Combining Machine Learning And Business

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Combining Machine Learning and Business

Author : Yusep Maulana
Publisher : OYUSEP
ISBN 13 :
Total Pages : 171 pages
Book Rating : 4./5 ( download)

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Book Synopsis Combining Machine Learning and Business by : Yusep Maulana

Download or read book Combining Machine Learning and Business written by Yusep Maulana and published by OYUSEP. This book was released on 2024-04-09 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's rapidly advancing digital era, the application of machine learning in various business aspects has become a crucial key in driving innovation and success. "Combining Machine Learning and Business" is designed to provide deep insights into how the integration of machine learning and business strategy can bring about significant transformation. This book not only elaborates on concepts and theories but further takes the reader on an applied research journey that has been undertaken. The author of this book, Yusep Maulana, has spent months conducting in-depth research on the application of machine learning technology in business, with a particular focus on case studies in Switzerland and the Netherlands. Through hands-on experience and direct collaboration with business practitioners in both countries, Yusep has managed to gather valuable data and insights on how machine learning can be integrated into business processes to enhance efficiency, innovation, and competitive advantage. This book presents the results of that research in an accessible way to readers, whether they are academics, business practitioners, students, or anyone with an interest in the field of machine learning and its application in the business world. It is hoped that readers will gain a broader and more applied understanding of the potential and challenges in combining machine learning with business strategy.

Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions

Author : Matt Taddy
Publisher : McGraw Hill Professional
ISBN 13 : 1260452786
Total Pages : 384 pages
Book Rating : 4.2/5 (64 download)

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Book Synopsis Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions by : Matt Taddy

Download or read book Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions written by Matt Taddy and published by McGraw Hill Professional. This book was released on 2019-08-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: •Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling•Understand how use ML tools in real world business problems, where causation matters more that correlation•Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science.

Machine Learning for Business

Author : Doug Hudgeon
Publisher : Simon and Schuster
ISBN 13 : 1638353972
Total Pages : 410 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Machine Learning for Business by : Doug Hudgeon

Download or read book Machine Learning for Business written by Doug Hudgeon and published by Simon and Schuster. This book was released on 2019-12-24 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen Think about the benefits of forecasting tedious business processes and back-office tasks Envision quickly gauging customer sentiment from social media content (even large volumes of it). Consider the competitive advantage of making decisions when you know the most likely future events Machine learning can deliver these and other advantages to your business, and it’s never been easier to get started! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Machine learning can deliver huge benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, identify and keep your best customers, and optimize back office processes. This book shows you how. About the book Machine Learning for Business teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you’ll work through six projects that help you form an ML-for-business mindset. To guarantee your success, you’ll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results. What's inside Identifying tasks suited to machine learning Automating back office processes Using open source and cloud-based tools Relevant case studies About the reader For technically inclined business professionals or business application developers. About the author Doug Hudgeon and Richard Nichol specialize in maximizing the value of business data through AI and machine learning for companies of any size. Table of Contents: PART 1 MACHINE LEARNING FOR BUSINESS 1 ¦ How machine learning applies to your business PART 2 SIX SCENARIOS: MACHINE LEARNING FOR BUSINESS 2 ¦ Should you send a purchase order to a technical approver? 3 ¦ Should you call a customer because they are at risk of churning? 4 ¦ Should an incident be escalated to your support team? 5 ¦ Should you question an invoice sent by a supplier? 6 ¦ Forecasting your company’s monthly power usage 7 ¦ Improving your company’s monthly power usage forecast PART 3 MOVING MACHINE LEARNING INTO PRODUCTION 8 ¦ Serving predictions over the web 9 ¦ Case studies

Data Science For Business

Author : Dr Daniel James
Publisher :
ISBN 13 :
Total Pages : 106 pages
Book Rating : 4.5/5 (21 download)

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Book Synopsis Data Science For Business by : Dr Daniel James

Download or read book Data Science For Business written by Dr Daniel James and published by . This book was released on 2021-06-15 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundаmеntаl соnсерtѕ A ѕеt оf саnоnісаl data mining tаѕkѕ; The dаtа mining рrосеѕѕ; Supervised vеrѕuѕ unsupervised dаtа mining. An іmроrtаnt рrіnсірlе оf dаtа ѕсіеnсе is that data mining іѕ a рrосеѕѕ wіth fairly wеllundеrѕtооd ѕtаgеѕ. Some іnvоlvе the application оf information tесhnоlоgу, ѕuсh аѕ thе аutоmаtеd discovery and еvаluаtіоn of раttеrnѕ frоm dаtа, whіlе others mostly require аn аnаlуѕt'ѕ сrеаtіvіtу, buѕіnеѕѕ knowledge, and соmmоn sense. Undеrѕtаndіng the whole рrосеѕѕ hеlрѕ tо structure dаtа mіnіng рrоjесtѕ, ѕо thеу are closer tо ѕуѕtеmаtіс analyses rаthеr thаn heroic еndеаvоrѕ driven bу chance аnd individual асumеn. Sіnсе thе dаtа mining рrосеѕѕ breaks up thе оvеrаll tаѕk оf fіndіng раttеrnѕ frоm dаtа іntо a ѕеt of wеll-dеfіnеd subtasks, it is аlѕо uѕеful fоr ѕtruсturіng discussions about dаtа ѕсіеnсе. In this bооk, we wіll uѕе the process аѕ аn оvеrаrсhіng frаmеwоrk fоr оur dіѕсuѕѕіоn. Thіѕ chapter іntrоduсеѕ thе data mіnіng process, but fіrѕt we рrоvіdе аddіtіоnаl соntеxt by dіѕсuѕѕіng common tуреѕ оf dаtа mining tasks. Introducing thеѕе аllоwѕ us to bе mоrе соnсrеtе when рrеѕеntіng the overall рrосеѕѕ, аѕ well аѕ whеn introducing other соnсерtѕ іn subsequent сhарtеrѕ. Fundаmеntаl соnсерtѕ A ѕеt оf саnоnісаl data mining tаѕkѕ; The dаtа mining рrосеѕѕ; Supervised vеrѕuѕ unsupervised dаtа mining. An іmроrtаnt рrіnсірlе оf dаtа ѕсіеnсе is that data mining іѕ a рrосеѕѕ wіth fairly wеllundеrѕtооd ѕtаgеѕ. Some іnvоlvе the application оf information tесhnоlоgу, ѕuсh аѕ thе аutоmаtеd discovery and еvаluаtіоn of раttеrnѕ frоm dаtа, whіlе others mostly require аn аnаlуѕt'ѕ сrеаtіvіtу, buѕіnеѕѕ knowledge, and соmmоn sense. Undеrѕtаndіng the whole рrосеѕѕ hеlрѕ tо structure dаtа mіnіng рrоjесtѕ, ѕо thеу are closer tо ѕуѕtеmаtіс analyses rаthеr thаn heroic еndеаvоrѕ driven bу chance аnd individual асumеn. Sіnсе thе dаtа mining рrосеѕѕ breaks up thе оvеrаll tаѕk оf fіndіng раttеrnѕ frоm dаtа іntо a ѕеt of wеll-dеfіnеd subtasks, it is аlѕо uѕеful fоr ѕtruсturіng discussions about dаtа ѕсіеnсе. In this bооk, we wіll uѕе the process аѕ аn оvеrаrсhіng frаmеwоrk fоr оur dіѕсuѕѕіоn. Thіѕ chapter іntrоduсеѕ thе data mіnіng process, but fіrѕt we рrоvіdе аddіtіоnаl соntеxt by dіѕсuѕѕіng common tуреѕ оf dаtа mining tasks. Introducing thеѕе аllоwѕ us to bе mоrе соnсrеtе when рrеѕеntіng the overall рrосеѕѕ, аѕ well аѕ whеn introducing other соnсерtѕ іn subsequent сhарtеrѕ.

The Economics of Artificial Intelligence

Author : Ajay Agrawal
Publisher : University of Chicago Press
ISBN 13 : 0226833127
Total Pages : 172 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Automated Machine Learning for Business

Author : Kai R. Larsen
Publisher : Oxford University Press
ISBN 13 : 0190941650
Total Pages : 353 pages
Book Rating : 4.1/5 (99 download)

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Book Synopsis Automated Machine Learning for Business by : Kai R. Larsen

Download or read book Automated Machine Learning for Business written by Kai R. Larsen and published by Oxford University Press. This book was released on 2021 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book teaches the full process of how to conduct machine learning in an organizational setting. It develops the problem-solving mind-set needed for machine learning and takes the reader through several exercises using an automated machine learning tool. To build experience with machine learning, the book provides access to the industry-leading AutoML tool, DataRobot, and provides several data sets designed to build deep hands-on knowledge of machinelearning.

Artificial Intelligence in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1119548985
Total Pages : 232 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Artificial Intelligence in Practice by : Bernard Marr

Download or read book Artificial Intelligence in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2019-04-15 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Augmented Intelligence

Author : Judith Hurwitz
Publisher : CRC Press
ISBN 13 : 0429591659
Total Pages : 142 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Augmented Intelligence by : Judith Hurwitz

Download or read book Augmented Intelligence written by Judith Hurwitz and published by CRC Press. This book was released on 2019-12-06 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful, it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human–Machine Collaboration is about the process of combining human and machine intelligence. This book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets. This book focuses on the requirement to clearly manage the foundational data used for augmented intelligence. It focuses on the risks of improper data use and delves into the ethics and governance of data in the era of augmented intelligence. In this book, we explore the difference between weak augmentation that is based on automating well understood processes and strong augmentation that is designed to rethink business processes through the inclusion of data, AI and machine learning. What experts are saying about Augmented Intelligence "The book you are about to read is of great importance because we increasingly rely on machine learning and AI. Therefore, it is critical that we understand the ability to create an environment in which businesses can have the tools to understand data from a holistic perspective. What is imperative is to be able to make better decisions based on an understanding of the behavior and thinking of our customers so that we can take the best next action. This book provides a clear understanding of the impact of augmented intelligence on both society and business."—Tsvi Gal, Managing Director, Enterprise Technology and Services, Morgan Stanley "Our mission has always been to help clients apply AI to better predict and shape future outcomes, empower higher value work, and automate how work gets done. I have always said, ’AI will not replace managers, but managers who use AI will replace managers who don't.’ This book delves into the real value that AI promises, to augment existing human intelligence, and in the process, dispels some of the myths around AI and its intended purpose."—Rob Thomas, General Manager, Data and AI, IBM

Artificial Intelligence for Business

Author : Doug Rose
Publisher : Pearson
ISBN 13 : 9780136556619
Total Pages : 0 pages
Book Rating : 4.5/5 (566 download)

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Book Synopsis Artificial Intelligence for Business by : Doug Rose

Download or read book Artificial Intelligence for Business written by Doug Rose and published by Pearson. This book was released on 2020-09-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Millions of non-technical professionals and leaders want to understand Artificial Intelligence (AI) and Machine Learning (ML) -- whether to improve their businesses, be more effective citizens, consumers or policymakers, or just out of sheer curiosity. Until now, most books on the subject have either been too complicated and mathematical, or have simply avoided the big picture by focusing on the use of specific software libraries. In Artificial Intelligence for Business , Doug Rose bridges the gap, offering today's most accessible and useful introduction to AI and ML technologies -- and what they can and can't do. Rose begins by tracing AI's evolution from the early 1950s to the present, illuminating core ideas that still drive its development. Next, he explores recent innovations that have reinvigorated the field by providing the "big data" that makes machine learning so powerful - innovations such as GPS, social media and electronic transactions. Finally, he explains how today's machines learn by combining powerful processing, advanced algorithms, and artificial neural networks that mimic the human brain. Throughout, he illustrates key concepts with practical examples that help you connect AI, ML, and neural networks to specific problems and solutions. Step by step, he systematically demystifies these powerful technologies, removing the fear, bewilderment, and advanced math -- so you can understand the new possibilities they create, and start using them.

The AI-Powered Product Manager

Author : Luis Jurado
Publisher : Luis Jurado
ISBN 13 : 9781739400439
Total Pages : 0 pages
Book Rating : 4.4/5 (4 download)

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Book Synopsis The AI-Powered Product Manager by : Luis Jurado

Download or read book The AI-Powered Product Manager written by Luis Jurado and published by Luis Jurado. This book was released on 2023-05-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The AI-Powered Product Manager: Combining Strategy and Technology is a comprehensive guide designed to equip product managers with the knowledge and tools needed to excel in the rapidly evolving world of AI and Machine Learning. This book aims to bridge the gap between traditional product management practices and the cutting-edge techniques needed to develop and manage AI-powered products. In this 400+ page guide, you will delve deep into the following key areas: Understanding the growing importance of Machine Learning and AI in product management and why it is crucial to learn the correct procedures. Mastering the art of business strategy for Machine Learning and AI by exploring traditional algorithms, ML and AI model innovations, and hypothesis building and testing. Grasping essential technology and concepts, including Machine Learning, Deep Learning, and the differences between Supervised, Unsupervised, and Reinforcement Learning. Navigating product discovery with AI, identifying problems and opportunities, user research methods, developing user personas, and prototyping with ML and AI. Implementing the best advice and trends in data management for ML and AI, including data growth strategies, open data, company data, and crowdsourcing labelled data. Excelling at product development for ML/AI, such as problem-solving approaches, prioritisation, MVP and MVD concepts, agile methodologies, and Data Kanban in product development. Building and evaluating high-performance AI models while setting model performance metrics, understanding test data, and optimising for user experience. Mastering trial phases in ML and AI product deployment, defining success criteria, selecting the right models, minimising bias, and scaling successful trials. Streamlining deployment and continuous deployment, monitoring models, selecting feedback metrics, implementing user feedback loops, and shadow deployments. Learning how to manage Data Scientists and ML Engineers effectively, understanding ML and AI hierarchy needs and roles, and managing team workflows. Improving communication skills with internal stakeholders, setting data expectations, active listening, compelling storytelling, and running effective meetings. Addressing privacy and bias concerns in AI and Machine Learning, understanding user concerns, security issues, AI amplifying human bias, and adhering to data laws and regulations. In addition, the book concludes with a thoughtful exploration of the future of product management and Machine Learning, offering a summary of key takeaways and recommendations for continued learning. Whether you are a seasoned product manager or just starting your career in this dynamic field, The AI-Powered Product Manager: Combining Strategy and Technology is your indispensable resource for mastering the knowledge and skills needed to thrive in the age of AI and Machine Learning.

Artificial Intelligence Business Applications

Author : Oliver Tensor
Publisher :
ISBN 13 : 9781914284069
Total Pages : 122 pages
Book Rating : 4.2/5 (84 download)

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Book Synopsis Artificial Intelligence Business Applications by : Oliver Tensor

Download or read book Artificial Intelligence Business Applications written by Oliver Tensor and published by . This book was released on 2020-12-24 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Growing Adaptive Machines

Author : Taras Kowaliw
Publisher : Springer
ISBN 13 : 3642553370
Total Pages : 266 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Growing Adaptive Machines by : Taras Kowaliw

Download or read book Growing Adaptive Machines written by Taras Kowaliw and published by Springer. This book was released on 2014-06-04 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks. The book consists of contributions from 18 researchers, ranging from detailed reviews of recent domains by senior scientists, to exciting new contributions representing the state of the art in machine learning research. The book begins with broad overviews of artificial neurogenesis and bio-inspired machine learning, suitable both as an introduction to the domains and as a reference for experts. Several contributions provide perspectives and future hypotheses on recent highly successful trains of research, including deep learning, the Hyper NEAT model of developmental neural network design, and a simulation of the visual cortex. Other contributions cover recent advances in the design of bio-inspired artificial neural networks, including the creation of machines for classification, the behavioural control of virtual agents, the desi gn of virtual multi-component robots and morphologies and the creation of flexible intelligence. Throughout, the contributors share their vast expertise on the means and benefits of creating brain-like machines. This book is appropriate for advanced students and practitioners of artificial intelligence and machine learning.

Artificial Intelligence in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1119548217
Total Pages : 351 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Artificial Intelligence in Practice by : Bernard Marr

Download or read book Artificial Intelligence in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2019-05-28 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Artificial Intelligence and Machine Learning for Business

Author : Steven Finlay
Publisher : Relativistic
ISBN 13 : 9781999730345
Total Pages : 194 pages
Book Rating : 4.7/5 (33 download)

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Book Synopsis Artificial Intelligence and Machine Learning for Business by : Steven Finlay

Download or read book Artificial Intelligence and Machine Learning for Business written by Steven Finlay and published by Relativistic. This book was released on 2018-07 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original.

Machine Learning for Decision Makers

Author : Patanjali Kashyap
Publisher : Apress
ISBN 13 : 1484229886
Total Pages : 381 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Machine Learning for Decision Makers by : Patanjali Kashyap

Download or read book Machine Learning for Decision Makers written by Patanjali Kashyap and published by Apress. This book was released on 2018-01-04 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making. The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business. What You Will Learn Discover the machine learning, big data, and cloud and cognitive computing technology stack Gain insights into machine learning concepts and practices Understand business and enterprise decision-making using machine learning Absorb machine-learning best practices Who This Book Is For Managers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.

Human-in-the-Loop Machine Learning

Author : Robert Munro
Publisher : Simon and Schuster
ISBN 13 : 1617296740
Total Pages : 422 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Human-in-the-Loop Machine Learning by : Robert Munro

Download or read book Human-in-the-Loop Machine Learning written by Robert Munro and published by Simon and Schuster. This book was released on 2021-07-20 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.

Machine Learning

Author : Oliver Tensor
Publisher :
ISBN 13 : 9781914284427
Total Pages : 368 pages
Book Rating : 4.2/5 (844 download)

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Book Synopsis Machine Learning by : Oliver Tensor

Download or read book Machine Learning written by Oliver Tensor and published by . This book was released on 2021-01-20 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get this book with 55% discount !! Do you want to learn the progress made in the web marketing space and how you can exploit it for your marketing strategies? Do you want to gain an edge over your business's competitors?If you want to know How Machine Learning and Artificial Intelligence Technology can give your business a major performance boost, then keep reading. The Fourth Industrial Revolution is upon us, led by the Artificial Intelligence technology and setting the humankind for a global social transformation. The powerful applications of AI have already transformed our daily lives. Tools such as virtual personal and home assistants (like Siri in Apple Pods and Alexa in Amazon Echo) have become everyday usage products. Moreover, our digital lives have inundated organizations with astronomical volumes of data with hidden treasures of valuable insights. This information can be uncovered with the use of big data analytics and applied in combination with the Artificial Intelligence technology to increase your business performance efficiency. Learning to incorporate the Artificial Intelligence applications, Machine Learning, and Big Data Analytics in line with your company's domain can only give your business positive results. Machine Learning: The Definive Guide includes 3 books - Machine Learning for Beginners- Artificial Intelligence Business Applications- Artificial Intelligence and Machine Learning for Business Our aim with this book is to provide you a 360 view of the fundamentals and importance of Machine Learning and Artificial Intelligence Technology. You Will Learn: The Fundamentals of Artificial Intelligence and Machine Learning Applications, and Why are They so Important in the World Today. Gain an In-depth Understanding of 12 of the Most Popular Artificial Intelligence Tools in the Market, in an Easy to Understand and Colloquial Language. The Science of Big Data and How Companies are Increasingly Employing Good Analytical Tools to Makes Sense of an Estimated 1.7 MB of Data that will be Generated per Second per Person by 2020. What Different Types of Machine Learning Algorithms are and How They Work to Make Machines Able to Learn and Train themselves with Repeated Use. Even if you are a beginner, you will be armed to make sound personal and professional technological choices.