Artificial Intelligence Learning Automation
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Artificial Intelligence
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Author : Chris Baker
language : en
Publisher:
Release Date : 2020-10-21
Artificial Intelligence written by Chris Baker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-21 with categories.
Everything you need to understand and implement Artificial Intelligence! Learn the potential consequences of Artificial Intelligence and how it will shape the world around us in the coming decades! Become familiar with how Artificial Intelligence aims to aid human cognitive limitations and how it is possible that in the future, the AI that humans create becomes inconceivable to humans themselves. And once you have an understanding of what AI is, you can move forward in your journey to create better informed industry-level business AI applications. The book bundle includes: Learning to teach machines to learn! Are you intrigued by the fact that artificial intelligence poses an existential threat to human beings and has been around for at least 60 years? If yes, then here is the best introductory review of Artificial Intelligence and its effects on human behavior and the market. The book is thoroughly examined, neatly composed, significantly intriguing, and insightful. Help yourself understand the concepts of AI and get insights regarding: ● A brief history of artificial intelligence ● The state of art of machine learning ● Artificial neural networks applied to machine learning ● How to build an AI-ready culture ● Effects of AI on our daily lives Adding persistent spirit to your business! Do you often come up with some innovative techniques to lead the industry? If yes, then this book is made for you! It will familiarize you with the advances in industry-level AI and will open your understanding of what to expect in sales shortly. Here is a preview of what you will learn: ● How AI can transform your business ● The correct mindset for social media marketing ● The epoch of chatbots ● How AI can help with recruitment ● Which platforms will best fit business in 2020 ● How AI helps in predicting consumer behavior patterns And More.....
Artificial Intelligence
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Author : Chris Baker
language : en
Publisher: Independently Published
Release Date : 2019-09-13
Artificial Intelligence written by Chris Baker and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-13 with categories.
Buy the paperback version for this book and get the kindle book version for free Everything you need to understand and implement Artificial Intelligence! Learn the potential consequences of Artificial Intelligence and how it will shape the world around us in the coming decades! Become familiar with how Artificial Intelligence aims to aid human cognitive limitations and how it is possible that in the future, the AI that humans create becomes inconceivable to humans themselves. And once you have an understanding of what AI is, you can move forward in your journey to create better informed industry-level business AI applications. The book bundle includes: Learning to teach machines to learn! Are you intrigued by the fact that artificial intelligence poses an existential threat to human beings and has been around for at least 60 years? If yes, then here is the best introductory review of Artificial Intelligence and its effects on human behavior and the market. The book is thoroughly examined, neatly composed, significantly intriguing, and insightful. Help yourself understand the concepts of AI and get insights regarding: ● A brief history of artificial intelligence ● The state of art of machine learning ● Artificial neural networks applied to machine learning ● How to build an AI-ready culture ● Effects of AI on our daily lives Adding persistent spirit to your business! Do you often come up with some innovative techniques to lead the industry? If yes, then this book is made for you! It will familiarize you with the advances in industry-level AI and will open your understanding of what to expect in sales shortly. Here is a preview of what you will learn: ● How AI can transform your business ● The correct mindset for social media marketing ● The epoch of chatbots ● How AI can help with recruitment ● Which platforms will best fit business in 2020 ● How AI helps in predicting consumer behavior patterns And More..... Would You Like To Know More? Scroll to the top of the page and select the buy now button.
Artificial Intelligence
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Author : Chris Baker
language : en
Publisher:
Release Date : 2020-10-21
Artificial Intelligence written by Chris Baker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-21 with categories.
Everything you need to understand and implement Artificial Intelligence! Learn the potential consequences of Artificial Intelligence and how it will shape the world around us in the coming decades! Become familiar with how Artificial Intelligence aims to aid human cognitive limitations and how it is possible that in the future, the AI that humans create becomes inconceivable to humans themselves. And once you have an understanding of what AI is, you can move forward in your journey to create better informed industry-level business AI applications. The book bundle includes: Learning to teach machines to learn! Are you intrigued by the fact that artificial intelligence poses an existential threat to human beings and has been around for at least 60 years? If yes, then here is the best introductory review of Artificial Intelligence and its effects on human behavior and the market. The book is thoroughly examined, neatly composed, significantly intriguing, and insightful. Help yourself understand the concepts of AI and get insights regarding: ● A brief history of artificial intelligence ● The state of art of machine learning ● Artificial neural networks applied to machine learning ● How to build an AI-ready culture ● Effects of AI on our daily lives Adding persistent spirit to your business! Do you often come up with some innovative techniques to lead the industry? If yes, then this book is made for you! It will familiarize you with the advances in industry-level AI and will open your understanding of what to expect in sales shortly. Here is a preview of what you will learn: ● How AI can transform your business ● The correct mindset for social media marketing ● The epoch of chatbots ● How AI can help with recruitment ● Which platforms will best fit business in 2020 ● How AI helps in predicting consumer behavior patterns And More.....
Intelligent Automation
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Author : Pascal Bornet
language : en
Publisher:
Release Date : 2020
Intelligent Automation written by Pascal Bornet and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
Introduction. Understanding IA - pt. 1. The promise of IA for a better world -- pt. 2. IA technologies explained -- pt. 3. How organizations succeed in implementing IA -- pt. 4. Reinventing society with IA - Conclusion. Our world urgently needs more IA! - Asset. IA use cases library - Appendix. List of IA experts who took part in the survey - Appendix. Artistic inspiration from IA.
Artificial Intelligence Learning Automation
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Author : Elham Hejo
language : en
Publisher: Independently Published
Release Date : 2025-09-19
Artificial Intelligence Learning Automation written by Elham Hejo and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-19 with Computers categories.
In today's fast-changing world, Artificial Intelligence Learning Automation is transforming the way businesses operate, innovate, and grow. This book is designed as A Complete Guide to AI in Business, helping readers understand how to apply intelligent systems and automation tools to real-world challenges. Whether you are looking to optimize operations, enhance customer experiences, or explore new opportunities, this guide provides a structured path for success. Starting from the basics and moving toward advanced applications, the content is built to support both AI for beginners and professionals interested in Mastering AI. Each chapter is written in a clear and practical style, showing how to turn complex ideas into actionable strategies. What You Will Learn: Guide AI in Business: How artificial intelligence reshapes industries, improves decision-making, and drives innovation. Business Process Automation: Techniques to streamline workflows, reduce costs, and improve efficiency. Natural Language Processing: Understanding how machines interpret human language to create smarter communication systems. Robotic Process Automation (RPA): Applying software robots to handle repetitive, high-volume business tasks. Machine Learning and Deep Learning: Practical insights into model development, training, and real-world applications. Master Machine Learning: From beginner-friendly concepts to building and deploying advanced models. Using AI for Beginners: Step-by-step explanations that make artificial intelligence approachable for anyone. Why This Book Stands Out: ✔️ Combines Artificial Intelligence Learning Automation with practical applications in Business Process Automation. ✔️ Explains Machine Learning and Deep Learning with clarity, making them accessible to beginners and professionals alike. ✔️ Shows real examples of how companies apply Guide AI in Business to gain competitive advantages. ✔️ Addresses ethical challenges such as privacy, fairness, and accountability, ensuring responsible use of AI. Who Should Read This Book? Entrepreneurs and business leaders who want to leverage Guide AI in Business. Developers and engineers aiming at Mastering AI and applying Robotic Process Automation (RPA). Students and researchers interested in Artificial Intelligence Learning Automation and the foundations of Machine Learning. Beginners looking for a practical path in using AI for beginners without overwhelming technical details. This book is more than a technical manual; it is a roadmap that connects Artificial Intelligence Learning Automation with real-world opportunities. It shows how Business Process Automation, Natural Language Processing, and Robotic Process Automation (RPA) can create smarter organizations, while Machine Learning and Deep Learning open the door to innovation. If you are searching for A Complete Guide to AI in Business, one that integrates using AI for beginners with the tools needed to Master Machine Learning and advance in Mastering AI, this book is your essential resource. Take the first step into the future of technology and business with confidence - your journey into the world of Artificial Intelligence Learning Automation starts here.
Artificial Intelligence
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Author : Darlene Baldwin
language : en
Publisher:
Release Date : 2022-09-03
Artificial Intelligence written by Darlene Baldwin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-03 with categories.
Artificial Intelligence became one of the hottest topics in the modern economy, where everything is driven by software, network and data. There exists nearly no startup nor traditional business where Artificial Intelligence is not used extensively across many fields such as search engines, image recognition, robotics or finance. This book gives a ground up, step by step introduction about how a Neural Network is used to learn a given function and to make intelligent data-driven decisions. In this book, you will learn: How to ensure success in building artificial intelligence products, How to mitigate risks through best practices, How to create a long-lasting value with artificial intelligence, How to prevent mistakes to build artificial intelligence solutions. This revised and fully updated fourth edition contains several new sections, covering a broader set of topics than before, but retains the no-nonsense style of the original. Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations that understand these tools and know how to use them are benefiting at the expense of their rivals.
Automation And Autonomy
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Author : James Steinhoff
language : en
Publisher: Springer Nature
Release Date : 2021-06-21
Automation And Autonomy written by James Steinhoff and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-21 with Political Science categories.
This book argues that Marxist theory is essential for understanding the contemporary industrialization of the form of artificial intelligence (AI) called machine learning. It includes a political economic history of AI, tracking how it went from a fringe research interest for a handful of scientists in the 1950s to a centerpiece of cybernetic capital fifty years later. It also includes a political economic study of the scale, scope and dynamics of the contemporary AI industry as well as a labour process analysis of commercial machine learning software production, based on interviews with workers and management in AI companies around the world, ranging from tiny startups to giant technology firms. On the basis of this study, Steinhoff develops a Marxist analysis to argue that the popular theory of immaterial labour, which holds that information technologies increase the autonomy of workers from capital, tending towards a post-capitalist economy, does not adequately describe the situation of high-tech digital labour today. In the AI industry, digital labour remains firmly under the control of capital. Steinhoff argues that theories discerning therein an emergent autonomy of labour are in fact witnessing labour’s increasing automation.
Artificial Intelligence
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Author :
language : en
Publisher:
Release Date : 2024
Artificial Intelligence written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Automated Machine Learning
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Author : Frank Hutter
language : en
Publisher: Springer
Release Date : 2019-05-17
Automated Machine Learning written by Frank Hutter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-17 with Computers categories.
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
Machine Learning Automation With Tpot
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Author : Dario Radecic
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-05-07
Machine Learning Automation With Tpot written by Dario Radecic 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 2021-05-07 with Computers categories.
Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate Key FeaturesUnderstand parallelism and how to achieve it in Python.Learn how to use neurons, layers, and activation functions and structure an artificial neural network.Tune TPOT models to ensure optimum performance on previously unseen data.Book Description The automation of machine learning tasks allows developers more time to focus on the usability and reactivity of the software powered by machine learning models. TPOT is a Python automated machine learning tool used for optimizing machine learning pipelines using genetic programming. Automating machine learning with TPOT enables individuals and companies to develop production-ready machine learning models cheaper and faster than with traditional methods. With this practical guide to AutoML, developers working with Python on machine learning tasks will be able to put their knowledge to work and become productive quickly. You'll adopt a hands-on approach to learning the implementation of AutoML and associated methodologies. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will show you how to build automated classification and regression models and compare their performance to custom-built models. As you advance, you'll also develop state-of-the-art models using only a couple of lines of code and see how those models outperform all of your previous models on the same datasets. By the end of this book, you'll have gained the confidence to implement AutoML techniques in your organization on a production level. What you will learnGet to grips with building automated machine learning modelsBuild classification and regression models with impressive accuracy in a short timeDevelop neural network classifiers with AutoML techniquesCompare AutoML models with traditional, manually developed models on the same datasetsCreate robust, production-ready modelsEvaluate automated classification models based on metrics such as accuracy, recall, precision, and f1-scoreGet hands-on with deployment using Flask-RESTful on localhostWho this book is for Data scientists, data analysts, and software developers who are new to machine learning and want to use it in their applications will find this book useful. This book is also for business users looking to automate business tasks with machine learning. Working knowledge of the Python programming language and beginner-level understanding of machine learning are necessary to get started.