Ritesh Kumar's Books

Machine Learning with Python

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

Write a review Read reviews Take a Quiz Solve Book Puzzle

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.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

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

Write a review Read reviews Take a Quiz Solve Book Puzzle

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

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

309

Publisher

BPB Publications

Published Date

ISBN 10

9391392350

ISBN 13

9789391392352

Optical Properties of Phosphate and Pyrophosphate Compounds

By: Ritesh L. Kohale,Vijay B. Pawade,Sanjay J. Dhoble,Abdul Hakeem Deshmukh

Write a review Read reviews Take a Quiz Solve Book Puzzle

Optical Properties of Phosphate and Pyrophosphate Compounds

By: Ritesh L. Kohale,Vijay B. Pawade,Sanjay J. Dhoble,Abdul Hakeem Deshmukh

An in-depth look at the luminescence of phosphor materials for applications in optical devices, sensors, and medical technologies. Optical Properties of Phosphate and Pyrophosphate Compounds gives a broad introduction to pyrophosphates and phosphate-based phosphors, including their fundamental properties, material composition, synthesis methods, characterization techniques, and applications in optical devices and technologies. The text describes the development of the materials' shape and size, as well as crucial characterization techniques for key applications. Additionally, it includes essential information about recently used single and mixed cations pyrophosphate and phosphate compounds. This book is suitable for researchers working in materials science, engineering, materials chemistry, and physics. It may also be helpful to engineers and chemists working in R&D for solid state lighting. - Includes comprehensive review of materials synthesis and characterization techniques for pyrophosphate and phosphate-based phosphor materials for key applications - Discusses the fundamentals of luminescence and the optical properties of pyrophosphate and phosphate-based phosphor material - Addresses key applications in optical devices, sensors, and medical technologies

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

274

Publisher

Woodhead Publishing

Published Date

ISBN 10

0128230649

ISBN 13

9780128230640

Indian Shield

Precambrian Evolution and Phanerozoic Reconstitution

By: A.B. Roy,Ritesh Purohit

Write a review Read reviews Take a Quiz Solve Book Puzzle

Indian Shield

Precambrian Evolution and Phanerozoic Reconstitution

By: A.B. Roy,Ritesh Purohit

Indian Shield: Precambrian Evolution and Phanerozoic Reconstitution highlights unique evolutionary trends covering a period of over 3,500 million years, from the oldest crust to the most recent geological activity of the Indian Subcontinent. The book discusses regional terrain geology in terms of the evolutionary history of the crust, describing how the Precambrian Shield evolved from a stable continental region to a tectonically unstable zone marked by frequent high-intensity earthquakes in a Plate-interior setting. It is a complete and readable account of the history of growth and evolution of the Indian Subcontinent, including Bangladesh, Bhutan, India, Nepal and Pakistan. The book is intended for graduate students, researchers, and teachers in the geosciences, especially geophysics, geomorphology and geology. The book also serves as an important resource for tectonics and petrology researchers, as well as those involved in exploration of mineral resources. - Features comprehensive geological information on the evolution of the Indian Subcontinent, from the growth of early crust to the present day in a single volume - Discusses different processes of post-Precambrian reconstitution of the Indian Shield that ultimately produced the present-day geomorphology as well as the tectonic character of the region - Assesses the impacts and effects of the ongoing post-Himalayan tectonism on the Indian Subcontinent

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

400

Publisher

Elsevier

Published Date

ISBN 10

0128098406

ISBN 13

9780128098400

Azure for Architects

Create secure, scalable, high-availability applications on the cloud, 3rd Edition

By: Ritesh Modi,Jack Lee,Rithin Skaria

Write a review Read reviews Take a Quiz Solve Book Puzzle

Azure for Architects

Create secure, scalable, high-availability applications on the cloud, 3rd Edition

By: Ritesh Modi,Jack Lee,Rithin Skaria

Build and design multiple types of applications that are cross-language, platform, and cost-effective by understanding core Azure principles and foundational concepts Key FeaturesGet familiar with the different design patterns available in Microsoft AzureDevelop Azure cloud architecture and a pipeline management systemGet to know the security best practices for your Azure deploymentBook Description Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions. What you will learnUnderstand the components of the Azure cloud platformUse cloud design patternsUse enterprise security guidelines for your Azure deploymentDesign and implement serverless and integration solutionsBuild efficient data solutions on AzureUnderstand container services on AzureWho this book is for If you are a cloud architect, DevOps engineer, or a developer looking to learn about the key architectural aspects of the Azure cloud platform, this book is for you. A basic understanding of the Azure cloud platform will help you grasp the concepts covered in this book more effectively.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

699

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1839210591

ISBN 13

9781839210594

Fundamentals of Nuclear Physics

By: Ritesh Kohale

Write a review Read reviews Take a Quiz Solve Book Puzzle

Fundamentals of Nuclear Physics

By: Ritesh Kohale

Fundamentals of Nuclear Physics gives elementary understanding of nuclear and particle physics. The textbook offers an overview of the subject, providing students with a basic understanding about 1) the atomic structure and the nucleus, 2) equipment such as particle detectors, particle accelerators, and nuclear reactors, 3) radioactivity, and 4) elementary particles. Each chapter provides fundamental theoretical and experimental knowledge required for students to strengthen their concepts. Other key features of the book include: - Structured chapters designed for easy reading and stimulating interest for learners - Sophisticated figures - Thoroughly solved equations - Bibliographic references for further reading - Updated information about different types of nuclear reactors - Information about nuclear astrophysics Fundamentals of Nuclear Physics is suitable for introductory undergraduate courses in nuclear physics as well as more innovative courses geared towards nuclear engineering.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

267

Publisher

Bentham Science Publishers

Published Date

ISBN 10

9815049917

ISBN 13

9789815049916

Youn(In This Way????): an Appeal to the Youths of India

By: RITESH SINGH

Write a review Read reviews Take a Quiz Solve Book Puzzle

Youn(In This Way????): an Appeal to the Youths of India

By: RITESH SINGH

The book "Youn(In This Way????): An Appeal to the Youths of India" is a book written by one of the most emerging writer of India. As the name suggests the book narrates the story of a student and his problems. How youths of a country are developing and fighting with the situation and difficulties is shown in this story. The characters and presentation of the story will take you into the virtual world of mine. It is an experience that youths are never going to forget. So I just welcome you all in the virtual world of mine with my very first story "Youn(In This Way????): An Appeal to the Youths of India.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

Publisher

Lulu.com

Published Date

ISBN 10

1304242765

ISBN 13

9781304242761

The Deep Learning with Keras Workshop

Learn how to define and train neural network models with just a few lines of code

By: Matthew Moocarme,Mahla Abdolahnejad,Ritesh Bhagwat

Write a review Read reviews Take a Quiz Solve Book Puzzle

The Deep Learning with Keras Workshop

Learn how to define and train neural network models with just a few lines of code

By: Matthew Moocarme,Mahla Abdolahnejad,Ritesh Bhagwat

Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning models Key FeaturesGet to grips with various model evaluation metrics, including sensitivity, specificity, and AUC scoresExplore advanced concepts such as sequential memory and sequential modelingReinforce your skills with real-world development, screencasts, and knowledge checksBook Description New experiences can be intimidating, but not this one! This beginner's guide to deep learning is here to help you explore deep learning from scratch with Keras, and be on your way to training your first ever neural networks. What sets Keras apart from other deep learning frameworks is its simplicity. With over two hundred thousand users, Keras has a stronger adoption in industry and the research community than any other deep learning framework. The Deep Learning with Keras Workshop starts by introducing you to the fundamental concepts of machine learning using the scikit-learn package. After learning how to perform the linear transformations that are necessary for building neural networks, you'll build your first neural network with the Keras library. As you advance, you'll learn how to build multi-layer neural networks and recognize when your model is underfitting or overfitting to the training data. With the help of practical exercises, you'll learn to use cross-validation techniques to evaluate your models and then choose the optimal hyperparameters to fine-tune their performance. Finally, you'll explore recurrent neural networks and learn how to train them to predict values in sequential data. By the end of this book, you'll have developed the skills you need to confidently train your own neural network models. What you will learnGain insights into the fundamentals of neural networksUnderstand the limitations of machine learning and how it differs from deep learningBuild image classifiers with convolutional neural networksEvaluate, tweak, and improve your models with techniques such as cross-validationCreate prediction models to detect data patterns and make predictionsImprove model accuracy with L1, L2, and dropout regularizationWho this book is for If you know the basics of data science and machine learning and want to get started with advanced machine learning technologies like artificial neural networks and deep learning, then this is the book for you. To grasp the concepts explained in this deep learning book more effectively, prior experience in Python programming and some familiarity with statistics and logistic regression are a must.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

495

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1800564759

ISBN 13

9781800564756

AI-Driven Innovations

By: Rohan Singh Rajput,Pan Singh Dhoni,Ritesh Patel,Rajath Karangara,Abhishek Shende,Satish Kathiriya

Write a review Read reviews Take a Quiz Solve Book Puzzle

AI-Driven Innovations

By: Rohan Singh Rajput,Pan Singh Dhoni,Ritesh Patel,Rajath Karangara,Abhishek Shende,Satish Kathiriya

TOPICS IN THE BOOK Proactive Edge Computing for Smart City: A Novel Case for ML-Powered IoT From Data to Decisions: Enhancing Retail with AI and Machine Learning Commercial Mobile Alert System LTE & 5G Network Optimization Harnessing the Power of AI for Enhanced Regulatory Compliance and Risk Management in Fintech

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

Publisher

Cari Journals USA LLC

Published Date

ISBN 10

9914746152

ISBN 13

9789914746150

Joker in the Pack

An Irreverent View of Life at IIMs

By: Neeraj Pahlajani,Ritesh Sharma

Write a review Read reviews Take a Quiz Solve Book Puzzle

Joker in the Pack

An Irreverent View of Life at IIMs

By: Neeraj Pahlajani,Ritesh Sharma

This is a story of dreaming the great Indian middle class dream, and of life shaped - accidentally or by design, only God knows - by the great Indian middle class values. The joyride begins in the lap of two favourite pastimes of the nation - cricket and television - and after some shattered dreams, leads to the hallowed precincts of the venerated IIMs. It is a story of the life at the IIMs, and of life beyond. It is a story of how to play the IIM game successfully and beat the super distillation system refined by the IIMs to separate the chaff from the grain, the also-rans from the super achievers. The story has bit of raw truth. It is also tongue-in-cheek. It is designed to whet the appetite of those aspiring. It will evoke nostalgia amongst the alumni; it will also anger a few. Read on... you will either love it, or hate it, but will find it difficult to put down.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

216

Publisher

Orient Paperbacks

ISBN 10

8122206530

ISBN 13

9788122206531

When the Heavens Smiled

By: Ritesh Arora

Write a review Read reviews Take a Quiz Solve Book Puzzle

When the Heavens Smiled

By: Ritesh Arora

Sarthak Arora is a good looking and intelligent engineering graduate from Delhi who has recently bagged a high paying job with an IT company in Kolkata. Sarangi Sen is a beautiful, vivacious Bengali girl working as a front office manager at The Grand Vilas, a luxury hotel in Kolkata. Opposites in every way, the attraction is instant and mutual; so is their falling in love, though it remains unprofessed for long. When things seem to be falling on track, like a bolt from the blue, Sarangi is diagnosed with a medical condition that leaves her with only three months to live. With no visible solution at hand, nothing but fate seems to be holding power. Would Sarthak be able to alter Sarangi's destiny and save his love? Or would he let Sarangi succumb to the design of the mighty invisible script of fate? When the Heavens Smiled is a heart-stopping spiritual, heroic, tender and intense love story that will open up your mind to new and uncharted realms of life.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

168

Publisher

Sristhi Publishers & Distributors

Published Date

ISBN 10

9382665528

ISBN 13

9789382665526

Applied Deep Learning with Keras

Solve complex real-life problems with the simplicity of Keras

By: Ritesh Bhagwat,Mahla Abdolahnejad,Matthew Moocarme

Write a review Read reviews Take a Quiz Solve Book Puzzle

Applied Deep Learning with Keras

Solve complex real-life problems with the simplicity of Keras

By: Ritesh Bhagwat,Mahla Abdolahnejad,Matthew Moocarme

Take your neural networks to a whole new level with the simplicity and modularity of Keras, the most commonly used high-level neural networks API. Key FeaturesSolve complex machine learning problems with precisionEvaluate, tweak, and improve your deep learning models and solutionsUse different types of neural networks to solve real-world problemsBook Description Though designing neural networks is a sought-after skill, it is not easy to master. With Keras, you can apply complex machine learning algorithms with minimum code. Applied Deep Learning with Keras starts by taking you through the basics of machine learning and Python all the way to gaining an in-depth understanding of applying Keras to develop efficient deep learning solutions. To help you grasp the difference between machine and deep learning, the book guides you on how to build a logistic regression model, first with scikit-learn and then with Keras. You will delve into Keras and its many models by creating prediction models for various real-world scenarios, such as disease prediction and customer churning. You’ll gain knowledge on how to evaluate, optimize, and improve your models to achieve maximum information. Next, you’ll learn to evaluate your model by cross-validating it using Keras Wrapper and scikit-learn. Following this, you’ll proceed to understand how to apply L1, L2, and dropout regularization techniques to improve the accuracy of your model. To help maintain accuracy, you’ll get to grips with applying techniques including null accuracy, precision, and AUC-ROC score techniques for fine tuning your model. By the end of this book, you will have the skills you need to use Keras when building high-level deep neural networks. What you will learnUnderstand the difference between single-layer and multi-layer neural network modelsUse Keras to build simple logistic regression models, deep neural networks, recurrent neural networks, and convolutional neural networksApply L1, L2, and dropout regularization to improve the accuracy of your modelImplement cross-validate using Keras wrappers with scikit-learnUnderstand the limitations of model accuracyWho this book is for If you have basic knowledge of data science and machine learning and want to develop your skills and learn about artificial neural networks and deep learning, you will find this book useful. Prior experience of Python programming and experience with statistics and logistic regression will help you get the most out of this book. Although not necessary, some familiarity with the scikit-learn library will be an added bonus.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

412

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1838554548

ISBN 13

9781838554545

Geometric Feature-Based Fiber Optic Surface Plasmon Resonance Sensors

By: Sanjeev Kumar Raghuwanshi,Santosh Kumar,Ritesh Kumar

Write a review Read reviews Take a Quiz Solve Book Puzzle

Geometric Feature-Based Fiber Optic Surface Plasmon Resonance Sensors

By: Sanjeev Kumar Raghuwanshi,Santosh Kumar,Ritesh Kumar

This book focuses on the surface plasmon resonance (SPR) technique covering fibre optic sensor research. It highlights recent advancements in geometric feature-based fibre optic SPR sensors for chemical/biochemical/biosensor applications. The contents also discuss the principle of the SPR sensing technique as well as various designs of fibre optic SPR probes for improving sensor sensitivity. It also includes numerous examples of SPR-based fibre optic sensors with various geometric (such as U-type, taper type, D-type, and interferometric-based) sensors. This volume will be a useful reference to those in academia and industry especially researchers with useful information focusing on fibre optic SPR sensors.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

302

Publisher

Springer Nature

Published Date

ISBN 10

9819972973

ISBN 13

9789819972975

Machine Learning with Python

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

Write a review Read reviews Take a Quiz Solve Book Puzzle

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.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

486

Publisher

Walter de Gruyter GmbH & Co KG

Published Date

ISBN 10

3110697181

ISBN 13

9783110697186

Geometric Feature-Based Fiber Optic Surface Plasmon Resonance Sensors

By: Sanjeev Kumar Raghuwanshi,Santosh Kumar,Ritesh Kumar

Write a review Read reviews Take a Quiz Solve Book Puzzle

Geometric Feature-Based Fiber Optic Surface Plasmon Resonance Sensors

By: Sanjeev Kumar Raghuwanshi,Santosh Kumar,Ritesh Kumar

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

302

Publisher

Springer Nature

Published Date

ISBN 10

9819972973

ISBN 13

9789819972975

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

Write a review Read reviews Take a Quiz Solve Book Puzzle

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

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

309

Publisher

BPB Publications

Published Date

ISBN 10

9391392350

ISBN 13

9789391392352

Book's by Ritesh Kumar

Machine Learning with Python

Machine Learning with Python

Machine Learning

Machine Learning

Optical Properties of Phosphate and Pyrophosphate Compounds

Optical Properties of Phosphate and Pyrophosphate Compounds

Indian Shield

Indian Shield

Azure for Architects

Azure for Architects

Fundamentals of Nuclear Physics

Fundamentals of Nuclear Physics

Youn(In This Way????): an Appeal to the Youths of India

Youn(In This Way????): an Appeal to the Youths of India

The Deep Learning with Keras Workshop

The Deep Learning with Keras Workshop

AI-Driven Innovations

AI-Driven Innovations

Joker in the Pack

Joker in the Pack

When the Heavens Smiled

When the Heavens Smiled

Applied Deep Learning with Keras

Applied Deep Learning with Keras

Geometric Feature-Based Fiber Optic Surface Plasmon Resonance Sensors

Geometric Feature-Based Fiber Optic Surface Plasmon Resonance Sensors

Machine Learning with Python

Machine Learning with Python

Geometric Feature-Based Fiber Optic Surface Plasmon Resonance Sensors

Geometric Feature-Based Fiber Optic Surface Plasmon Resonance Sensors

Machine Learning

Machine Learning

Username

Password

Username

Password

Password again

Birthday

Email