Category: Ebook

Naseer M Graphene-Based Photocatalysts for Hydrogen Production 2024

General:

Name: Naseer M Graphene-Based Photocatalysts for Hydrogen Production 2024
Format: pdf
Size: 25.48 MB

Book:

Title: Graphene-Based Photocatalysts for Hydrogen Production and Environmental Remediation
Author: Muhammad Nihal Naseer
Language: angielski
Year: 2024
Subjects: Science & Technology, Chemistry, Physics, Physical & Theoretical Chemistry, Solid State Physics – General & Miscellaneous
Publisher: Springer-Verlag New York, LLC
ISBN: 9783031684647
Total pages: 637

Description:

This book delves into the cutting-edge applications of graphene-based photocatalysts, unveiling their immense potential in addressing two critical global challenges: sustainable hydrogen production and environmental remediation. Through insightful analysis of the state of the art, the book highlights the remarkable capabilities of these innovative materials in harnessing the power of light to drive chemical reactions. By exploring the synthesis, characterization, and mechanisms of graphene-based photocatalysts, the book provides knowledge not only about the fundamental concepts but also recent advancements in water splitting for hydrogen generation, as well as the degradation of persistent organic pollutants and greenhouse gases. With its extensive coverage and interdisciplinary approach, this resource is tailored for a diverse readership, including materials scientists, chemists, photocatalysis experts, environmental engineers, and professionals working in the fields of renewable energy, water treatment, and environmental remediation.

Download from RapidGator
https://rapidgator.net/file/ca8dbef4b3d6517ee1f855f1a531d924/1r1f0422a0squcz2cf22zh.pdf

Naseer K Next Generation AI Language Models in Research 2024

General:

Name: Naseer K Next Generation AI Language Models in Research 2024
Format: pdf
Size: 23.89 MB

Book:

Title: Next Generation AI Language Models in Research: Promising Perspectives and Valid Concerns
Author: Edited by Kashif Naseer Qureshi and Gwanggil Jeon
Language: angielski
Year: 2024
Subjects: Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Machine Learning
Publisher: CRC Press
ISBN: 9781040157374
Total pages: 349

Description:

In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised.
The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies, and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionize their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem-solving abilities, and evidence-based decision-making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation.
This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book’s discussions on both the technical and ethical aspects of this rapidly growing field.

Download from RapidGator
https://rapidgator.net/file/e4145126896962564d370a5cab35182b/ue9flqqap7e8m6b1h62807.pdf

Narębski J Mastering Git Attain expert-level proficiency with Git 2ed 2024

General:

Name: Narębski J Mastering Git Attain expert-level proficiency with Git 2ed 2024
Format: pdf
Size: 6.2 MB

Book:

Title: Mastering Git
Author: Jakub Narbski;
Language: angielski
Year: 2024
Subjects: Computers, Computer Programming, Programming – General & Miscellaneous
Publisher: Packt Publishing
ISBN: 9781835080054
Total pages: 444

Description:

Harness the full power of the Git version control system, gaining insights into Git best practices and strengthening your understanding of its architecture, underlying concepts, and behavior
Key Features

• Set up Git for solo and collaborative development as well as for code, documentation, configuration, or data
• Leverage the Git version control system to customize and extend existing recipes, and write your own
• Discover how to efficiently manage large and complex repositories
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description
Developers often feel overwhelmed by complex version control issues, especially when managing large repositories. This updated second edition of our Git guide empowers you to tackle these challenges head-on and emerge as a Git pro. The book gets you up to speed with the latest Git version, its features, and advanced branching techniques, helping you master complex development scenarios. A new chapter on tackling challenges while managing large repositories has been added, providing invaluable strategies for efficient version control with Git. The book goes beyond the basics to take you through Git’s architecture, behavior, and best practices in depth. The chapters help you develop a clear understanding of customizing workflows, creating unique solutions, and tackling any version control hurdle. As you advance, you’ll explore a wide range of functionalities, from examining project history to collaborating seamlessly with teammates. Detailed descriptions guide you through managing your work, collaborating with others, administering Git, and navigating project history. By the end of this book, you’ll have become a Git pro and be confident enough to handle advanced branching, manage large repositories, customize workflows, collaborate effectively, and troubleshoot any version control issues.
What you will learn

• Explore project history and find revisions using different criteria
• Manage your working directory and staging area
• Set up repositories and branches for collaboration
• Configure and set up support for the chosen workflow
• Submit your own contributions and integrate contributions made by others
• Customize Git behavior system-wide, from per-user to per-file basis
• Take up Git administration to set up and manage repositories

Who this book is for
This book is for developers looking to elevate their Git skills beyond the basics. Whether you’re a seasoned developer or just getting started with version control, this book will help you leverage Git for efficient collaboration, code management, and improved workflows. The book also equips DevOps professionals with the knowledge they need to configure Git for seamless integration within DevOps workflows, enabling smoother collaboration between development and operations teams.

Download from RapidGator
https://rapidgator.net/file/7e7fb89ed782fb99b0773acf510b3734/p0j15639li09cdkyvax67t.pdf

Narciso P Generative AI in Education A Guide for Parents and Teachers 2024

General:

Name: Narciso P Generative AI in Education A Guide for Parents and Teachers 2024
Format: pdf
Size: 4 MB

Book:

Title: Generative AI in Education: A Guide for Parents and Teachers
Author: Paolo Narciso
Language: angielski
Year: 2024
Subjects: Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Artificial Intelligence – General
Publisher: Apress
ISBN: 9798868808449
Total pages: 185

Description:

As artificial intelligence (AI) rapidly transforms education, tools like ChatGPT and Claude are revolutionizing the way we teach and learn. This book is a groundbreaking book that empowers parents and students to navigate this exciting new frontier, filling a critical gap in the current literature.
As the first comprehensive guide to generative AI in education designed for parents and students, Generative AI in Education is positioned to become an indispensable resource. It provides the knowledge and strategies needed to effectively integrate AI into their learning journeys, transforming educational outcomes and preparing students for success in a rapidly changing world. You’ll gain a deep understanding of how tools like ChatGPT and Claude work, and how they can be leveraged to support learning across various subjects and grade levels.
You’ll then see how to create clear, specific, and engaging prompts that elicit valuable responses from AI-powered tools. This book contains all the techniques for tailoring prompts to different learning objectives, styles, and contexts, and how they can use AI tools to support reading comprehension, writing skills, problem-solving, and creative thinking.
What You Will Learn

• Apply generative AI in education
• Craft effective prompts for personalized learning experiences
• Utilize AI tools to support learning, creativity, and problem-solving

Who This Book is For
Parents and students who are eager to harness the power of generative AI to enhance learning experiences and prepare for success in an AI-driven future

Download from RapidGator
https://rapidgator.net/file/e54d6b4491be5ca044fb8c3018751150/wej7i784q0mwy81495thil.pdf

Narayanan P Data Engineering for Machine Learning Pipelines From Python 2024

General:

Name: Narayanan P Data Engineering for Machine Learning Pipelines From Python 2024
Format: pdf
Size: 33.02 MB

Book:

Title: Data Engineering for Machine Learning Pipelines
Author: Pavan Kumar Narayanan
Language: angielski
Year: 2024
Subjects: Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Artificial Intelligence – General
Publisher: Apress
ISBN: 9798868806025
Total pages: 651

Description:

This book covers modern data engineering functions and important Python libraries, to help you develop state-of-the-art ML pipelines and integration code.
The book begins by explaining data analytics and transformation, delving into the Pandas library, its capabilities, and nuances. It then explores emerging libraries such as Polars and CuDF, providing insights into GPU-based computing and cutting-edge data manipulation techniques. The text discusses the importance of data validation in engineering processes, introducing tools such as Great Expectations and Pandera to ensure data quality and reliability. The book delves into API design and development, with a specific focus on leveraging the power of FastAPI. It covers authentication, authorization, and real-world applications, enabling you to construct efficient and secure APIs using FastAPI. Also explored is concurrency in data engineering, examining Dask’s capabilities from basic setup to crafting advanced machine learning pipelines. The book includes development and delivery of data engineering pipelines using leading cloud platforms such as AWS, Google Cloud, and Microsoft Azure. The concluding chapters concentrate on real-time and streaming data engineering pipelines, emphasizing Apache Kafka and workflow orchestration in data engineering. Workflow tools such as Airflow and Prefect are introduced to seamlessly manage and automate complex data workflows.
What sets this book apart is its blend of theoretical knowledge and practical application, a structured path from basic to advanced concepts, and insights into using state-of-the-art tools. With this book, you gain access to cutting-edge techniques and insights that are reshaping the industry. This book is not just an educational tool. It is a career catalyst, and an investment in your future as a data engineering expert, poised to meet the challenges of today’s data-driven world.

What You Will Learn

• Elevate your data wrangling jobs by utilizing the power of both CPU and GPU computing, and learn to process data using Pandas 2.0, Polars, and CuDF at unprecedented speeds
• Design data validation pipelines, construct efficient data service APIs, develop real-time streaming pipelines and master the art of workflow orchestration to streamline your engineering projects
• Leverage concurrent programming to develop machine learning pipelines and get hands-on experience in development and deployment of machine learning pipelines across AWS, GCP, and Azure

Who This Book Is For
Data analysts, data engineers, data scientists, machine learning engineers, and MLOps specialists

Download from RapidGator
https://rapidgator.net/file/ab242430193dd32c42915b81386600d5/9j7d69nk89w6xby79agz7x.pdf

Narayanan A AI Snake Oil What Artificial Intelligence Can Do,What It Can’t 2024

General:

Name: Narayanan A AI Snake Oil What Artificial Intelligence Can Do,What It Can’t 2024
Format: pdf
Size: 21.68 MB

Book:

Title: AI Snake Oil
Author: Arvind Narayanan
Language: angielski
Year: 2024
Subjects: Computer Technology, Technology, Nonfiction
Publisher: Princeton University Press
ISBN: 9780691249131
Total pages: 355

Description:

From two of TIME’s 100 Most Influential People in AI, what you need to know about AI-and how to defend yourself against bogus AI claims and products
Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere-and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works and why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil-products that don’t work, and probably never will.
While acknowledging the potential of some AI, such as ChatGPT, AI Snake Oil uncovers rampant misleading claims about the capabilities of AI and describes the serious harms AI is already causing in how it’s being built, marketed, and used in areas such as education, medicine, hiring, banking, insurance, and criminal justice. The book explains the crucial differences between types of AI, why organizations are falling for AI snake oil, why AI can’t fix social media, why AI isn’t an existential risk, and why we should be far more worried about what people will do with AI than about anything AI will do on its own. The book also warns of the dangers of a world where AI continues to be controlled by largely unaccountable big tech companies.
By revealing AI’s limits and real risks, AI Snake Oil will help you make better decisions about whether and how to use AI at work and home.

Download from RapidGator
https://rapidgator.net/file/51256b70938026d5121d82593b6d6f9f/938h97it7z54w2xru9idly.pdf

Napolitano J A Short Introduction to Mathematical Concepts in Physics 2024

General:

Name: Napolitano J A Short Introduction to Mathematical Concepts in Physics 2024
Format: pdf
Size: 19.54 MB

Book:

Title: A Short Introduction to Mathematical Concepts in Physics
Author: Jim Napolitano
Language: angielski
Year: 2024
Subjects: Science & Technology, Science – General & Miscellaneous, Science->General and miscellaneous
Publisher: CRC Press
ISBN: 9781032404301
Total pages: 243

Description:

Mathematics is the language of physics and yet, mathematics is an enormous subject. This textbook provides an accessible and concise introduction to mathematical physics for undergraduate students taking a one semester course.
It assumes the reader has studied a year of introductory physics and three semesters of basic calculus, including some vector calculus, but no formal training in differential equations or matrix algebra. It equips readers with the skills and foundational knowledge they need for courses that follow in classical mechanics, electromagnetism, quantum mechanics, and thermal physics.
This book exposes students early on to the kinds of mathematical manipulations they will need in upper-level courses in physics. It can also serve as a useful reference for their further studies.
Key features:

• Accompanied by homework problems and a solutions manual for instructors, available upon qualifying course adoption
• Bridges the gap between calculus and physics, explaining fundamental mathematics (differentiation, integration, infinite series) in physical terms
• Explores quick extensions into mathematics useful in physics, not typically taught in math courses, including the Gamma Function, hyperbolic functions, Gaussian integrals, Legendre polynomials, functions of a complex variable, and probability distribution functions

Download from RapidGator
https://rapidgator.net/file/81e3f9c2d83f4a07e6e72be5987b514e/0vu95znihp008p5bch1w50.pdf

Naomis S Computational Tensor Analysis of Shell Structures 1990

General:

Name: Naomis S Computational Tensor Analysis of Shell Structures 1990
Format: pdf
Size: 44.61 MB

Book:

Title: Computational tensor analysis of shell structures
Author: Naomis, S. (Steve), 1962-
Language: polski
Year: 1990
Subjects: Science & Technology, Engineering, Construction & Building Trades, Construction & Building Trades – General & Miscellaneous
Publisher: Springer Berlin Heidelberg
ISBN: 9783540528524
Total pages: 328

Description:

This book presents a method which is capable of evaluating the deformation characteristics of thin shell structures A free vibration analysis is chosen as a convenient means of studying the displacement behaviour of the shell, enabling it to deform naturally without imposing any particular loading conditions. The strain-displacement equations for thin shells of arbitrary geometry are developed. These relationships are expressed in general curvilinear coordinates and are formulated entirely in the framework of tensor calculus. The resulting theory is not restricted to shell structures characterized by any particular geometric form, loading or boundary conditions. The complete displacement and strain equations developed by Flugge are approximated by the curvilinear finite difference method and are applied to computing the natural frequencies and mode shapes of general thin shells. This approach enables both the displacement components and geometric properties of the shell to be approximated numerically and accurately. The selection of an appropriate displacement field to approximate the deformation of the shell within each finite difference mesh is discussed in detail. In addition, comparisons are made between the use of second and third-order finite difference interpolation meshes.

Download from RapidGator
https://rapidgator.net/file/d37e8186bd84e2d8e100ee501caeae01/75b2vi3ljw94r1gku5u6n4.pdf

Nakazawa N Random Number Generator on Computers 2025

General:

Name: Nakazawa N Random Number Generator on Computers 2025
Format: pdf
Size: 8.48 MB

Book:

Title: Random Number Generator on Computers
Author: Naoya Nakazawa
Language: angielski
Year: 2024
Subjects: Science & Technology, Mathematics, Numerical Analysis & Solutions
Publisher: Jenny Stanford Publishing
ISBN: 9781000908312
Total pages: 121

Description:

This monograph proves that any finite random number sequence is represented by the multiplicative congruential (MC) way. It also shows that an MC random number generator (d, z) formed by the modulus d and the multiplier z should be selected by new regular simplex criteria to give random numbers an excellent disguise of independence. The new criteria prove further that excellent subgenerators (d1,z1) and (d2,z2) with coprime odd submoduli d1 and d2 form an excellent combined generator (d = d1d2,z) with high probability by Sunzi’s theorem of the 5th-6th centuries (China), contrasting the fact that such combinations could never be found with MC subgenerators selected in the 20th-century criteria. Further, a combined MC generator (d = d1d2,z) of new criteria readily realizes periods of 252 or larger, requiring only fast double-precision arithmetic by powerful Sunzi’s theorem. We also obtain MC random numbers distributed on spatial lattices, say two-dimensional 4000 by 4000 lattices which may be tori, with little pair correlations of random numbers across the nearest neighbors. Thus, we evade the problems raised by Ferrenberg, Landau, and Wong.

Download from RapidGator
https://rapidgator.net/file/6debeffe7b7a3502021f7ab396ebe618/7r2352yp7n0k4w4l7sigid.pdf

Nahhas R Introduction to Regression Methods for Public Health Using R 2024

General:

Name: Nahhas R Introduction to Regression Methods for Public Health Using R 2024
Format: pdf
Size: 6.56 MB

Book:

Title: Introduction to Regression Methods for Public Health Using R
Author: Ramzi W. Nahhas
Language: polski
Year: 2024
Subjects: Mathematics, Medical, Sociology, Nonfiction
Publisher: CRC Press
ISBN: 9781032203072
Total pages: 457

Description:

Introduction to Regression Methods for Public Health Using R teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes using R as a tool. Regression is a useful tool for understanding the associations between an outcome and a set of explanatory variables, and regression methods are commonly used in many fields, including epidemiology, public health, and clinical research. The focus of this book is on understanding and fitting regression models, diagnosing model fit, and interpreting and writing up results. Examples are drawn from public health and clinical studies. Designed for students, researchers, and practitioners with a basic understanding of introductory statistics, this book teaches the basics of regression and how to implement regression methods using R, allowing the reader to enhance their understanding and begin to grasp new concepts and models.
The text includes an overview of regression (Chapter 2); how to examine and summarize the data (Chapter 3), simple (Chapter 4) and multiple (Chapter 5) linear regression; binary, ordinal, and conditional logistic regression, and log-binomial regression (Chapter 6); Cox proportional hazards regression (survival analysis) (Chapter 7); handling data arising from a complex survey design (Chapter 8); and multiple imputation of missing data (Chapter 9). Each chapter closes with a comprehensive set of exercises.
Key Features:

Comprehensive coverage of the most commonly used regression methods, as well as how to use regression with complex survey data or missing data

Accessible to those with only a first course in statistics

Serves as a course textbook, as well as a reference for public health and clinical researchers seeking to learn regression and/or how to use R to do regression analyses

Includes examples of how to diagnose the fit of a regression model

Includes examples of how to summarize, visualize, table, and write up the results

Includes R code to run the examples

Download from RapidGator
https://rapidgator.net/file/6874e5b8c73c35b3400a13847769261e/2152dcki0tw81nc65dja0d.pdf