Видавець: Packt Publishing
Irene Bratsis
Product managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This book covers everything you need to know to drive product development and growth in the AI industry. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools you need to succeed.The first part of the book focuses on establishing a foundation of the concepts most relevant to maintaining AI pipelines. The next part focuses on building an AI-native product, and the final part guides you in integrating AI into existing products.You’ll learn about the types of AI, how to integrate AI into a product or business, and the infrastructure to support the exhaustive and ambitious endeavor of creating AI products or integrating AI into existing products. You’ll gain practical knowledge of managing AI product development processes, evaluating and optimizing AI models, and navigating complex ethical and legal considerations associated with AI products. With the help of real-world examples and case studies, you’ll stay ahead of the curve in the rapidly evolving field of AI and ML.By the end of this book, you’ll have understood how to navigate the world of AI from a product perspective.
Irene Bratsis
Product managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This audiobook covers everything you need to know to drive product development and growth in the AI industry. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools you need to succeed.The first part of the audiobook focuses on establishing a foundation of the concepts most relevant to maintaining AI pipelines. The next part focuses on building an AI-native product, and the final part guides you in integrating AI into existing products.You’ll learn about the types of AI, how to integrate AI into a product or business, and the infrastructure to support the exhaustive and ambitious endeavor of creating AI products or integrating AI into existing products. You’ll gain practical knowledge of managing AI product development processes, evaluating and optimizing AI models, and navigating complex ethical and legal considerations associated with AI products. With the help of real-world examples and case studies, you’ll stay ahead of the curve in the rapidly evolving field of AI and ML.By the end of this audiobook, you’ll have understood how to navigate the world of AI from a product perspective.
The AI Value Playbook. How to make AI work in the real world
Lisa Weaver-Lambert
Business leaders are challenged by the speed of AI innovation and how to navigate disruption and uncertainty. This book is a crucial resource for those who want to understand how to leverage AI to drive business value, drawn from the firsthand experience of those who have been implementing this technology successfully. The AI Value Playbook focuses on questions frequently posed by leaders and boards. How can businesses adapt to these emerging technologies? How can they start building and deploying AI as a strategic asset to drive efficiency? What risks or threats need to be considered? How quickly can value be created? This book is a response to those demands. In a series of in-depth and wide-ranging conversations with practitioners, from CEOs leading new generative AI-based companies to Data Scientists and CFOs working in more traditional companies. Our experts share their hard-earned wisdom, talking candidly about their successes and failures, and what excites them about the future. These interviews offer unique insights for business leaders to apply to their own organizations. The book distils a value-driven playbook for how AI can be put to work today.
The Android Game Developer's Handbook. Click here to enter text
Avisekhar Roy
Gaming in android is an already established market and growing each day. Previously games were made for specific platforms, but this is the time of cross platform gaming with social connectivity. It requires vision of polishing, design and must follow user behavior. This book would help developers to predict and create scopes of improvement according to user behavior.You will begin with the guidelines and rules of game development on the Android platform followed by a brief description about the current variants of Android devices available. Next you will walk through the various tools available to develop any Android games and learn how to choose the most appropriate tools for a specific purpose. You will then learn JAVA game coding standard and style upon the Android SDK. Later, you would focus on creation, maintenance of Game Loop using Android SDK, common mistakes in game development and the solutions to avoid them to improve performance. We will deep dive into Shaders and learn how to optimize memory and performance for an Android Game before moving on to another important topic, testing and debugging Android Games followed by an overview about Virtual Reality and how to integrate them into Android games. Want to program a different way? Inside you’ll also learn Android game Development using C++ and OpenGL. Finally you would walk through the required tools to polish and finalize the game and possible integration of any third party tools or SDKs in order to monetize your game when it’s one the market!
The Ansible Workshop. Hands-On Learning For Rapid Mastery
Aymen El Amri
The Ansible Workshop offers a comprehensive journey through the world of Ansible, guiding readers from foundational concepts to advanced applications in automation. Readers delve into creating and managing inventories, an essential aspect of organizing systems for automation.As the journey progresses, the book covers the creation and use of playbooks, providing step-by-step instructions and practical examples. Readers learn how to gather and utilize Ansible facts, debug issues effectively, and manage sensitive data with Ansible Vault. The exploration of Ansible blocks, modules, plugins, and filters further enhances the reader's ability to customize and extend Ansible's functionality.The book then introduces the concept of Ansible roles, enabling readers to structure and reuse their automation tasks efficiently. Performance optimization techniques are also discussed, ensuring that automation workflows are both fast and reliable. The practical applications of Ansible are showcased through chapters on managing Docker and Docker Compose, as well as automating Kubernetes, highlighting Ansible's versatility in modern IT environments. To provide a quick reference and reinforce learning, an Ansible cheat sheet is included, summarizing key commands and concepts.
Krishna Sankar, Jeffrey Jackovich, Ruze Richards
Are you fascinated with applications like Alexa and Siri and how they accurately process information within seconds before returning accurate results? Are you looking for a practical guide that will teach you how to build intelligent applications that can revolutionize the world of artificial intelligence? The Applied AI and NLP Workshop will take you on a practical journey where you will learn how to build artificial intelligence (AI) and natural language processing (NLP) applications with Amazon Web services (AWS).Starting with an introduction to AI and machine learning, this book will explain how Amazon S3, or Amazon Simple Storage Service, works. You’ll then integrate AI with AWS to build serverless services and use Amazon’s NLP service Comprehend to perform text analysis on a document. As you advance, the book will help you get to grips with topic modeling to extract and analyze common themes on a set of documents with unknown topics. You’ll also work with Amazon Lex to create and customize a chatbot for task automation and use Amazon Rekognition for detecting objects, scenes, and text in images.By the end of The Applied AI and NLP Workshop, you’ll be equipped with the knowledge and skills needed to build scalable intelligent applications with AWS.
Anthony So, William So, Zsolt Nagy
You already know that artificial intelligence (AI) and machine learning (ML) are present in many of the tools you use in your daily routine. But do you want to be able to create your own AI and ML models and develop your skills in these domains to kickstart your AI career?The Applied Artificial Intelligence Workshop gets you started with applying AI with the help of practical exercises and useful examples, all put together cleverly to help you gain the skills to transform your career.The book begins by teaching you how to predict outcomes using regression. You will then learn how to classify data using techniques such as k-nearest neighbor (KNN) and support vector machine (SVM) classifiers. As you progress, you’ll explore various decision trees by learning how to build a reliable decision tree model that can help your company find cars that clients are likely to buy. The final chapters will introduce you to deep learning and neural networks. Through various activities, such as predicting stock prices and recognizing handwritten digits, you’ll learn how to train and implement convolutional neural networks (CNNs) and recurrent neural networks (RNNs).By the end of this applied AI book, you’ll have learned how to predict outcomes and train neural networks and be able to use various techniques to develop AI and ML models.
Alex Galea
From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world. It has an important role to play in everything from app development to network security.Taking an interactive approach to learning the fundamentals, this book is ideal for beginners. You’ll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples.Starting with an introduction to data science and machine learning, you’ll start by getting to grips with Jupyter functionality and features. You’ll use Python libraries like sci-kit learn, pandas, Matplotlib, and Seaborn to perform data analysis and data preprocessing on real-world datasets from within your own Jupyter environment. Progressing through the chapters, you’ll train classification models using sci-kit learn, and assess model performance using advanced validation techniques. Towards the end, you’ll use Jupyter Notebooks to document your research, build stakeholder reports, and even analyze web performance data.By the end of The Applied Data Science Workshop, you’ll be prepared to progress from being a beginner to taking your skills to the next level by confidently applying data science techniques and tools to real-world projects.