Ruchi Doshi's Books

Mobile Applications Development

With Python in Kivy Framework

By: Tarkeshwar Barua,Ruchi Doshi,Kamal Kant Hiran

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Mobile Applications Development

With Python in Kivy Framework

By: Tarkeshwar Barua,Ruchi Doshi,Kamal Kant Hiran

The book covers the concepts of Python programming language along with mobile application development. Starting from fundamentals, the book continues with the explanation of mobile app development using Kivy framework. All the chapters offer questions and exercises for to better understanding of the subject. At the end of the book some hands-on projects are given to help the readers to improve their programming and project development skills.

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Page Count

496

Publisher

Walter de Gruyter GmbH & Co KG

Published Date

ISBN 10

3110689529

ISBN 13

9783110689525

Machine Learning with Python

By: Tarkeshwar Barua,Kamal Kant Hiran,Ritesh Kumar Jain,Ruchi Doshi

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Machine Learning with Python

By: Tarkeshwar Barua,Kamal Kant Hiran,Ritesh Kumar Jain,Ruchi Doshi

This book explains how to use the programming language Python to develop machine learning and deep learning tasks.

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Page Count

486

Publisher

Walter de Gruyter GmbH & Co KG

Published Date

ISBN 10

3110697181

ISBN 13

9783110697186

Machine Learning

Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)

By: Kamal Kant Hiran,Ritesh Kumar Jain,Dr. Kamlesh Lakhwani,Dr Ruchi Doshi

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Machine Learning

Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)

By: Kamal Kant Hiran,Ritesh Kumar Jain,Dr. Kamlesh Lakhwani,Dr Ruchi Doshi

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. DESCRIPTION The 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. ● Learn about Artificial Neural Network along with the Back Propagation Algorithm. ● Make use of various recommended systems with powerful algorithms. WHO THIS BOOK IS FOR This 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 CONTENTS 1. Introduction 2. Supervised Learning Algorithms 3. Unsupervised Learning 4. Introduction to the Statistical Learning Theory 5. Semi-Supervised Learning and Reinforcement Learning 6. Recommended Systems

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Page Count

309

Publisher

BPB Publications

Published Date

ISBN 10

9391392350

ISBN 13

9789391392352

Cloud Computing

Master the Concepts, Architecture and Applications with Real-world examples and Case studies

By: Kamal Kant Hiran,Ruchi Doshi,Temitayo Fagbola,Mehul Mahrishi

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Cloud Computing

Master the Concepts, Architecture and Applications with Real-world examples and Case studies

By: Kamal Kant Hiran,Ruchi Doshi,Temitayo Fagbola,Mehul Mahrishi

Unleash the power of cloud computing using Azure, AWS and Apache HadoopÊ Description With 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. Through this book, the authors tried to incorporate core principles and basic notion of cloud computing in a step-by-step manner and tried to emphasize on key concepts for clear and thorough insight into the subject. Audience 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). The book covers not only the technical details of how cloud works but also exhibits the strategy, technical design, and in-depth knowledge required to migrate existing applications to the cloud. Therefore, it makes it relevant for the beginners who wants to learn cloud computing right from the foundation. 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. What will you learn ¥ Learn about the Importance of Cloud Computing in Current Digital Era ¥ Understand the Core concepts and Principles of Cloud Computing with practical benefits ¥ Learn about the Cloud Deployment models and ServicesÊ ¥ Discover how Cloud Computing Architecture worksÊ ¥ 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 cloud ¥ Case Studies for Cloud computing adoption - Sub-Saharan Africa and India 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 ¥ Chapter-wise Questions with Summary and Examination Model Question papersÊ Table of Contents 1. Foundation of Cloud ComputingÊ 2. Cloud Services and Deployment Models 3. Cloud Computing Architecture 4. Virtualization & Service Oriented Architecture 5. Cloud Security and Privacy 6. Cloud Computing ApplicationsÊ 7. Cloud Computing Technologies, Platform and Services 8. Adoption of Cloud Computing 9. Model Paper 1 10. Model Paper 2 11. Model Paper 3 12. Model Paper 4

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Page Count

366

Publisher

BPB Publications

Published Date

ISBN 10

9388511409

ISBN 13

9789388511407

END OF INDENTURE An Agonising Journey To Freedom

A Select Collection of Valuable and Curious Arts: Exploring the Marvels of Human Ingenuity

By: Dr. Ruchi Verma, Narayan Kumar and Amb. Anup Mudgal

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END OF INDENTURE An Agonising Journey To Freedom

A Select Collection of Valuable and Curious Arts: Exploring the Marvels of Human Ingenuity

By: Dr. Ruchi Verma, Narayan Kumar and Amb. Anup Mudgal

The present book is a collection of writeups contributed by various eminent artists and art critics on different kinds of art tetechniques. This book was first published in the year 1826.

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Page Count

431

Publisher

Prabhat Prakashan

Published Date

ISBN 10

818430580X

ISBN 13

9788184305807

Food Without Fear

Identify, Prevent, and Treat Food Allergies, Intolerances, and Sensitivities

By: Ruchi Gupta

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Food Without Fear

Identify, Prevent, and Treat Food Allergies, Intolerances, and Sensitivities

By: Ruchi Gupta

A world-renowned researcher and physician offers a groundbreaking approach to identifying an entire spectrum of food-related health conditions, from allergies to sensitivities, and what we can do about them. A breathtaking one in five people in the U.S. has a health condition related to food—from disruptive sensitivities and intolerances to serious allergic reactions that can send them to the ER. These food-related problems are on a historic rise across all ages. And the spectrum of these ailments is wide and deep, with many tricky “masqueraders” in the mix to create a lot of confusion, potential misdiagnoses, and faulty or poor treatment—and immeasurable suffering for millions of people. The good news: Dr. Ruchi Gupta, on the front lines of this silent epidemic, now shares revolutionary research from her lab and clinical practice. In Food Without Fear, Dr. Gupta illuminates this misunderstood spectrum and offers a new approach to managing adverse reactions to food with a practical plan to end the misery and enjoy eating with ease. This panoramic view empowers you to know what questions to ask your doctor to get the correct diagnosis. From debunking common myths (an allergy and an intolerance aren’t the same thing—but both can have life-threatening consequences) to identifying masqueraders, to understanding triggers (including environmental factors), as well as the microbiome’s role in adverse food reactions, these pages hold the answers. Using a framework of Identify and Empower, Treat, Manage and Prevent, and Thrive, Food Without Fear offers hope, help—and food freedom—to the millions of people who so need it. Developed by world-renowned researcher Dr. Ruchi Gupta, this revolutionary spectrum approach empowers and informs so you can take charge of your health. In Food Without Fear, you’ll learn: The differences between an allergy and an intolerance or sensitivity What “masqueraders” are and how to identify them Which health conditions are mistaken for food allergies—or can be triggered by them The top offenders that can spark an allergy attack or intolerance The surprising allergies on the rise (think red meat and exercise) The potential connections between genetics, environmental exposures, and risk for developing food-related conditions How to S.T.O.P. the misery and chart your healthy path forward Offering assessments, information on the most up-to-date treatments, and practical tips for keeping yourself safe, Food Without Fear welcomes you back to the table.

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Page Count

204

Publisher

Hachette Go

Published Date

ISBN 10

0306846497

ISBN 13

9780306846496

Mobile Applications Development

With Python in Kivy Framework

By: Tarkeshwar Barua,Ruchi Doshi,Kamal Kant Hiran

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Mobile Applications Development

With Python in Kivy Framework

By: Tarkeshwar Barua,Ruchi Doshi,Kamal Kant Hiran

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N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

496

Publisher

Walter de Gruyter GmbH & Co KG

Published Date

ISBN 10

3110689529

ISBN 13

9783110689525

Machine Learning

Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)

By: Kamal Kant Hiran,Ritesh Kumar Jain,Dr. Kamlesh Lakhwani,Dr Ruchi Doshi

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Machine Learning

Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)

By: Kamal Kant Hiran,Ritesh Kumar Jain,Dr. Kamlesh Lakhwani,Dr Ruchi Doshi

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Write a review

Solve jigsaw puzzle

Age

Page Count

309

Publisher

BPB Publications

Published Date

ISBN 10

9391392350

ISBN 13

9789391392352

Book's by Ruchi Doshi

Mobile Applications Development

Mobile Applications Development

Machine Learning with Python

Machine Learning with Python

Machine Learning

Machine Learning

Cloud Computing

Cloud Computing

END OF INDENTURE An Agonising Journey To Freedom

END OF INDENTURE An Agonising Journey To Freedom

Food Without Fear

Food Without Fear

Mobile Applications Development

Mobile Applications Development

Machine Learning

Machine Learning

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