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AI-Powered Business Intelligence
AI-Powered Business Intelligence

Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision making. With this practical book with hands-on examples in Power BI, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, images files. Author Tobias Zwingmann helps BI professionals, business analysts, and data analytics understand high-impact areas of artificial intelligence. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists. Learn how AI can generate business impact in BI environments; Use AutoML for automated classification and improved forecasting; Implement recommendation services to support decision-making; Draw insights from text data at scale with NLP services; Extrac ...
Machine Learning for High-Risk Applications
Machine Learning for High-Risk Applications

The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes approaches to responsible AI - a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public. Learn technical approaches for responsible AI across explainability, model validation and debugging, bias management, data privacy, and ML security; Lea ...
Learning OpenCV
Learning OpenCV

This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised. -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library wi ...
Web Audio API
Web Audio API

Go beyond HTML5's Audio tag and boost the audio capabilities of your web application with the Web Audio API. Packed with lots of code examples, crisp descriptions, and useful illustrations, this concise guide shows you how to use this JavaScript API to make the sounds and music of your games and interactive applications come alive. You need little or no digital audio expertise to get started. Author Boris Smus introduces you to digital audio concepts, then shows you how the Web Audio API solves specific application audio problems. You'll not only learn how to synthesize and process digital audio, you'll also explore audio analysis and visualization with this API. ...
Game Invaders
Game Invaders

Presenting a holistic and thoroughly practical investigation of the true nature of computer games that arms readers with a small yet powerful set of theories for developing unique approaches to understanding games. Game Invaders fully integrates genre theory, new media aesthetics, perceptual opportunities, and semiotics into a practical DIY toolkit for games analysis—offering detailed guidance for how to conduct in-depth critiques of game content and gameplay. Featuring an informal and witty writing style, the book devotes a number of chapters to specific games from all eras, clearly demonstrating the practical application of the theories to modern, large-scale computer games. ...
Design of Logic-based Intelligent Systems
Design of Logic-based Intelligent Systems

Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done by humans but are difficult for machines. Current Artificial Intelligence (AI) approaches rely on various constructs and methods (production rules, neural nets, support vector machines, fuzzy logic, Bayesian networks, etc.). In contrast, this book uses an extension of propositional logic that treats all aspects of intelligent systems in a unified and mathematically compatible manner. ...
Natural Language Processing with PyTorch
Natural Language Processing with PyTorch

Natural Language Processing (NLP) offers unbounded opportunities for solving interesting problems in artificial intelligence, making it the latest frontier for developing intelligent, deep learning-based applications. If you're a developer or researcher ready to dive deeper into this rapidly growing area of artificial intelligence, this practical book shows you how to use the PyTorch deep learning framework to implement recently discovered NLP techniques. To get started, all you need is a machine learning background and experience programming with Python. Authors Delip Rao and Goku Mohandas provide you with a solid grounding in PyTorch, and deep learning algorithms, for building applications involving semantic representation of text. Each chapter includes several code examples and illustrations.Get extensive introductions to NLP, deep learning, and PyTorch;Understand traditional NLP methods, including NLTK, SpaCy, and gensim;Explore embeddings: high quality ...
Practical Python AI Projects
Practical Python AI Projects

Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models, and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations. Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study. Build basic Python-based artificial intelligence (AI) applications; Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite; Create several types of projects using Python ...
NLTK Essentials
NLTK Essentials

Natural Language Processing (NLP) is the field of artificial intelligence and computational linguistics that deals with the interactions between computers and human languages. With the instances of human-computer interaction increasing, it's becoming imperative for computers to comprehend all major natural languages. Natural Language Toolkit (NLTK) is one such powerful and robust tool. You start with an introduction to get the gist of how to build systems around NLP. We then move on to explore data science-related tasks, following which you will learn how to create a customized tokenizer and parser from scratch. Throughout, we delve into the essential concepts of NLP while gaining practical insights into various open source tools and libraries available in Python for NLP. You will then learn how to analyze social media sites to discover trending topics and perform sentiment analysis. Finally, you will see tools which will help you deal with large scale text. ...
Developing Bots with Microsoft Bots Framework
Developing Bots with Microsoft Bots Framework

Develop Intelligent Bots using Microsoft Bot framework (C# and Node.js), Visual Studio Enterprise & Code, MicrosoftAzure and Cognitive Services. This book shows you how to develop great Bots, publish to Azure and register with Bot portal so that customers canconnect and communicate using famous communication channels like Skype, Slack, Web and Facebook. You'll also learn how to build intelligence into Bots using Azure Cognitive Services like LUIS, OCR, Speech to Text and Web Search.Bots are the new face of user experience. Conversational User Interface provides many options to make userexperience richer, innovative and engaging with email, text, buttons or voice as the medium for communication.Modern line of business applications can be replaced or associated with Intelligent Bots that can use data/historycombined with Machine Intelligence to make user experience inclusive and exciting. With Developing Bots with Microsoft Bots Framework, you'll see just how simple Bot building can be. ...
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