Introducing HR Analytics with Machine Learning

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Publisher : Springer Nature
ISBN 13 : 3030676269
Total Pages : 266 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Introducing HR Analytics with Machine Learning by : Christopher M. Rosett

Download or read book Introducing HR Analytics with Machine Learning written by Christopher M. Rosett and published by Springer Nature. This book was released on 2021-06-14 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists and practitioners can harness new information to help guide positive change in the workplace. In order for today’s organizational psychologists to successfully work with their partners they must go beyond behavioral science into the realms of computing and business acumen. Similarly, today’s data scientists must appreciate the unique aspects of behavioral data and the special circumstances which surround HR data and HR systems. Finally, traditional HR professionals must become familiar with research methods, statistics, and data systems in order to collaborate with these new specialized partners and teams. Despite the increasing importance of this diversity of skill, many organizations are still unprepared to build teams with the comprehensive skills necessary to have high performing HR Analytics functions. And importantly, all these considerations are magnified by the introduction and acceleration of machine learning in HR. This book will serve as an introduction to these areas and provide guidance on building the connectivity across domains required to establish well-rounded skills for individuals and best practices for organizations when beginning to apply advanced analytics to workforce data. It will also introduce machine learning and where it fits within the larger HR Analytics framework by explaining many of its basic tenets and methodologies. By the end of the book, readers will understand the skills required to do advanced HR analytics well, as well as how to begin designing and applying machine learning within a larger human capital strategy.

Introduction to People Analytics

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Publisher : Kogan Page Publishers
ISBN 13 : 1398610054
Total Pages : 401 pages
Book Rating : 4.3/5 (986 download)

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Book Synopsis Introduction to People Analytics by : Nadeem Khan

Download or read book Introduction to People Analytics written by Nadeem Khan and published by Kogan Page Publishers. This book was released on 2023-07-03 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can HR practitioners with little or no experience of analytics feel confident in their ability to find, analyse and use workforce data to make better business decisions? This book has the answers. An understanding of people analytics is a crucial skill for all HR professionals. This new edition provides expert guidance on the key aspects of analytics, enabling all HR professionals to feel confident in their ability to handle employee and organizational data. It features new material on applying data to respond to external disruption such as COVID-19 as well as how to develop a people analytics journey. There is also advice on recruiting people analytics specialists and embedding new data-driven operating models within HR. This book is essential reading for all HR professionals to develop understanding of how and where HR analytics can make a tangible difference to organizations. With updated case studies and thought leadership examples from companies including NHS, AstraZeneca and Swarovski, this book demonstrates how people analytics can be leveraged to improve culture and employee engagement, increase performance and reduce costs.

Predictive HR Analytics

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Publisher : Kogan Page Publishers
ISBN 13 : 0749484454
Total Pages : 537 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Predictive HR Analytics by : Dr Martin R. Edwards

Download or read book Predictive HR Analytics written by Dr Martin R. Edwards and published by Kogan Page Publishers. This book was released on 2019-03-03 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: HR metrics and organizational people-related data are an invaluable source of information from which to identify trends and patterns in order to make effective business decisions. But HR practitioners often lack the statistical and analytical know-how to fully harness the potential of this data. Predictive HR Analytics provides a clear, accessible framework for understanding and working with people analytics and advanced statistical techniques. Using the statistical package SPSS (with R syntax included), it takes readers step by step through worked examples, showing them how to carry out and interpret analyses of HR data in areas such as employee engagement, performance and turnover. Readers are shown how to use the results to enable them to develop effective evidence-based HR strategies. This second edition has been updated to include the latest material on machine learning, biased algorithms, data protection and GDPR considerations, a new example using survival analyses, and up-to-the-minute screenshots and examples with SPSS version 25. It is supported by a new appendix showing main R coding, and online resources consisting of SPSS and Excel data sets and R syntax with worked case study examples.

Introduction to HR Technologies

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Publisher : Kogan Page Publishers
ISBN 13 : 1789665280
Total Pages : 209 pages
Book Rating : 4.7/5 (896 download)

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Book Synopsis Introduction to HR Technologies by : Stacey Harris

Download or read book Introduction to HR Technologies written by Stacey Harris and published by Kogan Page Publishers. This book was released on 2021-07-03 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology can have huge benefits for the HR function. Whether it's saving time by streamlining processes, boosting engagement by enabling analysis of people data or improving employee development by allowing staff to access the content they need on different platforms, wherever and whenever they need it; the opportunities are vast. However, with more apps, software and platforms than ever before, the volume and variety of available technologies can be overwhelming. This makes it extremely difficult for HR professionals to know where to start when assessing what technologies are out there and which are worth investing in. Introduction to HR Technologies addresses these issues in clear, accessible and jargon-free language and is an indispensable guide for HR professionals needing to get to grips with technologies and understand how to use them to add tangible business value. Covering all the core areas of HR including recruitment, performance management, learning and development (L&D) and reward, Introduction to HR Technologies allows practitioners to identify areas where technologies can be used to drive performance and what to look for when assessing technological solutions. There is also discussion of artificial intelligence (AI), machine learning and the Internet of Things (IoT) and what they mean for HR. This book is essential reading for all HR professionals looking to use technology confidently to increase performance, improve processes and add value to both employees and the business as a whole.

Fundamentals of HR Analytics

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Author :
Publisher : Emerald Group Publishing
ISBN 13 : 1789739632
Total Pages : 169 pages
Book Rating : 4.7/5 (897 download)

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Book Synopsis Fundamentals of HR Analytics by : Fermin Diez

Download or read book Fundamentals of HR Analytics written by Fermin Diez and published by Emerald Group Publishing. This book was released on 2019-11-11 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing practical, hands-on approaches to connect data to HR policies and practices to help influence overall business performance, this book is an essential resource for aspiring, new and experienced HR professionals across a wide range of industrial contexts.

Proceedings of International Conference on Deep Learning, Computing and Intelligence

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Publisher : Springer Nature
ISBN 13 : 9811656525
Total Pages : 698 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of International Conference on Deep Learning, Computing and Intelligence by : Gunasekaran Manogaran

Download or read book Proceedings of International Conference on Deep Learning, Computing and Intelligence written by Gunasekaran Manogaran and published by Springer Nature. This book was released on 2022-04-26 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the International Conference on Deep Learning, Computing and Intelligence (ICDCI 2021), organized by Department of Information Technology, SRM Institute of Science and Technology, Chennai, India, during January 7–8, 2021. The conference is sponsored by Scheme for Promotion of Academic and Research Collaboration (SPARC) in association with University of California, UC Davis and SRM Institute of Science and Technology. The book presents original research in the field of deep learning algorithms and medical imaging systems, focusing to address issues and developments in recent approaches, algorithms, mechanisms, and developments in medical imaging.

HR Analytics

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Author :
Publisher : Numerical Insights LLC
ISBN 13 : 1492739162
Total Pages : 120 pages
Book Rating : 4.4/5 (927 download)

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Book Synopsis HR Analytics by : Tracey Smith

Download or read book HR Analytics written by Tracey Smith and published by Numerical Insights LLC. This book was released on 2013-10-22 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can HR show value? With 20+ years of analytical expertise, the author guides you into the land of HR analytics to answer this question. The reader of this book is a business leader, an HR leader, analyst, student or just plain curious about what analytics in the Human Resource function is all about. It is intended for the business-minded individual interested in learning about the strategic advantages which can be obtained from performing analytics on the wealth of data stored in HR systems. The book begins with a brief history of the evolution of HR information and explains some of the differences between the stages of information progression. It also provides an opinion on who needs to know these differences and who doesn’t. The book moves on to provide advice on how to best select metrics for HR and how to approach an analysis is an organized way. A full chapter is dedicated to practical examples in order to assist the reader in generating ideas of how to provide value to the organization. Examples are provided using simple and more advanced techniques. The intent, however, is to show where value can be found in HR data and not to provide instruction on mathematical techniques. For the HR leader, the book will go on to examine the advantages and disadvantages of trying to build these capabilities in-house and will provide a realistic view of the challenges associated with implementing analytics in Human Resources. For the HR analyst, a section is included to discuss the realistic challenges you will face in collecting and analyzing HR data. Those entering this field or thinking about it, can then go in with their eyes wide open. A brief introduction to Strategic Workforce Planning is provided because it overlaps with HR analytics in one of its major steps. Finally, the book provides advice and opinions on data analysis and visualization tools available to the HR professional. What Will This Book Do for Me? Before the reader embarks on his / her journey through the pages of this book, it is important to know the types of questions that will be answered. Only then can the reader determine the true value of this material for his / her business. The list below is not all inclusive, but will provide the reader with an idea on how the information contained herein can be used. 1. How can I show some HR analytics quick wins to my leadership team? 2. What are the evolutionary stages of analytics and in what stage are most businesses? 3. How can I organize my analysis efforts? 4. What can regression analysis do for me? 5. How can I link HR to the business? 6. How can I get strategic value out of an HR survey? 7. Should I have an in-house analytics group? If so, which skill sets should I look for? 8. What challenges can I realistically expect to face if I head into HR analytics? Under the new pressure for Human Resources to provide higher value to the company, answering these and similar questions for the organization will increase the strategic level of Human Resources.

Talent Tectonics

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Publisher : John Wiley & Sons
ISBN 13 : 1119885191
Total Pages : 327 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Talent Tectonics by : Steven T. Hunt

Download or read book Talent Tectonics written by Steven T. Hunt and published by John Wiley & Sons. This book was released on 2022-08-31 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to attract, retain, develop, and engage people for a changing world of work Shifting demographics combined with the digitalization of all aspects of life are transforming the nature of work. This is forcing companies to rethink how they design jobs and recruit, develop, and engage employees. In Talent Tectonics: Navigating Global Workforce Shifts, Building Resilient Organizations, and Reimagining the Employee Experience, Dr. Steven Hunt explains how technology is changing the purpose of work and why creating effective employee experiences is critical to building organizations that can thrive in a world of accelerating change and growing skill shortages. In the book, you’ll find insights from the perspective of a person who has worked with thousands of companies around the globe using technology to build effective workforces. The book explores how business strategy, organizational psychology, and work technology interact to create nimble companies. The book discusses the future, but its focus is on the present, identifying things companies can do now to attract critical talent and create resilient organizations including: How to manage different types of employee experiences to create engaged and adaptable workforces How technology can enable large organizations to act more like small, agile, entrepreneurial companies. Rethinking employee recruitment, development, and engagement to create supportive, inclusive, and resilient organizational cultures Perfect for human resources professionals, employee experience managers, and business leaders responsible for building effective workforces, Talent Tectonics belongs in the libraries of every leader, employee, and professional invested in ensuring that their organization can attract, retain, and develop the talent needed to achieve its strategic goals.

Applying Advanced Analytics to HR Management Decisions

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Author :
Publisher : Pearson Education
ISBN 13 : 0133064603
Total Pages : 177 pages
Book Rating : 4.1/5 (33 download)

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Book Synopsis Applying Advanced Analytics to HR Management Decisions by : James C. Sesil

Download or read book Applying Advanced Analytics to HR Management Decisions written by James C. Sesil and published by Pearson Education. This book was released on 2014 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dramatically improve human capital management decisions by applying advanced analytics and "Big Data" technologies and processes! Pioneering HR technology expert James Sesil identifies widespread flaws in today's HR decision-making processes, and reveals how advanced analytics can help organizations make far more robust decisions about employee selection, performance management, strategy alignment, collaboration, and more. In this book he shows how to integrate Business Intelligence, ERP, Strategy Maps, Talent Management Suites, and advanced analytics -- and use them together to make far better decisions. You'll learn how to measure and improve the value of HCM decision-making in workforce/succession planning, talent acquisition, career development, corporate learning, and beyond. Sesil teaches key lessons from sources ranging from online dating services to Moneyball-style sports player selection processes. He shows how to systematically improve decision-making through more complete and sophisticated collaboration and new Collective Intelligence approaches. You'll learn how to use both internal and external data sources more effectively, and review a wide variety of advanced tools now available from vendors such as OrcaEyes, Vemo, Aruspex, Peoplefluent, Infor/Lawson, DecisionLens, Oracle, Ultimate, Cogniti, IBM, SAP, and Microsoft. Sesil concludes by demonstrating how to build "data driven" cultures and organizations that truly want to bring objectivity to decision-making, and will actually use these remarkable new tools. This book will be an invaluable resource for every HR executive, manager, analyst, and IT professional seeking new opportunities for competitive advantage through human capital and technological innovation.

Intelligent Manufacturing and Energy Sustainability

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Publisher : Springer Nature
ISBN 13 : 9813344431
Total Pages : 775 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Intelligent Manufacturing and Energy Sustainability by : A.N.R. Reddy

Download or read book Intelligent Manufacturing and Energy Sustainability written by A.N.R. Reddy and published by Springer Nature. This book was released on 2021-04-02 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2020) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during August 21-22, 2020. It covers topics in the areas of automation, manufacturing technology and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy and energy sustainability.

Competing on Analytics

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Publisher : Harvard Business Press
ISBN 13 : 1422156303
Total Pages : 243 pages
Book Rating : 4.4/5 (221 download)

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Book Synopsis Competing on Analytics by : Thomas H. Davenport

Download or read book Competing on Analytics written by Thomas H. Davenport and published by Harvard Business Press. This book was released on 2007-03-06 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.

Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

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Publisher : Springer Nature
ISBN 13 : 9811960887
Total Pages : 682 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications by : Vinit Kumar Gunjan

Download or read book Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2023-02-23 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of best selected research papers presented at the International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (ICMISC 2022) held during 28 – 29 March 2022 at CMR Institute of Technology, Hyderabad, Telangana, India. This book will contain the articles on current trends of machine learning, internet of things, and smart cities applications emphasizing on multi-disciplinary research in the area of artificial intelligence and cyber physical systems. The book is a great resource for scientists, research scholars and PG students to formulate their research ideas and find the future directions in these areas. Further, this book serves as a reference work to understand the latest technologies by practice engineers across the globe.

Human Resource Management

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Publisher : SAGE Publications
ISBN 13 : 1506363105
Total Pages : 837 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Human Resource Management by : Talya Bauer

Download or read book Human Resource Management written by Talya Bauer and published by SAGE Publications. This book was released on 2018-11-29 with total page 837 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the 2020 Most Promising New Textbook Award from the Textbook & Academic Authors Association (TAA) Human resources is rapidly evolving into a data-rich field but with big data comes big decisions. The best companies understand how to use data to make strategic workforce decisions and gain significant competitive advantage. Human Resource Management: People, Data, and Analytics introduces students to the fundamentals of talent management with integrated coverage of data analytics. Features tied to SHRM competencies and data exercises give students hands-on opportunities to practice the analytical and decision-making skills they need to excel in today’s job market. Engaging examples illustrate key HRM concepts and theories, which brings many traditional HRM topics to life. Whether your students are future managers or future HR professionals, they will learn best practices for managing talent in the changing workplace. A Complete Teaching & Learning Package SAGE Premium Video Included in the Interactive eBook! SAGE Premium Video tools and resources boost comprehension and bolster analysis. Videos featured include Inside HR interviews where students can hear how real companies are using HR to gain competitive advantage, as well as SHRM and TedTalk videos. Interactive eBook Includes access to SAGE Premium Video, multimedia tools, and much more! Save when you bundle the interactive eBook with the print version. Order using bundle ISBN: 978-1-5443-6572-5. SAGE coursepacks FREE! Easily import our quality instructor and student resource content into your school’s learning management system (LMS) and save time. SAGE edge FREE online resources for students that make learning easier.

Convergence of Business and Technology

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Publisher : Beyond Line Publisher
ISBN 13 : 9395659556
Total Pages : 339 pages
Book Rating : 4.3/5 (956 download)

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Book Synopsis Convergence of Business and Technology by : Dr. S. Usha

Download or read book Convergence of Business and Technology written by Dr. S. Usha and published by Beyond Line Publisher. This book was released on with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book dives deep into the crucial intersection of business and technology, two forces shaping our world. It's a practical guide for executives, business owners, and anyone who wants to understand how technology is transforming industries and corporate strategies. With this book you can discover the real impact of technology, business-technology convergence, adapting to change, practical insights and unveil the intricacies. Don't be left behind. "The Convergence of Business and Technology" equips you with the knowledge and tools you need to thrive in this rapidly evolving digital age.

Introducing Machine Learning

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Publisher : Microsoft Press
ISBN 13 : 0135588383
Total Pages : 616 pages
Book Rating : 4.1/5 (355 download)

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Book Synopsis Introducing Machine Learning by : Dino Esposito

Download or read book Introducing Machine Learning written by Dino Esposito and published by Microsoft Press. This book was released on 2020-01-31 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft’s powerful ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks. The authors conclude by introducing valuable runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning. · 14-time Microsoft MVP Dino Esposito and Francesco Esposito help you · Explore what’s known about how humans learn and how intelligent software is built · Discover which problems machine learning can address · Understand the machine learning pipeline: the steps leading to a deliverable model · Use AutoML to automatically select the best pipeline for any problem and dataset · Master ML.NET, implement its pipeline, and apply its tasks and algorithms · Explore the mathematical foundations of machine learning · Make predictions, improve decision-making, and apply probabilistic methods · Group data via classification and clustering · Learn the fundamentals of deep learning, including neural network design · Leverage AI cloud services to build better real-world solutions faster About This Book · For professionals who want to build machine learning applications: both developers who need data science skills and data scientists who need relevant programming skills · Includes examples of machine learning coding scenarios built using the ML.NET library

Artificial Intelligence, Machine Learning, and Data Science Technologies

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Author :
Publisher : CRC Press
ISBN 13 : 1000460541
Total Pages : 297 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence, Machine Learning, and Data Science Technologies by : Neeraj Mohan

Download or read book Artificial Intelligence, Machine Learning, and Data Science Technologies written by Neeraj Mohan and published by CRC Press. This book was released on 2021-10-11 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.

Introduction to Machine Learning

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Author :
Publisher : KHANNA PUBLISHING HOUSE
ISBN 13 : 9389139066
Total Pages : 200 pages
Book Rating : 4.3/5 (891 download)

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Book Synopsis Introduction to Machine Learning by : Jeeva Jose

Download or read book Introduction to Machine Learning written by Jeeva Jose and published by KHANNA PUBLISHING HOUSE. This book was released on with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: AICTE recommended book for Indian Universities and Autonomous colleges. This book can be used as a self-study material or for instructor assisted teaching. Frequent questions for interviews and examinations are provided.