Real World Ai
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Real World Ai
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Author : Alyssa Simpson Rochwerger
language : en
Publisher: Lioncrest Publishing
Release Date : 2021-03-16
Real World Ai written by Alyssa Simpson Rochwerger and has been published by Lioncrest Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-16 with categories.
How can you successfully deploy AI? When AI works, it's nothing short of brilliant, helping companies make or save tremendous amounts of money while delighting customers on an unprecedented scale. When it fails, the results can be devastating. Most AI models never make it out of testing, but those failures aren't random. This practical guide to deploying AI lays out a human-first, responsible approach that has seen more than three times the success rate when compared to the industry average. In Real World AI, Alyssa Simpson Rochwerger and Wilson Pang share dozens of AI stories from startups and global enterprises alike featuring personal experiences from people who have worked on global AI deployments that impact billions of people every day. AI for business doesn't have to be overwhelming. Real World AI uses plain language to walk you through an AI approach that you can feel confident about-for your business and for your customers.
Artificial Intelligence In The Real World
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Author : George Anthony Kulz
language : en
Publisher: North Star Editions, Inc.
Release Date : 2020-01-01
Artificial Intelligence In The Real World written by George Anthony Kulz and has been published by North Star Editions, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-01 with Juvenile Nonfiction categories.
Explores how artificial intelligence is currently being used in the real world, including in health care, retail, manufacturing, and homes. Clear text, vibrant photos, and helpful infographics make this book an accessible and engaging read.
Federated Ai For Real World Business Scenarios
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Author : Dinesh C. Verma
language : en
Publisher: CRC Press
Release Date : 2021-10-01
Federated Ai For Real World Business Scenarios written by Dinesh C. Verma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Computers categories.
This book provides an overview of Federated Learning and how it can be used to build real-world AI-enabled applications. Real-world AI applications frequently have training data distributed in many different locations, with data at different sites having different properties and different formats. In many cases, data movement is not permitted due to security concerns, bandwidth, cost or regulatory restriction. Under these conditions, techniques of federated learning can enable creation of practical applications. Creating practical applications requires implementation of the cycle of learning from data, inferring from data, and acting based on the inference. This book will be the first one to cover all stages of the Learn-Infer-Act cycle, and presents a set of patterns to apply federation to all stages. Another distinct feature of the book is the use of real-world applications with an approach that discusses all aspects that need to be considered in an operational system, including handling of data issues during federation, maintaining compliance with enterprise security policies, and simplifying the logistics of federated AI in enterprise contexts. The book considers federation from a manner agnostic to the actual AI models, allowing the concepts to be applied to all varieties of AI models. This book is probably the first one to cover the space of enterprise AI-based applications in a holistic manner.
Intelligent Projects Using Python
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Author : Santanu Pattanayak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-31
Intelligent Projects Using Python written by Santanu Pattanayak 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 2019-01-31 with Computers categories.
Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key FeaturesA go-to guide to help you master AI algorithms and concepts8 real-world projects tackling different challenges in healthcare, e-commerce, and surveillanceUse TensorFlow, Keras, and other Python libraries to implement smart AI applicationsBook Description This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python. The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI. By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle. What you will learnBuild an intelligent machine translation system using seq-2-seq neural translation machinesCreate AI applications using GAN and deploy smart mobile apps using TensorFlowTranslate videos into text using CNN and RNNImplement smart AI Chatbots, and integrate and extend them in several domainsCreate smart reinforcement, learning-based applications using Q-LearningBreak and generate CAPTCHA using Deep Learning and Adversarial Learning Who this book is for This book is intended for data scientists, machine learning professionals, and deep learning practitioners who are ready to extend their knowledge and potential in AI. If you want to build real-life smart systems to play a crucial role in every complex domain, then this book is what you need. Knowledge of Python programming and a familiarity with basic machine learning and deep learning concepts are expected to help you get the most out of the book
Artificial Intelligence For The Real World
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Author :
language : en
Publisher:
Release Date : 2018
Artificial Intelligence For The Real World written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Artificial intelligence categories.
This Is Real Ai
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Author : Jacob Bergdahl
language : en
Publisher:
Release Date : 2020-05-10
This Is Real Ai written by Jacob Bergdahl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-10 with categories.
Did you know?The world's best flu vaccine was recently discovered with artificial intelligence (AI). Progressive organizations are using AI to invent new food recipes, perfume scents, and alcoholic beverages. Children in more than 200 cities across China are being tutored by AI. In the US, AI has secured political victories for both Barack Obama and Donald Trump. News articles are being written by AI autonomously. Police authorities around the globe are using AI to track and identify suspects. AI is being used to explore Mars, scan pizzas, automate warehouses, write music, pick apples, analyze phone conversations, remake video games, detect cancer, flip burgers, mimic world leaders, commit mass-surveillance, match job candidates, and find lost dogs.These are the stories that This Is Real AI is all about. This Is Real AI is a non-technical book that makes AI easy to understand. One hundred diverse real-world implementations of AI are explained short-form and to the point, without any technical lingo. The book gives you information of value within minutes. There are examples of how AI is being used by both colossal multinational corporations and tiny new startups. There are stories from both technical and non-technical organizations; stories of mundane day-to-day uses and stories of exciting innovations; stories that are terrifying and stories that are exhilarating.There is no technology more crucial to understand today than AI. Yet while many are curious about it, they often feel lost. Some may feel as though AI is difficult to comprehend and certainly challenging to apply. With This Is Real AI, Jacob Bergdahl makes artificial intelligence accessible to anyone, regardless of their technical level. The author presents a non-technical and easy-to-apply framework that explains how to create value with AI through either automation or augmentation, using one of four AI strategies: efficiency, effectiveness, expert, and innovation. Naturally, key topics such as machine learning, natural language processing, and deepfakes are covered in the book.This Is Real AI is not another book about the future.It's a book about the present.
Practical Deep Learning For Cloud Mobile And Edge
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Author : Anirudh Koul
language : en
Publisher: O'Reilly Media
Release Date : 2019-10-14
Practical Deep Learning For Cloud Mobile And Edge written by Anirudh Koul 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 2019-10-14 with Computers categories.
Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
Foundations Of Real World Intelligence
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Author : Yoshinori Uesaka
language : en
Publisher: Center for the Study of Language and Information Publica Tion
Release Date : 2001
Foundations Of Real World Intelligence written by Yoshinori Uesaka and has been published by Center for the Study of Language and Information Publica Tion this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Artificial intelligence categories.
Real-world intelligence includes the ability to handle complex, uncertain, dynamic, multi-modal information in real time. In order to pursue the artificial realization of such "human" or "intelligent" information processing, a novel system of representing and interpreting knowledge must first be developed. This book collects the results of ten years of research at six laboratories, focusing on the theoretical and algorithmic foundations of the intelligence we find in the real world.
Real World Ai Ethics For Data Scientists
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Author : Nachshon (Sean) Goltz
language : en
Publisher: CRC Press
Release Date : 2023-04-13
Real World Ai Ethics For Data Scientists written by Nachshon (Sean) Goltz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Computers categories.
In the midst of the fourth industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists – the modern AI alchemists. But great power comes with greater responsibility. This book seeks to shape, in a practical, diverse, and inclusive way, the ethical compass of those entrusted with big data. Being practical, this book provides seven real-world case studies dealing with big data abuse. These cases span a range of topics from the statistical manipulation of research in the Cornell food lab through the Facebook user data abuse done by Cambridge Analytica to the abuse of farm animals by AI in a chapter co-authored by renowned philosophers Peter Singer and Yip Fai Tse. Diverse and inclusive, given the global nature of this revolution, this book provides case-by-case commentary on the cases by scholars representing non-Western ethical approaches (Buddhist, Jewish, Indigenous, and African) as well as Western approaches (consequentialism, deontology, and virtue). We hope this book will be a lighthouse for those debating ethical dilemmas in this challenging and ever-evolving field.
Artificial Intelligence And Machine Learning Fundamentals
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Author : Zsolt Nagy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-12
Artificial Intelligence And Machine Learning Fundamentals written by Zsolt Nagy 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 2018-12-12 with Computers categories.
Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).