Ai System Blueprints


Ai System Blueprints
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Ai Blueprints


Ai Blueprints
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Author : Dr. Joshua Eckroth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-31

Ai Blueprints written by Dr. Joshua Eckroth 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 2018-12-31 with Computers categories.


The essential blueprints and workflow you need to build successful AI business applications Key FeaturesLearn and master the essential blueprints to program AI for real-world business applicationsGain insights into how modern AI and machine learning solve core business challengesAcquire practical techniques and a workflow that can build AI applications using state-of-the-art software librariesWork with a practical, code-based strategy for creating successful AI solutions in your businessBook Description AI Blueprints gives you a working framework and the techniques to build your own successful AI business applications. You’ll learn across six business scenarios how AI can solve critical challenges with state-of-the-art AI software libraries and a well thought out workflow. Along the way you’ll discover the practical techniques to build AI business applications from first design to full coding and deployment. The AI blueprints in this book solve key business scenarios. The first blueprint uses AI to find solutions for building plans for cloud computing that are on-time and under budget. The second blueprint involves an AI system that continuously monitors social media to gauge public feeling about a topic of interest - such as self-driving cars. You’ll learn how to approach AI business problems and apply blueprints that can ensure success. The next AI scenario shows you how to approach the problem of creating a recommendation engine and monitoring how those recommendations perform. The fourth blueprint shows you how to use deep learning to find your business logo in social media photos and assess how people interact with your products. Learn the practical techniques involved and how to apply these blueprints intelligently. The fifth blueprint is about how to best design a ‘trending now’ section on your website, much like the one we know from Twitter. The sixth blueprint shows how to create helpful chatbots so that an AI system can understand customers’ questions and answer them with relevant responses. This book continuously demonstrates a working framework and strategy for building AI business applications. Along the way, you’ll also learn how to prepare for future advances in AI. You’ll gain a workflow and a toolbox of patterns and techniques so that you can create your own smart code. What you will learnAn essential toolbox of blueprints and advanced techniques for building AI business applicationsHow to design and deploy AI applications that meet today’s business needsA workflow from first design stages to practical code solutions in your next AI projectsSolutions for AI projects that involve social media analytics and recommendation enginesPractical projects and techniques for sentiment analysis and helpful chatbotsA blueprint for AI projects that recommend products based on customer purchasing habitsHow to prepare yourself for the next decade of AI and machine learning advancementsWho this book is for Programming AI Business Applications provides an introduction to AI with real-world examples. This book can be read and understood by programmers and students without requiring previous AI experience. The projects in this book make use of Java and Python and several popular and state-of-the-art opensource AI libraries.



Ai System Blueprints


Ai System Blueprints
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Author : Kunal Miind
language : en
Publisher: BAKER & MCGILL
Release Date : 2022-01-02

Ai System Blueprints written by Kunal Miind and has been published by BAKER & MCGILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-02 with Computers categories.


"AI System Blueprints: An Introductory Guide to Building High Performance Artificial Intelligence & Machine Learning Solutions" by Kunal Miind is an exhaustive resource for those seeking a firm foundation in the ever-changing field of artificial intelligence and machine learning. The book begins with an introduction to the fundamentals of machine learning, including the various forms of learning, important algorithms, and fundamental concepts. The section then delves into vital data preparation steps such as collection, cleansing, and feature engineering. The following chapters discuss model selection and evaluation, deep learning fundamentals, natural language processing, and computer vision. The book also explores reinforcement learning's component parts and algorithms. By providing a clear and concise comprehension of these fundamental topics, Kunal Miind's book equips readers with the knowledge necessary to develop high-performance AI and machine learning solutions for practical applications.



Hands On Artificial Intelligence With Unreal Engine


Hands On Artificial Intelligence With Unreal Engine
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Author : Francesco Sapio
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-04-25

Hands On Artificial Intelligence With Unreal Engine written by Francesco Sapio 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 2019-04-25 with Computers categories.


Unreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. If you want to use AI to extend the play-life of your games and make them more challenging and fun, this book is for you. It will help you break down AI into simple concepts to give you a fundamental understanding of each of the topics.



Artificial Intelligence And The Environment


Artificial Intelligence And The Environment
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Author : Cindy Mason
language : en
Publisher:
Release Date : 2020-07-07

Artificial Intelligence And The Environment written by Cindy Mason and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-07 with Computers categories.


"This volume reports 16 AI projects on engineering sustainability using AI, Machine Learning, Signal Processing, Databases and other Technologies (Hybrid AI). Sixty scientists contribute to the volume on ‘Boots on the Ground’ topics including fire fighting, forestry sustainability, flood prediction, algae bloom prediction, water pollution prediction, sewage treatment, recycling and resource consumption. There are also ‘Data, Data Everywhere’ topics including biodiversity cataloguing, plant physiology and climate modeling, forest ecosystem modelling, satellite data aggregation and viewing and weather forecasting. The contributions of each team of scientists, AI researchers and engineers has been assembled with a set of helpful questions and answers called “Classroom Connection” at the end of each chapter. The existence of this book serves to document the AI projects in existence and some of the people who have been actively working to create sustainability using AI. Inside you’ll find many examples of hybrid AI - systems so complex, they need every AI trick in the book to solve them, and then some. The book is presented at the 2019 U.N. Climate Summit in Madrid Spain."--Publisher's description.



Blueprint For An Ai Bill Of Rights


Blueprint For An Ai Bill Of Rights
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Author :
language : en
Publisher:
Release Date : 2022

Blueprint For An Ai Bill Of Rights written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Administrative agencies categories.


White House Office of Science and Technology Policy has identified five principles that should guide the design, use, and deployment of automated systems to protect the American public in the age of artificial intelligence. The Blueprint for an AI Bill of Rights is a guide for a society that protects all people from these threats--and uses technologies in ways that reinforce our highest values. Responding to the experiences of the American public, and informed by insights from researchers, technologists, advocates, journalists, and policymakers, this framework is accompanied by a technical companion--a handbook for anyone seeking to incorporate these protections into policy and practice, including detailed steps toward actualizing these principles in the technological design process. These principles help provide guidance whenever automated systems can meaningfully impact the public's rights, opportunities, or access to critical needs.



Blueprints For Text Analytics Using Python


Blueprints For Text Analytics Using Python
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Author : Jens Albrecht
language : en
Publisher: O'Reilly Media
Release Date : 2020-12-04

Blueprints For Text Analytics Using Python written by Jens Albrecht 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 2020-12-04 with Computers categories.


Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always clear which NLP tools or libraries would work for a business's needs, or which techniques you should use and in what order. This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly. Extract data from APIs and web pages Prepare textual data for statistical analysis and machine learning Use machine learning for classification, topic modeling, and summarization Explain AI models and classification results Explore and visualize semantic similarities with word embeddings Identify customer sentiment in product reviews Create a knowledge graph based on named entities and their relations



Revolutionizing The Blueprint


Revolutionizing The Blueprint
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Author : Abebe-Bard Ai Woldemariam
language : en
Publisher: 1A
Release Date : 2024-01-12

Revolutionizing The Blueprint written by Abebe-Bard Ai Woldemariam and has been published by 1A this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-12 with Computers categories.


Revolutionizing the Blueprint: AI Takes Control of Construction Oversight CONVERSATIONAL CHAT INFORMATIVE BOOK By ABEBE- BARD AI WOLDEMARIAM This book explores the transformative potential of artificial intelligence (AI) in construction oversight. It dives deep into how AI technologies can revolutionize various aspects of construction management, from real-time monitoring and quality control to enhanced safety, improved scheduling, and optimized workflows. Key Topics: From Eye on the Ground to Eye in the Sky: This section explores real-time monitoring with AI, including drone surveillance, sensor-based data collection, and automated reporting. Beyond Bricks and Mortar: This part focuses on AI's role in improving safety and quality control, covering AI-powered inspections, hazard prediction, and wearable technology for worker wellbeing. Time is Money, Efficiency is Gold: This section explores how AI optimizes workflows through predictive scheduling, scenario simulations, and intelligent decision-making assistance. The Power of Data, the Promise of Progress: This part highlights the benefits of AI-powered oversight, including increased efficiency, reduced errors, enhanced safety, cost savings, and data-driven insights. Challenges and Chinks in the Armor: This section tackles the challenges of AI adoption in construction, including data security, algorithmic bias, integration with existing systems, and the need for human-AI collaboration. The Blueprint for the Future: This concluding section envisions a future where AI empowers construction with ethical considerations, sustainability, and collaboration at its core. Target Audience: This book is ideal for: Construction professionals (owners, contractors, engineers, architects) Technology enthusiasts interested in AI applications Business leaders exploring AI integration in their industries Anyone curious about the future of construction with AI Unique Selling Points: Comprehensive overview of AI applications in construction oversight. Practical insights for construction professionals to leverage AI tools. Collaborative authorship by both AI and human experts. Focus on ethical considerations and responsible AI development. Overall, "Revolutionizing the Blueprint" offers a compelling and insightful exploration of the transformative power of AI in construction, paving the way for a safer, smarter, and more efficient future for the industry.



Opencv 3 Blueprints


Opencv 3 Blueprints
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Author : Joseph Howse
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-11-10

Opencv 3 Blueprints written by Joseph Howse 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 2015-11-10 with Computers categories.


Expand your knowledge of computer vision by building amazing projects with OpenCV 3 About This Book Build computer vision projects to capture high-quality image data, detect and track objects, process the actions of humans or animals, and much more Discover practical and interesting innovations in computer vision while building atop a mature open-source library, OpenCV 3 Familiarize yourself with multiple approaches and theories wherever critical decisions need to be made Who This Book Is For This book is ideal for you if you aspire to build computer vision systems that are smarter, faster, more complex, and more practical than the competition. This is an advanced book intended for those who already have some experience in setting up an OpenCV development environment and building applications with OpenCV. You should be comfortable with computer vision concepts, object-oriented programming, graphics programming, IDEs, and the command line. What You Will Learn Select and configure camera systems to see invisible light, fast motion, and distant objects Build a “camera trap”, as used by nature photographers, and process photos to create beautiful effects Develop a facial expression recognition system with various feature extraction techniques and machine learning methods Build a panorama Android application using the OpenCV stitching module in C++ with NDK support Optimize your object detection model, make it rotation invariant, and apply scene-specific constraints to make it faster and more robust Create a person identification and registration system based on biometric properties of that person, such as their fingerprint, iris, and face Fuse data from videos and gyroscopes to stabilize videos shot from your mobile phone and create hyperlapse style videos In Detail Computer vision is becoming accessible to a large audience of software developers who can leverage mature libraries such as OpenCV. However, as they move beyond their first experiments in computer vision, developers may struggle to ensure that their solutions are sufficiently well optimized, well trained, robust, and adaptive in real-world conditions. With sufficient knowledge of OpenCV, these developers will have enough confidence to go about creating projects in the field of computer vision. This book will help you tackle increasingly challenging computer vision problems that you may face in your careers. It makes use of OpenCV 3 to work around some interesting projects. Inside these pages, you will find practical and innovative approaches that are battle-tested in the authors' industry experience and research. Each chapter covers the theory and practice of multiple complementary approaches so that you will be able to choose wisely in your future projects. You will also gain insights into the architecture and algorithms that underpin OpenCV's functionality. We begin by taking a critical look at inputs in order to decide which kinds of light, cameras, lenses, and image formats are best suited to a given purpose. We proceed to consider the finer aspects of computational photography as we build an automated camera to assist nature photographers. You will gain a deep understanding of some of the most widely applicable and reliable techniques in object detection, feature selection, tracking, and even biometric recognition. We will also build Android projects in which we explore the complexities of camera motion: first in panoramic image stitching and then in video stabilization. By the end of the book, you will have a much richer understanding of imaging, motion, machine learning, and the architecture of computer vision libraries and applications! Style and approach This book covers a combination of theory and practice. We examine blueprints for specific projects and discuss the principles behind these blueprints, in detail.



Generative Ai Transformation Blueprint


Generative Ai Transformation Blueprint
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Author : I. Almeida
language : en
Publisher: Now Next LaterAI
Release Date : 2023-11-30

Generative Ai Transformation Blueprint written by I. Almeida and has been published by Now Next LaterAI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-30 with Business & Economics categories.


2024 Edition. This practical and concise guide provides senior decision-makers with a clear, accessible roadmap for harnessing the power of generative AI, enhancing innovation, and boosting business outcomes. Drawing on insights from AI-enabled business transformations in diverse sectors, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation. This scenario-based approach helps leaders understand where and how to apply the practices outlined. Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap. This book is designed for busy executives and can be read in less than two hours. For a more in-depth exploration of Generative AI for business, check out our book "Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype." Who this Book is For The core audience comprises senior executives like CEOs, transformation advisors, strategic planners, technology heads, product leaders, or functional unit heads keen on harnessing generative AI for a competitive edge but needing authoritative counsel consolidating recent lessons into a crisp, actionable package to aid planning. More Than a Book By purchasing this book, you will also be granted free access to the AI Academy platform. There you can view free course modules, test your knowledge through quizzes, attend webinars, and engage in discussion with other readers. AI Academy by Now Next Later AI We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically.



Cognitive Carpentry


Cognitive Carpentry
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Author : John L. Pollock
language : en
Publisher: National Geographic Books
Release Date : 2003-01-01

Cognitive Carpentry written by John L. Pollock and has been published by National Geographic Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-01 with Psychology categories.


A sequel to Pollock's How to Build a Person, this volume builds upon that theoretical groundwork for the implementation of rationality through artificial intelligence. Pollock argues that progress in AI has stalled because of its creators' reliance upon unformulated intuitions about rationality. Instead, he bases the OSCAR architecture upon an explicit philosophical theory of rationality, encompassing principles of practical cognition, epistemic cognition, and defeasible reasoning. In his groundbreaking new book, John Pollock establishes an outpost at the crossroads where artificial intelligence meets philosophy. Specifically, he proposes a general theory of rationality and then describes its implementation in OSCAR, an architecture for an autonomous rational agent he claims is the first AI system capable of performing reasoning that philosophers would regard as epistemically sophisticated. A sequel to Pollock's How to Build a Person, this volume builds upon that theoretical groundwork for the implementation of rationality through artificial intelligence. Pollock argues that progress in AI has stalled because of its creators' reliance upon unformulated intuitions about rationality. Instead, he bases the OSCAR architecture upon an explicit philosophical theory of rationality, encompassing principles of practical cognition, epistemic cognition, and defeasible reasoning. One of the results is the world's first automated defeasible reasoner capable of reasoning in a rich, logical environment. Underlying Pollock's thesis is a conviction that the tenets of artifical intelligence and those of philosophy can be complementary and mutually beneficial. And, while members of both camps have in recent years grown skeptical of the very possibility of "symbol processing" AI, Cognitive Carpentry establishes that such an approach to AI can be successful. A Bradford Book