Practical Ai Style
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Practical Ai Style
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Author : Mike P. O'Brien
language : en
Publisher: SmarterMedium
Release Date : 2025-06-24
Practical Ai Style written by Mike P. O'Brien and has been published by SmarterMedium this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.
Dear Reader, You and I are both here because the rules are changing. You didn’t pick up this book to learn about AI. You picked it up because your work is already being reshaped by it. AI touches nearly every interaction. Instead of looking to AI for answers, we need to set our own rules with clarity, confidence, and control. If you’ve ever turned to The Elements of Style for clarity in writing, this book offers a way to approach AI with the same care. We need to learn how to work with AI, to understand Who it is and What it isn’t. Practical AI Style isn’t a warning or a blind embrace. It is a guide to help AI assist and augment our skills, grounded in clear intent, consistent tone, thoughtful constraints, and alignment with our values. Inside, you will find elements, workbooks, and exercises I have used with teams navigating this terrain, all designed to help you build your own AI Style Guide you can put to immediate use. Along the way, you will meet a few of my favorite cohorts: a race engineer, an art forger, Scheherazade, Juror #8, the Great One, and a Pope. Each offers an authentic perspective that helps shape how we approach AI with tone, judgment, assurance, and trust. Thanks for being part of this work. With Gratitude! Mike P.S. We likely haven’t met. I’ve spent my career where technology meets learning, helping people and teams adapt to change with clarity and care. This book was shaped by years of work with organizations, a curiosity for what comes next, and one vivacious, partially trained golden retriever named Mara, who reminds me daily how nascent intelligence does not always look or act the way we expect. I live with my wife and daughter in Hull, Massachusetts, leashed to the future five feet behind Mara. A little more about the book for the curious ... AI is transforming business fast, bringing both opportunity and risk—messaging can become inconsistent, and brand voice diluted. Practical AI Style offers your AI Style Guide, a modern Elements of Style for AI use. It anchors AI in clarity, consistency, and values, ensuring AI reflects your brand’s true purpose. Unlike policies, it focuses on how to use AI responsibly—setting tone, intent, and transparency norms that turn AI into a trusted partner. What Is an AI Style Guide? It defines principles for creating and managing AI content, helping teams produce aligned, trustworthy outputs. Inspired by Strunk and White’s clarity, this book distills the essentials for effective AI communication. A Practical Workbook More than theory, it offers exercises and templates to build your guide. You’ll learn to: - Define your AI’s tone and ethics - Train teams to write clear AI prompts - Create a living guide that grows with your needs - Use AI confidently with balance and control This book empowers you to lead your organization in using AI thoughtfully, protecting your brand in a fast-changing world. Start Your AI Journey AI’s pace is fast—but mastery is possible. Practical AI Style gives you the tools to build clarity and control, turning risk into advantage.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Artificial Intelligence For Fashion
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Author : Leanne Luce
language : en
Publisher: Apress
Release Date : 2018-12-08
Artificial Intelligence For Fashion written by Leanne Luce and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-08 with Computers categories.
Learn how Artificial Intelligence (AI) is being applied in the fashion industry. With an application focused approach, this book provides real-world examples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals. The book investigates the ways in which AI is impacting every part of the fashion value chain starting with product discovery and working backwards to manufacturing. Artificial Intelligence for Fashion walks you through concepts, such as connected retail, data mining, and artificially intelligent robotics. Each chapter contains an example of how AI is being applied in the fashion industry illustrated by one major technological theme. There are no equations, algorithms, or code. The technological explanations are cumulative so you'll discover more information about the inner workings of artificial intelligence in practical stages as the book progresses. What You’ll Learn Gain a basic understanding of AI and how it is used in fashion Understand key terminology and concepts in AI Review the new competitive landscape of the fashion industry Conceptualize and develop new ways to apply AI within the workplace Who This Book Is For Fashion industry professionals from designers, managers, department heads, and executives can use this book to learn about how AI is impacting roles in every department and profession.
Practical Ai On The Google Cloud Platform
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Author : Micheal Lanham
language : en
Publisher: O'Reilly Media
Release Date : 2020-10-20
Practical Ai On The Google Cloud Platform written by Micheal Lanham and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Computers categories.
Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video. Author Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application. Learn key concepts for data science, machine learning, and deep learning Explore tools like Video AI and AutoML Tables Build a simple language processor using deep learning systems Perform image recognition using CNNs, transfer learning, and GANs Use Google's Dialogflow to create chatbots and conversational AI Analyze video with automatic video indexing, face detection, and TensorFlow Hub Build a complete working AI agent application
Practical Simulations For Machine Learning
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Author : Paris Buttfield-Addison
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-07
Practical Simulations For Machine Learning written by Paris Buttfield-Addison 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 2022-06-07 with Computers categories.
Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. You'll learn how to: Design an approach for solving ML and AI problems using simulations with the Unity engine Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning models Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization Train a variety of ML models using different approaches Enable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits
Practical Deep Learning For Cloud Mobile And Edge
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Author : Anirudh Koul
language : en
Publisher: O'Reilly Media
Release Date : 2019-10-14
Practical Deep Learning For Cloud Mobile And Edge written by Anirudh Koul and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Computers categories.
Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
Zero To Ai
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Author : Nicolò Valigi
language : en
Publisher: Manning
Release Date : 2020-05-19
Zero To Ai written by Nicolò Valigi and has been published by Manning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-19 with Computers categories.
Summary How can artificial intelligence transform your business? In Zero to AI, you’ll explore a variety of practical AI applications you can use to improve customer experiences, optimize marketing, help you cut costs, and more. In this engaging guide written for business leaders and technology pros alike, authors and AI experts Nicolò Valigi and Gianluca Mauro use fascinating projects, hands-on activities, and real-world explanations to make it clear how your business can benefit from AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology There’s no doubt that artificial intelligence has made some impressive headlines recently, from besting chess and Go grand masters to producing uncanny deep fakes that blur the lines of reality. But what can AI do for you? If you want to understand how AI will impact your business before you invest your time and money, this book is for you. About the book Zero to AI uses clear examples and jargon-free explanations to show the practical benefits of AI. Each chapter explores a real-world case study demonstrating how companies like Google and Netflix use AI to shape their industries. You begin at the beginning, with a primer on core AI concepts and realistic business outcomes. To help you prepare for the transition, the book breaks down a successful AI implementation, including advice on hiring the right team and making decisions about resources, risks, and costs. What's inside Identifying where AI can help your organization Designing an AI strategy Evaluating project scope and business impact Using AI to boost conversion rates, curate content, and analyze feedback Understanding how modern AI works and what it can/can’t do About the reader For anyone who wants to gain an understanding of practical artificial intelligence and learn how to design and develop projects with high business impact. About the author Gianluca Mauro and Nicolò Valigi are the cofounders of AI Academy, a company specializing in AI trainings and consulting. Table of Contents: 1. An introduction to artificial intelligence PART 1 - UNDERSTANDING AI 2. Artificial intelligence for core business data 3. AI for sales and marketing 4. AI for media 5. AI for natural language 6. AI for content curation and community building PART 2 - BUILDING AI 7. Ready—finding AI opportunities 8. Set—preparing data, technology, and people 9. Go—AI implementation strategy 10. What lies ahead
Paradigms Of Artificial Intelligence Programming
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Author : Peter Norvig
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-06-28
Paradigms Of Artificial Intelligence Programming written by Peter Norvig and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.
Practical Game Ai Programming
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Author : Micael DaGraça
language : en
Publisher:
Release Date : 2017
Practical Game Ai Programming written by Micael DaGraça and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computers categories.
Jump into the world of Game AI developmentAbout This Book* Move beyond using libraries to create smart game AI, and create your own AI projects from scratch* Implement the latest algorithms for AI development and in-game interaction* Customize your existing game AI and make it better and more efficient to improve your overall game performanceWho This Book Is ForThis book is for game developers with a basic knowledge of game development techniques and some basic programming techniques in C# or C++.What You Will Learn* Get to know the basics of how to create different AI for different type of games* Know what to do when something interferes with the AI choices and how the AI should behave if that happens* Plan the interaction between the AI character and the environment using Smart Zones or Triggering Events* Use animations correctly, blending one animation into another and rather than stopping one animation and starting another* Calculate the best options for the AI to move using Pruning Strategies, Wall Distances, Map Preprocess Implementation, and Forced Neighbours* Create Theta algorithms to the AI to find short and realistic looking paths* Add many characters into the same scene and make them behave like a realistic crowdIn DetailThe book starts with the basics examples of AI for different game genres and directly jumps into defining the probabilities and possibilities of the AI character to determine character movement. Next, you'll learn how AI characters should behave within the environment created.Moving on, you'll explore how to work with animations. You'll also plan and create pruning strategies, and create Theta algorithms to find short and realistic looking game paths. Next, you'll learn how the AI should behave when there is a lot of characters in the same scene.You'll explore which methods and algorithms, such as possibility maps, Forward Chaining Plan, Rete Algorithm, Pruning Strategies, Wall Distances, and Map Preprocess Implementation should be used on different occasions. You'll discover how to overcome some limitations, and how to deliver a better experience to the player. By the end of the book, you think differently about AI.Style and approachThe book has a step-by-step tutorial style approach. The algorithms are explained by implementing them in #.
Mathematics For Machine Learning
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Author : Marc Peter Deisenroth
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-23
Mathematics For Machine Learning written by Marc Peter Deisenroth and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-23 with Computers categories.
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.