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Fundamentals Of Machine Learning Concepts


Fundamentals Of Machine Learning Concepts
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Download Fundamentals Of Machine Learning Concepts PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Fundamentals Of Machine Learning Concepts book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Machine Learning Concepts Methodologies Tools And Applications


Machine Learning Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2011-07-31

Machine Learning Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-31 with Computers categories.


"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe



Fundamentals Of Machine Learning For Predictive Data Analytics


Fundamentals Of Machine Learning For Predictive Data Analytics
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Author : John D. Kelleher
language : en
Publisher: MIT Press
Release Date : 2015-07-31

Fundamentals Of Machine Learning For Predictive Data Analytics written by John D. Kelleher and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-31 with Computers categories.


A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.



Machine Learning Algorithms And Concepts


Machine Learning Algorithms And Concepts
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Author : Sariya Ansari
language : en
Publisher: Notion Press
Release Date : 2023-09-13

Machine Learning Algorithms And Concepts written by Sariya Ansari and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-13 with Computers categories.


This book is for machine learning professional & aspiring data scientist who wanted to be established themselves as a machine learning engineer or data science professional. Machine Learning Algorithms & Concepts gives complete idea to begin the phase of machine learning professional. This can be referred as a great starting point to switch the career path from existing profession to a machine learning professional. The book covers all major algorithms, its concept, usage, and other miscellaneous concepts based on situation which helps to its reader to decide in which situation what to be used. This book serves as guide to prepare for interviews, exams, campus work as well as for industry professional. It also covers basic programming which gives fair idea to its reader to learn how to code for machine learning problem statement even if he is a beginner in coding.



Machine Learning And It S Techniques


Machine Learning And It S Techniques
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Author : Dr. Lakshmi Anusha Kothamasu
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-07-29

Machine Learning And It S Techniques written by Dr. Lakshmi Anusha Kothamasu and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-29 with Study Aids categories.


The book "Machine Learning and Its Techniques" provides a thorough examination of the fundamental approaches and uses of machine learning. The book is designed to take readers from fundamental ideas to more complex subjects, guaranteeing a deep comprehension of the material. Neural networks, deep learning, reinforcement learning, and both supervised and unsupervised learning are important subjects. The theoretical ideas in each chapter are followed by real-world examples and learning-enhancement activities. Common machine learning problems including overfitting, underfitting, and model assessment are also covered in the book. A comprehensive perspective of the discipline is provided by giving particular attention to the ethical issues and potential directions of machine learning. Readers will have acquired the information and abilities needed to use machine learning methods in an ethical and successful manner by the time they finish this book. This thorough tutorial is perfect for anybody who wants to learn more about machine learning and use it in practical situations.



Fundamentals Of Machine Learning Concepts


Fundamentals Of Machine Learning Concepts
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Author : Mr. Rajesh Saturi
language : en
Publisher: SK Research Group of Companies
Release Date : 2023-02-23

Fundamentals Of Machine Learning Concepts written by Mr. Rajesh Saturi and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-23 with Computers categories.


Mr. Rajesh Saturi, Assistant Professor, Vignana Bharathi Institute of Technology, Aushapur, Medchal District, Telangana, India. Dr. Naramula Venkatesh, Assistant Professor, SR University, Ananthasagar, Warangal, Telangana, India. Dr. Nandam Gayatri, Assistant Professor, KITSW, Yerragattu Gutta, Hasanparthy, Warangal, Telangana, India. Mrs. Swapna Saturi, Assistant Professor, KITS Warangal, Hanamkonda, Warangal, Telangana, India. Mr. Hanumantha Rao, Assistant Professor, Vignana Bharathi Institute of Technology, Aushapur, Medchal District, Telangana, India.



Microsoft Certified Ai 900 Microsoft Azure Ai Fundamentals


Microsoft Certified Ai 900 Microsoft Azure Ai Fundamentals
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2024-09-01

Microsoft Certified Ai 900 Microsoft Azure Ai Fundamentals written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-01 with Computers categories.


Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com



Python For Machine Learning And Natural Language Processing In Robotics And Autonomous Vehicles


Python For Machine Learning And Natural Language Processing In Robotics And Autonomous Vehicles
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Author : Mr. Akash Arun Kumar Soumya
language : en
Publisher: BUDHA PUBLICATION
Release Date :

Python For Machine Learning And Natural Language Processing In Robotics And Autonomous Vehicles written by Mr. Akash Arun Kumar Soumya and has been published by BUDHA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


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A First Course In Artificial Intelligence


A First Course In Artificial Intelligence
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Author : Osondu Oguike
language : en
Publisher: Bentham Science Publishers
Release Date : 2021-07-14

A First Course In Artificial Intelligence written by Osondu Oguike and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-14 with Computers categories.


The importance of Artificial Intelligence cannot be over-emphasised in current times, where automation is already an integral part of industrial and business processes. A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial Intelligence. Seven chapters (divided into thirty-three units) introduce the student to key concepts of the discipline in simple language, including expert system, natural language processing, machine learning, machine learning applications, sensory perceptions (computer vision, tactile perception) and robotics. Each chapter provides information in separate units about relevant history, applications, algorithm and programming with relevant case studies and examples. The simplified approach to the subject enables beginners in computer science who have a basic knowledge of Java programming to easily understand the contents. The text also introduces Python programming language basics, with demonstrations of natural language processing. It also introduces readers to the Waikato Environment for Knowledge Analysis (WEKA), as a tool for machine learning. The book is suitable for students and teachers involved in introductory courses in undergraduate and diploma level courses which have appropriate modules on artificial intelligence.



Introduction To Machine Learning And Natural Language Processing


Introduction To Machine Learning And Natural Language Processing
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Author : Dr.T.Saroja
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-11-21

Introduction To Machine Learning And Natural Language Processing written by Dr.T.Saroja and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-21 with Computers categories.


Dr.T.Saroja, Assistant Professor, Department of Software Applications, Agurchand Manmull Jain College, Chennai, Tamil Nadu, India. Dr.S.Sasikala, Assistant Professor, Department of Computer Science, Agurchand Manmull Jain College, Chennai, Tamil Nadu, India.



Deep Learning Concepts In Operations Research


Deep Learning Concepts In Operations Research
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Author : Biswadip Basu Mallik
language : en
Publisher: CRC Press
Release Date : 2024-08-30

Deep Learning Concepts In Operations Research written by Biswadip Basu Mallik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.


The model-based approach for carrying out classification and identification of tasks has led to the pervading progress of the machine learning paradigm in diversified fields of technology. Deep Learning Concepts in Operations Research looks at the concepts that are the foundation of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomena. Such fields as object classification, speech recognition, and face detection have sought extensive application of artificial intelligence (AI) and ML as well. Among a variety of topics, the book examines: An overview of applications and computing devices Deep learning impacts in the field of AI Deep learning as state-of-the-art approach to AI Exploring deep learning architecture for cutting-edge AI solutions Operations research is the branch of mathematics for performing many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects for decision making. Discussing how a proper decision depends on several factors, the book examines how AI and ML can be used to model equations and define constraints to solve problems and discover proper and valid solutions more easily. It also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost.