A Developer S Guide To Building Ai Applications 2nd Edition
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A Developer S Guide To Building Ai Applications 2nd Edition
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Author : Elaine Chang
language : en
Publisher:
Release Date : 2020
A Developer S Guide To Building Ai Applications 2nd Edition written by Elaine Chang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
AI is everywhere. Once the sole domain of researchers and institutions, this technology has emerged in a wide variety of areas, including network infrastructure, platforms, and services. With AI, software developers now have the means to build a variety of intelligent solutions. This report lets you check out AI's possibilities hands-on. You'll learn how to create a virtual assistant-a conversational AI application that can understand language, perceive vast amounts of information, and respond intelligently. Authors Elaine Chang and Darren Jefford will guide you through the many AI resources and capabilities now available to developers. Jump in and discover powerful and innovative ways to approach hard-to-solve problems. You'll explore: How artificial intelligence works in the cloud Azure AI's services, infrastructure, and tools for developing AI apps Microsoft's Bot Framework ecosystem and the lifecycle of conversational AI app development How to use Bot Framework to deliver tailored conversational assistant experiences Expert guidance for developing your conversational AI app Channels and adapters that help conversational experiences reach end users Analytics tools for conversational AI applications How Azure AI encourages you to create responsible and trustworthy solutions.
Artificial Intelligence With Python
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Author : Alberto Artasanchez
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-01-31
Artificial Intelligence With Python written by Alberto Artasanchez 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 2020-01-31 with Computers categories.
New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description 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. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
Constructing Intelligent Agents Using Java
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Author : Joseph P. Bigus
language : en
Publisher: Wiley
Release Date : 2001
Constructing Intelligent Agents Using Java written by Joseph P. Bigus and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
A state-of-the-art guide on how to build intelligent Web-based applications using Java Joseph and Jennifer Bigus update and significantly expand their book on building intelligent Web-based applications using Java. Geared to network programmers or Web developers who have previously programmed agents in Smalltalk or C++, this practical book explains in detail how to construct agents capable of learning and competing, including both design principles and actual code for personal agents, network or Web agents, multi-agent systems and commercial agents. New and revised coverage includes agent tools, agent uses for Web applications (including personalization, cross-selling, and e-commerce), and additional AI technologies such as fuzzy logic and genetic algorithms.
Artificial Intelligence With Python
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Author : Prateek Joshi
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-01-27
Artificial Intelligence With Python written by Prateek Joshi 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 2017-01-27 with Computers categories.
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Ai And Machine Learning For Coders
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Author : Laurence Moroney
language : en
Publisher: O'Reilly Media
Release Date : 2020-10-01
Ai And Machine Learning For Coders written by Laurence Moroney 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 2020-10-01 with Computers categories.
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
Openshift For Developers
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Author : Joshua Wood
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-09
Openshift For Developers written by Joshua Wood 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 2021-09 with Computers categories.
Ready to build cloud native applications? Get a hands-on introduction to daily life as a developer crafting code on OpenShift, the open source container application platform from Red Hat. Creating and packaging your apps for deployment on modern distributed systems can be daunting. Too often, adding infrastructure value can complicate development. With this practical guide, you'll learn how to build, deploy, and manage a multitiered application on OpenShift. Authors Joshua Wood and Brian Tannous demonstrate how OpenShift speeds application development. With the Kubernetes container orchestrator at its core, OpenShift simplifies and automates the way you build, ship, and run code. You'll learn how to use OpenShift and the Quarkus Java framework to develop and deploy apps using proven enterprise technologies and practices that you can apply to code in any language. Learn the development cycles for building and deploying on OpenShift, and the tools that drive them Use OpenShift to build, deploy, and manage the ongoing lifecycle of an n-tier application Create a continuous integration and deployment pipeline to turn your source code changes into production rollouts Automate scaling decisions with metrics and trigger lifecycle events with webhooks
Ant The Definitive Guide
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Author : Steve Holzner
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2005-04-13
Ant The Definitive Guide written by Steve Holzner 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 2005-04-13 with Computers categories.
Soon after its launch, Ant succeeded in taking the Java world by storm, becoming the most widely used tool for building applications in Java environments. Like most popular technologies, Ant quickly went through a series of early revision cycles. With each new version, more functionality was added, and more complexity was introduced. Ant evolved from a simple-to-learn build tool into a full-fledged testing and deployment environment.Ant: The Definitive Guide has been reworked, revised and expanded upon to reflect this evolution. It documents the new ways that Ant is being applied, as well as the array of optional tasks that Ant supports. In fact, this new second edition covers everything about this extraordinary build management tool from downloading and installing, to using Ant to test code. Here are just of a few of the features you'll find detailed in this comprehensive, must-have guide: Developing conditional builds, and handling error conditions Automatically retrieving source code from version control systems Using Ant with XML files Using Ant with JavaServer Pages to build Web applications Using Ant with Enterprise JavaBeans to build enterprise applications Far exceeding its predecessor in terms of information and detail, Ant: The Definitive Guide, 2nd Edition is a must-have for Java developers unfamiliar with the latest advancements in Ant technology. With this book at your side, you'll soon be up to speed on the premiere tool for cross-platform development.Author Steve Holzner is an award-winning author who s been writing about Java topics since the language first appeared; his books have sold more than 1.5 million copies worldwide.
Ai And Machine Learning For On Device Development
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Author : Laurence Moroney
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-08-12
Ai And Machine Learning For On Device Development written by Laurence Moroney 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 2021-08-12 with Computers categories.
Chapter 2. Introduction to Computer Vision -- Using Neurons for Vision -- Your First Classifier: Recognizing Clothing Items -- The Data: Fashion MNIST -- A Model Architecture to Parse Fashion MNIST -- Coding the Fashion MNIST Model -- Transfer Learning for Computer Vision -- Summary -- Chapter 3. Introduction to ML Kit -- Building a Face Detection App on Android -- Step 1: Create the App with Android Studio -- Step 2: Add and Configure ML Kit -- Step 3: Define the User Interface -- Step 4: Add the Images as Assets -- Step 5: Load the UI with a Default Picture.
Mulesoft For Salesforce Developers
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Author : Akshata Sawant
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-28
Mulesoft For Salesforce Developers written by Akshata Sawant 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 2025-02-28 with Computers categories.
Design, secure, test, and deploy APIs with MuleSoft, and learn to integrate it with Salesforce by utilizing the latest features Key Features Work with the new additions to MuleSoft like Visual Editor, Anypoint Code Builder, and AI Enhance your MuleSoft expertise by incorporating AI and automation Prepare to achieve MCD Level 1 certification with expert insights from Akshata Sawant and Arul Christhuraj Alphonse Purchase of the print or Kindle book includes a free PDF eBook Book Description Salesforce developers often need help with complex integrations to manage multi-cloud environments, data mapping, data security, API scalability, and real-time integration issues. Written by industry veterans with 20+ years of experience, this revised edition will help you overcome these challenges and unlock data with MuleSoft. In this second edition, you’ll learn about MuleSoft’s newest IDE (aka Anypoint Code Builder) and its tools and capabilities. The chapters will show you how to use AI-enabled APIs to maximize productivity, integration of Data Cloud with MuleSoft, Mule APIs with AI agents, and Mule AI Chain connectors. You’ll grasp the fundamentals of APIs and integration and confidently design your APIs, while also utilizing a no-code visual editor for API design to build your Mule applications using MuleSoft’s Anypoint Code Builder. The chapters will teach you about data transformation, API management, deployment models, and MuleSoft’s security features. Progressively, you’ll leverage MuleSoft connectors to integrate with Salesforce, Data Cloud, and other systems. You’ll explore AI-driven integrations and automation, and get practical tips to ace MuleSoft interviews and achieve MCD Level 1 certification. By the end of this book, you’ll be able to implement the entire API lifecycle and manage complex integrations with MuleSoft like a pro. What will you learn Understand the fundamentals of MuleSoft APIs and integrations Unlock siloed data and implement the API lifecycle with MuleSoft's latest capabilities Get started with AnyPoint Code Builder with the capabilities of MuleSoft IDEs Understand DataWeave to build, secure, transform, and test MuleSoft applications Explore CloudHub 2.0 features along with other deployment models Gain expertise in MuleSoft connectors, security configuration, and integration of AI and automation Attain practical guidance and interview tips to achieve MCD level 1 certification Who this book is for This book is for Salesforce developers starting their journey with MuleSoft. Salesforce architects will also find the concepts beneficial for effective solutions. A basic understanding of any programming language, fundamental integration concepts, familiarity with APIs, and basic knowledge of Salesforce development are necessary. Experience with at least one Salesforce API is needed—be it SOAP, REST, Bulk, or Streaming API.
Beginning Powerapps
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Author : Tim Leung
language : en
Publisher: Apress
Release Date : 2017-11-27
Beginning Powerapps written by Tim Leung and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-27 with Computers categories.
Build mobile apps that specifically target your company’s unique business needs, with the same ease of writing a simple spreadsheet! With this book, you will build business apps designed to work with your company's systems and databases, without having to enlist the expertise of costly, professionally trained software developers. In Beginning PowerApps, author and business applications expert Tim Leung guides you step-by-step through the process of building your own mobile app. He assumes no technical background, although if you have worked with Excel, you are one step closer. He guides you through scenarios, such as what to do if you have existing databases with complex data structures and how to write screens that can connect to those data. You will come away with an understanding of how to set up screen navigation, manipulate data from within apps, and write solutions to perform specific tasks. What You'll Learn Connect with data Write formulas Visualize your data through charts Work with global positioning systems (GPS) Build flows Import and export data Manage offline scenarios Develop custom application programming interfaces (API) Who This Book Is For Beginners and non-developers, and assumes no prior knowledge of PowerApps