Vijay chavan (76 Ergebnisse)

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Paperback. Zustand: New. This book will teach you the core concepts of blockchain technology in a concise manner through straightforward, concrete examples using a range of programming languages, including Python and Solidity. The 50 programs presented in this book are all you need to gain a firm understanding of blockchain and how to implement it.The book begins with an introduction to the fundamentals of blockchain technology, followed by a review of its types, framework, applications and challenges. Moving ahead, you will learn basic blockchain programming with hash functions, authentication code, and Merkle trees. You will then dive into the basics of bitcoin, including wallets, digital keys, transactions, digital signatures, and more. This is followed by a crash course on Ethereum programming, its network, and ecosystem. As you progress through the book, you will also learn about Hyperledger and put your newly-gained knowledge to work through case studies and example applications. After reading this book, you will understand blockchain's underlying concepts and its common implementations.  What You Will LearnMaster theoretical and practical implementations of various blockchain components using PythonImplement hashing, Merkel trees, and smart contracts using the Solidity programming language for various applicationsGrasp the internal structure of EVM and its implementation in smart contractsUnderstand why blockchain plays an essential role in cryptocurrencies and identify possible applications beyond cryptocurrenciesInvestigate and apply alternative blockchain solutions using Hyperledger, including its integration and deploymentExplore research opportunities through case studies and gain an overview of implementation using various languages Who Is This Book For:Anyone who is new to blockchain and wants to gain anan understanding of how it works and can be implemented.…

Paperback. Zustand: New. Gain practical knowledge of application implementation using various programming approaches in predictive analytics. This book serves as a comprehensive guide for both beginners and professionals in the field of predictive analytics, offering core principles and practical insights without requiring an extensive mathematics or statistics background.The book starts with an introduction to analytics in decision making, protective analytics basics, and implementation in various industries. The book then takes you through types of regression, and simple linear regression in detail, followed by a demonstration of R Studio and SAS. Multiple Linear Regression is discussed next along with MLR model diagnostics. The book covers Multivariate Analysis and teaches you how to work with Principal Components Analysis, Factor Analysis, and much more. You also learn Time series Analysis with an understanding of Autoregressive Moving Average (ARMA) Models.After reading the book, you will be able to put predictive analytics principles into practice.What You Will LearnUnderstand modeling, estimating, and evaluating models for forecastingImplement Partial F-Test and Variable Selection MethodDemonstrate each analysis model in R Studio and SASUnderstand SLR and MLR Analysis modelsWho This Book Is ForStudents and professionals in the field of data analysis and intelligence applications.…

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Zustand: Brand New. 284 pages. 10.01x7.01x0.60 inches. In Stock.

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Paperback. Zustand: New. This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science.Key Features. Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. Presents predictive outcomes by applying data science techniques to real-life applications. Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields.The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.…

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Zustand: New. In English.

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Taschenbuch. Zustand: Neu. Neuware - Explore the convergence of deep learning and GPU technology. This book is a complete guide for those wishing to use GPUs to accelerate AI workflows.The book is meant to make complex concepts understandable, with step-by-step instructions on how to set up and use GPUs in deep learning applications. Starting with an introduction to the fundamentals, you'll dive into progressive topics like Convolutional Neural Networks (CNNs) and sequence models, exploring how GPU optimization boosts performance. Further, you will learn the power of generative models, and take your skills by deploying AI models on edge devices. Finally, you will master the art of scaling and distributed training to handle large datasets and complex tasks efficiently.This book is your roadmap to becoming proficient in deep learning and harnessing the full potential of GPUs.What You Will Learn:How to apply deep learning techniques on GPUs to solve challenging AI problems.Optimizing neural networks for faster training and inference on GPUsIntegration of GPUs with Microsoft CopilotsImplementing VAEs (Variational Autoencoders) with TensorFlow and PyTorchWho This Book Is For:Industry IT professionals in AI. Students pursuing undergraduate and postgraduate degrees in Engineering, Computer Science, Data Science.…

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Paperback. Zustand: Brand New. 322 pages. 10.00x7.00x10.00 inches. In Stock.

Zustand: New. Dr. Pallavi Vijay Chavan is Associate Professor at Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, MH, India. She has been in academics since the past 16 years and working in the area of data science .