecasts or scenarios reaching up to 2030. How does one build, step by step, an organization that will be based on artificial intelligence technology and gain measurable benefits from it, for instance, as a result of its involvement in the creation of the so-called mesh ecosystem? The answer to this and many other pertinent questions are provided in this book. This timely and important book will appeal to scholars and students across the fields of organizational management and innovation and technology management, as well as managers, educators, scientists, entrepreneurs, innovators and more.
Integration Of Constraint Programming Artificial Intelligence And Operations Research
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Author : Guido Tack
language : en
Publisher: Springer Nature
Release Date : 2025-06-28
Integration Of Constraint Programming Artificial Intelligence And Operations Research written by Guido Tack and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-28 with Computers categories.
This two-volume set LNCS 15762-15763 constitutes the proceedings of the 22nd International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2025, held in Melbourne, VIC, Australia, November 10–13, 2025. The 30 full papers and the 2 short papers presented in the proceedings were carefully reviewed and selected from a total of 68 submissions. The conference featured a masterclass and several joint invited talks that covered topics of interest at the intersection of constraint programming, artificial Intelligence, operations research, planning and scheduling, and knowledge representation.
Progress In Artificial Intelligence
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Author : Luis Miguel Correia
language : en
Publisher: Springer
Release Date : 2013-09-04
Progress In Artificial Intelligence written by Luis Miguel Correia and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-04 with Computers categories.
This book constitutes the refereed proceedings of the 16th Portuguese Conference on Artificial Intelligence, EPIA 2013, held in Angra do Heroísmo, Azores, Portugal, in September 2013. The 45 revised full papers presented were carefully reviewed and selected from a total of 157 submissions. The papers are organized in the following topical sections: ambient intelligence and affective environments; artificial intelligence in transportation systems; artificial life and evolutionary algorithms; computational methods in bioinformatics and systems biology; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; social simulation and modeling; and text mining and applications.
Deep Learning With Swift For Tensorflow
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Author : Rahul Bhalley
language : en
Publisher:
Release Date : 2021
Deep Learning With Swift For Tensorflow written by Rahul Bhalley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Artificial intelligence categories.
About this book Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundamentals to advanced research. It also introduces the Swift language for beginners in programming. This book is well suited for newcomers and experts in programming and deep learning alike. After reading this book you should be able to program various state-of-the-art deep learning algorithms yourself. The book covers foundational concepts of machine learning. It also introduces the mathematics required to understand deep learning. Swift language is introduced such that it allows beginners and researchers to understand programming and easily transit to Swift for TensorFlow, respectively. You will understand the nuts and bolts of building and training neural networks, and build advanced algorithms. What You'll Learn: Understand deep learning concepts; Program various deep learning algorithms; Run the algorithms in cloud. Who This Book Is For: Newcomers to programming and/or deep learning, and experienced developers; Experienced deep learning practitioners and researchers who desire to work in user space instead of library space with a same programming language without compromising the speed.