Détail de l'auteur
Auteur Ruchi DOSHI |
Documents disponibles écrits par cet auteur (2)
Ajouter le résultat dans votre panier Faire une suggestion Affiner la recherche
Machine Learning : Master Supervised and Unsupervised Learning Algorithms with Real Examples / Ruchi DOSHI / BPB Publications (2021)
Titre : Machine Learning : Master Supervised and Unsupervised Learning Algorithms with Real Examples Type de document : e-book Auteurs : Ruchi DOSHI Editeur : BPB Publications Année de publication : 2021 ISBN/ISSN/EAN : 9789391392352 Note générale : copyrighted Langues : Anglais (eng) Résumé : Concepts of Machine Learning with Practical Approaches.Key Features? Includes real-scenario examples to explain the working of Machine Learning algorithms.? Includes graphical and statistical representation to simplify modeling Machine Learning and Neural Networks.? Full of Python codes, numerous exercises, and model question papers for data science students. DescriptionThe book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches.This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision Tree, K-nearest neighbor, Logistic Regression, Support Vector Machine, Random forest algorithms, Unsupervised Machine Learning algorithms such as k-means clustering, Hierarchical Clustering, Probabilistic clustering, Association rule mining, Apriori Algorithm, f-p growth algorithm, Gaussian mixture model and Reinforcement Learning algorithm such as Markov Decision Process (MDP), Bellman equations, policy evaluation using Monte Carlo, Policy iteration and Value iteration, Q-Learning, State-Action-Reward-State-Action (SARSA). It also includes various feature extraction and feature selection techniques, the Recommender System, and a brief overview of Deep Learning.By the end of this book, the reader can understand Machine Learning concepts and easily implement various ML algorithms to real-world problems.What you will learn? Perform feature extraction and feature selection techniques.? Learn to select the best Machine Learning algorithm for a given problem.? Get a stronghold in using popular Python libraries like Scikit-learn, pandas, and matplotlib.? Practice how to implement different types of Machine Learning techniques.Who this book is forThis book is designed for data science and analytics students, academicians, and researchers who want to explore the concepts of machine learning and practice the understanding of real cases. Knowing basic statistical and programming concepts would be good, although not mandatory.Table of Contents1. Introduction2. Supervised Learning Algorithms3. Unsupervised Learning4. Introduction to the Statistical Learning Theory5. Semi-Supervised Learning and Reinforcement Learning6. Recommended SystemsAbout the Authors Dr Ruchi Doshi has more than 14 years of academic, research, and software development experience in Asia and Africa. Currently, she is working as a research supervisor at the Azteca University, Mexico, and as an adjunct faculty at the Jyoti Vidyapeeth Women’s University, Jaipur, Rajasthan, India. She has also worked with the BlueCrest University College, Liberia, West Africa as a Registrar and Head, Examination; BlueCrest University College, Ghana, Africa; Amity University, Rajasthan, India; Trimax IT Infrastructure & Services, Udaipur, India.Kamal Kant Hiran works as an Assistant Professor, School of Engineering at the Sir Padampat Singhania University (SPSU), Udaipur, Rajasthan, India as well as a Research Fellow at the Aalborg University, Copenhagen, Denmark. He is a Gold Medalist in M.Tech. (Hons.). He has more than 16 years of experience as an academic and researcher in Asia, Africa, and Europe. Ritesh Kumar Jain works as an Assistant Professor, at the Geetanjali Institute of Technical Studies, (GITS), Udaipur, Rajasthan, India. He has more than 15 years of teaching and research experience. Dr. Kamlesh Lakhwani works as an Associate Professor, in Computer Science & Engineering at JECRC University Jaipur, Rajasthan, India. He has an excellent academic background and a rich experience of 15 years as an academician and researcher in Asia. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88939134 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=563740 Cloud Computing : Master the Concepts, Architecture and Applications with Real-world examples and Case studies / Ruchi DOSHI / BPB Publications (2019)
Titre : Cloud Computing : Master the Concepts, Architecture and Applications with Real-world examples and Case studies Type de document : e-book Auteurs : Ruchi DOSHI Editeur : BPB Publications Année de publication : 2019 ISBN/ISSN/EAN : 9789388511407 Note générale : copyrighted Langues : Anglais (eng) Résumé : Unleash the power of cloud computing using Azure, AWS and Apache Hadoop Key Features Provides a sound understanding of the Cloud computing concepts, architecture and its applications Explores the practical benefits of Cloud computing services and deployment models in details Cloud Computing Architecture, Cloud Computing Life Cycle (CCLC), Load balancing approach, Mobile Cloud Computing (MCC), Google App Engine (GAE) Virtualization and Service-Oriented Architecture (SOA) Cloud Computing applications - Google Apps, Dropbox Cloud and Apple iCloud and its uses in various sectors - Education, Healthcare, Politics, Business, and Agriculture Cloud Computing platforms - Microsoft Azure, Amazon Web Services (AWS), Open Nebulla, Eucalyptus, Open Stack, Nimbus and The Apache Hadoop Architecture Adoption of Cloud Computing technology and strategies for migration to the cloud Cloud computing adoption case studies - Sub-Saharan Africa and India DescriptionWith the advent of internet, there is a complete paradigm shift in the manner we comprehend computing. Need to enable ubiquity, convenient and on-demand access to resources in highly scalable and resilient environments that can be remotely accessed, gave birth to the concept of Cloud computing. The acceptance is so rapid that the notion influences sophisticated innovations in academia, industry and research world-wide and hereby change the landscape of information technology as we thought of.This book begins with the fundamentals of cloud computing, its service and deployment models, architecture, as well as applications and platforms. It presents some key enterprise strategies and models for the adoption of and migration to cloud. Privacy and security issues and challenges also form a major part of our discussion in the book as well as case studies of cloud computing adoption in Sub-Saharan Africa and India. The book concludes with a discussion of several advanced topics, such as Amazon Web Services (AWS), Open Nebulla, Microsoft Azure, Apache Hadoop and Google App Engine (GAE). What you will learnLearn about the Importance of Cloud Computing in Current Digital Era Understand the Core concepts and Principles of Cloud Computing with practical benefits Discover how Cloud Computing Architecture works Learn about the Load balancing approach and Mobile Cloud Computing (MCC) Learn about the Virtualization and Service-Oriented Architecture (SOA) concepts Learn about the various Cloud Computing applications, Platforms and Security concepts Understand the adoption Cloud Computing technology and strategies for migration to the cloudWho This Book is For This book is intended for students of B.E., B.Tech., B.Sc., M.Sc., M.E., and M.Tech. as a text book. The content is designed keeping in mind the bench marked curriculum of various universities (both National and International). Aspiring Cloud Computing Researchers Instructors, Academicians and Professionals, if they are familiar with cloud, can use this book to learn various open source cloud computing tools, applications, technologies. They will also get a flavor of various international certification exams available.Table of Contents Foundation of Cloud ComputingCloud Services and Deployment Models Cloud Computing Architecture Virtualization Technology Service Oriented Architecture (SOA) Cloud Security and Privacy Cloud Computing Applications Cloud Computing Technologies, Platform and Services Adoption of Cloud Computing Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88938827 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=564432
LIBRARY - Campus Rouen
NEOMA Business School
pmb
-
59 Rue Taittinger, 51100 Reims
-
00 33 (0)3 26 77 46 15
Library Campus Reims
-
1 Rue du Maréchal Juin, BP 215
76825 Mont Saint Aignan cedex -
00 33 (0)2 32 82 58 26