Fundamentals Of Data Science Data Mining Machine Learning Deep Learning And Iots
DOWNLOAD
Download Fundamentals Of Data Science Data Mining Machine Learning Deep Learning And Iots PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Fundamentals Of Data Science Data Mining Machine Learning Deep Learning And Iots 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
Fundamentals Of Data Science Data Mining Machine Learning Deep Learning And Iots
DOWNLOAD
Author : Dr. A. SIVAKUMAR
language : en
Publisher: SK Research Group of Companies
Release Date : 2021-12-27
Fundamentals Of Data Science Data Mining Machine Learning Deep Learning And Iots written by Dr. A. SIVAKUMAR 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 2021-12-27 with Computers categories.
Dr. A. SIVAKUMAR, Assistant Professor, Department of Computer Science, Rathinam College of Arts and Science, Coimbatore, Tamil Nadu. SULAIMAN AL MASWARI, SOLAF MOHAMAD, GOURAV SONONE, Department of Information Technology, Rathinam College of Arts and Science, Coimbatore, Tamil Nadu.
Fundamentals Of Data Science Datamining Machinelearning Deeplearning And Iots
DOWNLOAD
Author : Dr. P. Kavitha
language : en
Publisher: Leilani Katie Publication
Release Date : 2023-12-23
Fundamentals Of Data Science Datamining Machinelearning Deeplearning And Iots written by Dr. P. Kavitha 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 2023-12-23 with Computers categories.
Dr. P. Kavitha, Associate Professor, Department of Computer Science, Sri Ramakrishna College of Arts & Science, Coimbatore, Tamil Nadu, India. Mr. P. Jayasheelan, Assistant Professor, Department of Computer Science, Sri Krishna Aditya College of arts and Science, Coimbatore, Tamil Nadu, India. Ms. C. Karpagam, Assistant Professor, Department of Computer Science with Data Analytics, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, India. Dr. K. Prabavathy, Assistant Professor, Department of Data Science and Analytics, Sree Saraswathi Thyagaraja College, Pollachi, Coimbatore, Tamil Nadu, India.
Introduction To Algorithms For Data Mining And Machine Learning
DOWNLOAD
Author : Xin-She Yang
language : en
Publisher: Academic Press
Release Date : 2019-06-17
Introduction To Algorithms For Data Mining And Machine Learning written by Xin-She Yang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-17 with Mathematics categories.
Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages
Data Mining And Machine Learning
DOWNLOAD
Author : Mohammed J. Zaki
language : en
Publisher:
Release Date : 2019-12
Data Mining And Machine Learning written by Mohammed J. Zaki and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12 with Data mining categories.
New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.
Deep Learning For Coders With Fastai And Pytorch
DOWNLOAD
Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Handbook Of Research On Network Enabled Iot Applications For Smart City Services
DOWNLOAD
Author : Reddy, K. Hemant Kumar
language : en
Publisher: IGI Global
Release Date : 2023-09-26
Handbook Of Research On Network Enabled Iot Applications For Smart City Services written by Reddy, K. Hemant Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Political Science categories.
The rapid growth of IoT and its applications in smart cities pose significant challenges for academic scholars. The increasing number of interconnected devices and the massive amounts of data they generate strain traditional networks, leading to inefficiencies and security vulnerabilities. Additionally, the centralized control plane in Software Defined Networks (SDN) presents a single point of failure, hindering network performance, while IoT devices themselves are susceptible to attacks, compromising user data and privacy. To address these pressing issues, Network-Enabled IoT Applications for Smart City Services offers a compelling solution. Edited by Dr. K. Hemant Kumar Reddy, Dr. Diptendu SinhaRoy, and Tapas Mishra, this book advocates leveraging SDN to handle high-frequency data streams effectively. It also proposes the integration of blockchain technology to enhance security and reliability in IoT applications, offering a roadmap for scholars to improve network efficiency, security, and reliability in IoT and smart city domains. With their extensive expertise, the authors provide academic scholars with a comprehensive and innovative resource that inspires further research and development in this evolving field, enabling them to make significant contributions to the advancement of IoT and smart city technologies.
Artificial Intelligence Trends For Data Analytics Using Machine Learning And Deep Learning Approaches
DOWNLOAD
Author : K. Gayathri Devi
language : en
Publisher:
Release Date : 2024-10-04
Artificial Intelligence Trends For Data Analytics Using Machine Learning And Deep Learning Approaches written by K. Gayathri Devi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Computers categories.
This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.
Python Machine Learning For Beginners
DOWNLOAD
Author : Leonard Deep
language : en
Publisher:
Release Date : 2019-05-13
Python Machine Learning For Beginners written by Leonard Deep and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-13 with categories.
Are you interested to get into the programming world? Do you want to learn and understand Python and Machine Learning? Python Machine Learning for Beginners is the guide for you. Python Machine Learning for Beginners is the ultimate guide for beginners looking to learn and understand how Python programming works. Python Machine Learning for Beginners is split up into easy to learn chapters that will help guide the readers through the early stages of Python programming. It's this thought out and systematic approach to learning which makes Python Machine Learning for Beginners such a sought-after resource for those that want to learn about Python programming and about Machine Learning using an object-oriented programming approach. Inside Python Machine Learning for Beginners you will discover: An introduction to Machine Learning The main concepts of Machine Learning The basics of Python for beginners Machine Learning with Python Data Processing, Analysis, and Visualizations Case studies and much more! Throughout the book, you will learn the basic concepts behind Python programming which is designed to introduce you to Python programming. You will learn about getting started, the keywords and statements, data types and type conversion. Along with different examples, there are also exercises to help ensure that the information sinks in. You will find this book an invaluable tool for starting and mastering Machine Learning using Python. Once you complete Python Machine Learning for Beginners, you will be more than prepared to take on any Python programming. Scroll back up to the top of this page and hit BUY IT NOW to get your copy of Python Machine Learning for Beginners! You won't regret it!
Foundations Of Data Science
DOWNLOAD
Author : Avrim Blum
language : en
Publisher: Cambridge University Press
Release Date : 2020-01-23
Foundations Of Data Science written by Avrim Blum and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Computers categories.
Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.
Machine Learning Essentials And It S Application
DOWNLOAD
Author : Prof. Yogendra Kumar
language : en
Publisher: Academic Guru Publishing House
Release Date : 2024-08-05
Machine Learning Essentials And It S Application written by Prof. Yogendra Kumar 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 2024-08-05 with Study Aids categories.
The book "Machine Learning Essentials and Its Applications" is an informative investigation of the basic concepts of machine learning as well as the many applications of this fascinating field. The fundamental ideas, methods, and algorithms that provide the foundation of machine learning are presented in this book in a format that is designed to lead readers through the process. In order to ensure that the reader has a complete grasp of the discipline, it covers a broad variety of topics, such as supervised and unsupervised learning, neural networks, natural language processing, and computer vision. In addition to providing theoretical information, the book has an emphasis on practical applications, demonstrating how machine learning can be used in a variety of fields, including healthcare, finance, transportation, and entertainment, among others. Every chapter contains case studies and hands-on activities to help readers get a more in-depth grasp of the subject matter and to motivate them to apply what they have learnt in the classroom to situations that they will encounter in the real world. The purpose of this book is to serve as a vital resource for everyone who is interested in understanding the transformational potential of machine learning. It was designed for students, instructors, and industry experts. The book "Machine Learning Essentials and Its Applications" is a necessary travel companion on iv the path to becoming an expert in this rapidly evolving topic since it provides lucid explanations, examples that illustrate the concepts, and important insights.