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Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI

Mary-Jo Diepeveen

The artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data.This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.You’ll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you’ll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you’ll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you’ll work through principles such as privacy, fairness, and transparency to use AI responsibly.By the end of this book, you’ll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.

370
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Artificial Intelligence with Python. A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Prateek Joshi

Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps which intelligently interact with the world around you, building intelligent recommender systems, automatic speech recognition systems and more.Starting with AI basics you'll move on to learn how to develop building blocks using data mining techniques. Discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios. This practical book covers a range of topics including predictive analytics and deep learning.

371
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Artificial Intelligence with Python Cookbook. Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

Ritesh Kumar, Ben Auffarth

Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research.Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems.By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production.

372
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Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - Second Edition

Alberto Artasanchez, Prateek Joshi

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications.This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data.Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.

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Artificial Vision and Language Processing for Robotics. Create end-to-end systems that can power robots with artificial vision and deep learning techniques

Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai...

Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video.By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment.

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ASP.NET 3.5 CMS Development. Build, Manage, and Extend your own Content Management System

Jeff Cochran, Curt Christianson

ASP.NET 3.5 is equipped with a built-in security system, standard design templates, and easy configurations for database connections, which make it the ideal language for building a content management system. With the strong community support for the ASP.NET platform, you can be assured that what you write today will be around and supported for years to come. You can imagine how easy it is to get lost in the myriad features especially if you are a newcomer.This book shows you how to make use of ASP.NET's features and create a functional Content Management System quickly and conveniently. You will learn how to build your site and see the different ways in which you can customize your code to fit your needs. With this book in hand, you can easily set up users and groups, create valuable content for your users, and manage the layout of your site efficiently. All you need is a basic understanding of coding and a desire to learn, and this book will take care of the rest.This book will teach you to get your site up and running quickly, and maintain its content even if you have little or no web design or programming experience. It will give you all the knowledge you need to use the tools as well as the code required to make yourself a strong developer far beyond your site. It begins with setting up your programming environment and coding a Content Management System. You will learn how to install and configure a database and connect it to your CMS. You will be able to create content and manage the layout of your site, and also make it available beyond the browser. At the end of this book, you will have designed and built a CMS that allows you to administer an Articles section, Images and Files sections, as well as a full set of Administrator tools for your site.

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ASP.NET 3.5 Social Networking. An expert guide to building enterprise-ready social networking and community applications with ASP.NET 3.5

Andrew Siemer

Each chapter starts by showing the user experience we are going to create in the chapter. It then has a section discussing the major design decisions we face in building these features, and finally presents the 'solution' – including the overall architecture and highlighting the most important code elements. The book presents a lot of real-world code, with comprehensive explanation and discussion. The full social network application is available for download from the Packt website, for you to examine, study, and modify. This book is written for ASP.NET and C# developers who want to build an enterprise-grade Social Network, either for their own business purposes or as a contract job for another company. The book assumes you have prior experience of developing web applications using ASP.NET 3.5, C# 3.0, SQL Server 2005/2008, and Visual Studio .NET 2008; it focuses on topics that will be of interest to existing developers – not on providing step-by-step examples for each detail.