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Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling
by Javier Luraschi Kevin Kuo Edgar RuizIf you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems.Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users.Analyze, explore, transform, and visualize data in Apache Spark with RCreate statistical models to extract information and predict outcomes; automate the process in production-ready workflowsPerform analysis and modeling across many machines using distributed computing techniquesUse large-scale data from multiple sources and different formats with ease from within SparkLearn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scaleDive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions
Mastering Splunk
by James MillerThis book is for those Splunk developers who want to learn advanced strategies to deal with big data from an enterprise architectural perspective. You need to have good working knowledge of Splunk.
Mastering Spring 5: An effective guide to build enterprise applications using Java Spring and Spring Boot framework, 2nd Edition
by Ranga Rao KaranamBuild scalable and flexible Rest APIs and microservices using the latest versions of Spring and Spring Boot Key Features Build Java-based enterprise applications using Spring 5.1 and Spring Boot 2.1 Create high performing, reusable, and scalable enterprise Java applications that are easy to test Gain powerful insights into advanced Spring and Spring Boot concepts to develop applications effectively Book Description Spring 5.1 is the latest release of the widely used Spring Framework. This book takes you through the evolution of building enterprise-ready applications with Spring and Spring Boot. Mastering Spring 5 starts with an overview of some of the important Spring Framework features relating to aspect-oriented programming, task scheduling, and scripting with the help of practical examples. You'll learn about the standard dependency injection specification for Java contexts and CDI and how the Spring Framework supports it. You'll gain an understanding of how application architectures have evolved from monoliths to microservices and be able to build your own microservices using Spring Boot. Complete with real-world examples, this book will help you gain powerful insights into Spring Boot 2.1 and learn how to develop cloud-native microservices with Spring Cloud. You'll even explore how to secure a REST API with Spring Security and get started with your first full stack application using React. Furthermore, you'll get to grips with Kotlin fundamentals and build a Kotlin project in Eclipse. By the end of this book, you'll be equipped with all the knowledge required to develop microservices and full stack applications with the Spring Framework. What you will learn Explore Spring Framework 5.1 features such as AOP, transaction management, task scheduling, and scripting Build REST APIs and microservices with Spring and Spring Boot Develop a secure REST API with Spring Security Build your first full stack React application Write efficient unit tests with Spring and Spring Boot Understand the advanced features that Spring Boot offers to develop and monitor applications Use Spring Cloud to deploy and manage applications on the Cloud Who this book is for This book is for experienced Java and enterprise Java developers and programmers who have a basic understanding of the Spring Framework.
Mastering Statistical Process Control
by Tim StapenhurstMastering Statistical Process Control shows how to understand business or process performance more clearly and more effectively. This practical book is based on a rich and varied selection of case studies from across industry and commerce, including material from the manufacturing, extractive and service sectors. It will enable readers to understand how SPC can be used to maximum effect, and will deliver more effective monitoring, control and improvement in systems, processes and management. The common obstacle to successful use of SPC is getting bogged down with control charts, forgetting that visual representation of data is but a tool and not an end in itself. Mastering SPC demonstrates how statistical tools are applied and used in reality. This is a book that will open up the power of SPC for many: managers, quality professionals, engineers and analysts, as well as students, will welcome the clarity and explanation that it brings to understanding the use and benefit of SPC in a wide range of engineering, production and service situations. Key case studies include using SPC to: · Measure quality and human factors · Monitor process performance accurately over long periods · Develop best-practice benchmarks using control charts · Maximise profitability of fixed assets · Improve customer service and satisfaction
Mastering Text Analytics: A Hands-on Guide to NLP Using Python
by Shailendra Kadre Shailesh Kadre Subhendu DeyThis book is a comprehensive guide to mastering Natural Language Processing (NLP), a rapidly growing field in AI-powered text and data analytics. It equips you with tools and techniques to extract valuable insights from both structured and unstructured data, enabling you to uncover insights beyond the reach of traditional data analysis methods and stay competitive in this evolving domain. The book starts with foundational concepts, such as collecting and extracting data for NLP projects, before progressing to advanced topics like applications of transfer learning in NLP and Large Language Models (LLMs). Each chapter emphasizes real-world applications and includes practical case studies to ensure the knowledge is immediately applicable. Throughout the book, readers will find Python code demonstrations, hands-on projects, and detailed explanations of key concepts. Special features include business use cases from industries like healthcare and customer service, practice exercises to reinforce learning, and explorations of emerging NLP technologies. These elements make the book not only informative but also highly engaging and interactive. By the end of the book, the reader will have a solid foundation in Generative AI techniques to apply them to complex challenges. Whether you&’re a budding data scientist or a seasoned professional, this guide will help you harness the power of AI-driven text and data analytics effectively. What you will learn: Understand NLP with easy-to-follow explanations, examples, and Python implementations. Explore techniques such as transformers, word embeddings, and pragmatic analysis in real-world contexts. Work with real-world datasets and apply pre-processing, tokenization, and text extraction using NLP libraries. How to build complete NLP pipelines from data collection to model implementation, including sentiment analysis and chatbots. Learn state-of-the-art methods like deep learning techniques in NLP, large language models (LLMs), and zero-shot learning in NLP. Who this book is for: This book is tailored for data scientists, machine learning engineers, AI practitioners, and software developers seeking to learn NLP techniques and apply them to solve problems.
Mastering VMware vSphere 6.5: Leverage The Power Of Vsphere For Effective Virtualization, Administration, Management And Monitoring Of Data Centers
by Andrea Mauro<P><P>Deliver great business value by adopting the virtualization platform VMware vSphere 6.5, from design to deployment <P><P>Key Features <P><P>This new edition is based on vSphere 6.5 and covers new features in different areas, including management, security, scalability, availability and more <P><P>Design, deploy and manage VMware datacenters <P><P>Implement monitoring and security of VMware workloads with ease <P><P>Book Description <P><P>VMware vSphere 6.5 provides a powerful, flexible and secure foundation for next generation applications which helps you create effective digital transformation. This book is based on VMware vSphere 6.5 which empowers you to virtualize complex applications with ease. <P><P>You'll begin by getting an overview of all the products, solutions and features of the vSphere 6.5 suite, comparing any changes with previous releases. Next, you'll design and plan a virtualization infrastructure to drive planning and performance analysis. Following this, you'll proceed with workflow and installation of components. New network trends are also covered which will help you in optimally designing the vSphere environment. You will also learn the practices and procedures involved in configuring and managing virtual machines in a vSphere infrastructure. With vSphere 6.5, you'll make use of significantly more powerful capabilities for patching, upgrading, and managing the configuration of the virtual environment. Next we'll focus on specific availability and resiliency solutions in vSphere. <P><P>Towards the end of the book you'll discover how to save your configuration, data and workload from your virtual infrastructure. By the end of the book you'll have learnt about VMware vSphere 6.5 right from design through to deployment and management. <P><P>What you will learn <P><P>Get a deep understanding of vSphere 6.5 functionalities <P><P>Design and plan a virtualization environment based on vSphere 6.5 <P><P>Manage and administer a vSphere 6.5 environment and resources <P><P>Get tips for the VCP6DCV and VCIX6DCV exams (along with use of the vSphere 6 documentation) <P><P>Implement different migration techniques to move your workload across different environments <P><P>Save your configuration, data and workload from your virtual infrastructure <P><P>Who This Book Is For <P><P>If you're an administrator, infrastructure engineer, IT architect, or an IT consultant and analyst who already has basic knowledge of VMware vSphere and now want to master it, then this book is for you.
Mastering Visual Studio 2019 - Second Edition
by Kunal ChowdhuryMicrosoft .NET Developers who would like to learn the new features of Visual Studio 2019, and would like to delve into newer areas such as cloud computing, .NET Core, TypeScript, along with mastering the skills of building, debugging and unit testing professional apps, would benefit from this book. Basic knowledge of Visual Studio, .NET and C# is assumed.
Mastering Windows PowerShell Scripting: Automate and manage your environment using PowerShell Core 6.0, 3rd Edition
by Chris DentGrasp advanced PowerShell Core 6.0 functionalities to automate your environmentKey FeaturesKeep up with changes introduced in PowerShell Core 6.0Easily maintain appropriate compatibility with older versionsAutomate complex tasks, manipulate data, and secure your environment with PowerShell Core 6.0Book DescriptionPowerShell scripts offer a handy way to automate various chores, however working effectively with these scripts can be a difficult task.This comprehensive guide starts with the fundamentals before moving on to advanced-level topics to help you become a PowerShell Core 6.0 expert. The first module, PowerShell Core 6.0 Fundamentals, begins with the new features of PowerShell Core 6.0, installing it on Linux, and working with parameters, objects and .NET classes from within PowerShell Core 6.0. As you make your way through the chapters, you'll see how to efficiently manage large amounts of data and interact with other services using PowerShell Core 6.0. You'll be able to make the most of PowerShell Core 6.0's powerful automation feature, where you will have different methods available to parse data and manipulate regular expressions and Windows Management Instrumentation (WMI). After having explored automation, you will enter the extending PowerShell Core 6.0 module, covering asynchronous processing and desired state configuration. In the last module, you will learn to extend PowerShell Core 6.0 using advanced scripts and filters, and also debug issues along with working on error handling techniques.By the end of this book, you will be an expert in scripting with PowerShell Core 6.0.What you will learnOptimize code through the use of functions, switches, and looping structuresWork with objects and operators to test and manipulate dataParse and manipulate different data typesCreate scripts and functions using PowerShellUse jobs, events, and popular public modules which assist with implementing multithreadingWrite .NET classes with ease within the PowerShellCreate and implement regular expressions in PowerShell scriptsMake use of advanced techniques to define and restrict the behavior of parametersWho this book is forIf you are a system administrator who wants to become an expert in controlling and automating your Windows environment, then Mastering Windows PowerShell Scripting is for you. It is also ideal for those new to the PowerShell language.
Mastering Your PhD
by Lambertus D. Noordam Patricia Gosling"Mastering Your PhD: Survival and Success in the Doctoral Years and Beyond" helps guide PhD students through their graduate student years. Filled with practical advice on getting started, communicating with your supervisor, staying the course, and planning for the future, this book is a handy guide for graduate students who need that extra bit of help getting started and making it through. While mainly directed at PhD students in the sciences, the book's scope is broad enough to encompass the obstacles and hurdles that almost all PhD students face during their doctoral training. Who should read this book? Students of the physical and life sciences, computer science, math, and medicine who are thinking about entering a PhD program; doctoral students at the beginning of their research; and any graduate student who is feeling frustrated and stuck. It's never too early -- or too late! This second edition contains a variety of new material, including additional chapters on how to communicate better with your supervisor, dealing with difficult people, how to find a mentor, and new chapters on your next career step, once you have your coveted doctoral degree in hand.
Mastering Your PhD: Survival and Success in the Doctoral Years and Beyond
by Patricia Gosling Bart NoordamThis bestselling book guides PhD students through their graduate years and beyond. Filled with practical advice on getting started, communicating with your supervisor, staying the course, and planning for the future, this book is an indispensable guide for graduate students who need that extra bit of help getting started and making it through. Who should read this book? Any student currently in, or curious about, a PhD programme, be it in the physical and life sciences, engineering, computer science, math, medicine, or the humanities — this book tackles the obstacles and hurdles that almost all PhD students face during their doctoral training. Whether you’re at the very beginning of your research, close to the end, or just feeling frustrated and stuck at any point in between…it’s never too early — or too late — to focus on your success! This third edition contains a variety of new material, including additional chapters and advice on how to make the most of remote learning, collaboration, and communication tools, as well as updated material on your next career step once you have your coveted doctoral degree in hand. Some of the material in the third edition appeared as part of a monthly column on the ScienceCareers website.
Mastering pandas
by Femi AnthonyThis book is intended for Python programmers, mathematicians, and analysts who already have a basic understanding of Python and wish to learn about its data analysis capabilities in depth.
Mastering the Louisiana iLEAP Grade 3 in Mathematics
by Erica Day Colleen Pintozzi Mary ReaganMastering the Louisiana iLEAP Grade 3 in Mathematics will help you review and learn important concepts and skills related to 3rd grade mathematics.
Mastery Mathematics for Primary Teachers
by Robert NewellThis book examines how mathematical mastery, influenced by East Asian teaching approaches, can be developed in UK schools to enhance teaching and to deepen children’s mathematical knowledge. It gives guidance on using physical resources to demonstrate key concepts, extended examples on how to teach different curriculum topics and how to plan for small-step progression. It argues that effective mastery teaching requires careful and knowledgeable support for primary teachers who may not yet be maths specialists. New to this second edition: New chapter on variation theory and practice Updated case studies exploring how mastery teaching has evolved Updated review of current mastery resources available to UK teachers Robert Newell is a lecturer at the UCL Institute of Education, London.
Mastery Mathematics for Primary Teachers
by Robert NewellThis book examines how mathematical mastery, influenced by East Asian teaching approaches, can be developed in UK schools to enhance teaching and to deepen children’s mathematical knowledge. It gives guidance on using physical resources to demonstrate key concepts, extended examples on how to teach different curriculum topics and how to plan for small-step progression. It argues that effective mastery teaching requires careful and knowledgeable support for primary teachers who may not yet be maths specialists. New to this second edition: New chapter on variation theory and practice Updated case studies exploring how mastery teaching has evolved Updated review of current mastery resources available to UK teachers Robert Newell is a lecturer at the UCL Institute of Education, London.
MasteryKeys: Applied Math Student Workbook
by MasteryPrepFrom this book you will learn addition, subtraction, multiplication, and division. You will learn how to convert numbers between fractions, decimals, and percentages. Lastly, you will learn how to solve problems dealing with negative numbers, money, and time.
Matemática para todos
by Adrián PaenzaEl padre de la matemática recreativa en la Argentina nos desafía con másjuegos, problemas y enigmas. Con problemas de lógica, estrategia, probabilidades e intuición, AdriánPaenza nos desafía una vez más a pensar y animarnos a jugar a lamatemágica. Como dijo Richard Hamming: «Conocimiento y productividad soncomo el interés compuesto. Dadas dos personas con -aproximadamente- lamisma habilidad, si una de ellas trabaja un diez por ciento más que laotra, la que trabaja más va a terminar por producir más del doble que laotra. Cuanto más sabés, más aprendés. Cuanto más aprendés, más podéshacer. Cuanto más podés hacer, más oportunidades vas a tener. Funcionacomo el interés compuesto. No quiero dar un número porque no es algoexacto, pero dadas dos personas con la misma habilidad, la persona quepueda dedicarle todos los días una hora más a pensar que la otra, va aterminar siendo muchísimo más productiva en comparación a lo largo de lavida». Pensar, nos educa. «Matemática para todos» es el nuevo aporte deAdrián Paenza a la divulgación de la matemática.
Matemática para todos
by Adrián PaenzaAdrián Paenza, ganador del premio Leelavati al mejor divulgador de matemáticas del mundo y autor de exitosos títulos como Matemagia o ¿Pero esto también es matemática? , nos desafía una vez más a pensar con nuevos problemas de lógica, estrategia, probabilidades e intuición. Como dijo Richard Hamming: «Conocimiento y productividad son como el interés compuesto. Dadas dos personas con -aproximadamente- la misma habilidad, si una de ellas trabaja un diez por ciento más que la otra, la que trabaja más va a terminar por producir más del doble que la otra. Cuanto más sabes, más aprendes. Cuanto más aprendes, más puedes hacer. Cuanto más puedes hacer, más oportunidades vas a tener. Funciona como el interés compuesto. No quiero dar un número porque no es algo exacto, pero dadas dos personas con la misma habilidad, la persona que pueda dedicarle todos los días una hora más a pensar que la otra, va a terminar siendo muchísimo más productiva en comparación a lo largo de la vida». Pensar nos educa y Matemática para todos es el nuevo aporte de Adrián Paenza a la divulgación de las matemáticas.
Matemática y fascinación
by Adrián PaenzaAdrián Paenza nos invita a bajar un cambio y pasar un tiempo con nosotros mismos para hacer matemática como los matemáticos. La matemática está presente todos los días en cada momento de nuestras vidas y hasta nos sirve para tomar decisiones difíciles. Pero también es capaz de jugar con nuestra curiosidad para sorprendernos y fascinarnos como cuando éramos niños. Baje un cambio y disfrute de este libro: conozca los números narcisistas y resuelva problemas tendenciosos. Descubra un mensaje encriptado. Cuente con los dedos de las dos manos hasta mucho más de mil. Atrévase a presentar a su familia o amigos un pase de magia. Diviértase con el póquer de la vida real. Deje que se le ponga la piel de gallina con la extraordinaria historia de las hermanas ajedrecistas... En fin, haga matemática como los matemáticos. Anímese a pasar un tiempo con usted mismo para desafiarse. ¡Vale la pena!
Matemáticas: Edición basada en los estándares comunes, CCSS, Curso 1, Volumen 1 (Math Applic And Conn Crse Ser.)
by Day Carter CuevasNIMAC-sourced textbook
Matemáticas: Edición basada en los estándares comunes, CCSS, Curso 1, Volumen 2 (Math Applic And Conn Crse Ser.)
by Day Carter CuevasNIMAC-sourced textbook
Matemáticas: Edición basada en los estándares comunes, CCSS, Curso 2, Volumen 1
by Day Carter CuevasNIMAC-sourced textbook
Matemáticas: Edición basada en los estándares comunes, CCSS, Curso 3, Volumen 1 (Math Applic And Conn Crse Ser.)
by Day Carter CuevasNIMAC-sourced textbook
Matemáticas: Edición basada en los estándares comunes, CCSS, Curso 3, Volumen 2 (Math Applic And Conn Crse Ser.)
by Day Carter CuevasNIMAC-sourced textbook
Material Inhomogeneities in Elasticity
by G.A. MauginSelf contained, this book presents a thorough introduction to the complementary notions of physical forces and material (or configurational) forces. All the required elements of continuum mechanics, deformation theory and differential geometry are also covered. This book will be a great help to many, whilst revealing to others a rather new facet of continuum mechanics in general, and elasticity in particular. An organized exposition of continuum mechanics on the material manifold is given which allows for the consideration of material inhomogeneities in their most appropriate framework. In such a frame the nonlinear elasticity of anisotropic inhomogenous materials appears to be a true field theory. Extensions to the cases of electroelasticity and magnetelasticity are then straightforward. In addition, this original approach provides systematic computational means for the evaluation of characteristic parameters which are useful in various branches of applied mechanics and mathematical physics. This is the case for path-independent integrals and energy-release rates in brittle fracture, the influence of electromagnetic fields on fracture criteria (such as in ceramics), the notion of momentum of electromagnetic fields in matter in optics, and the perturbation of solitons propagating in elastic dispersive systems.
Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering (The Materials Research Society Series)
by Stefan SandfeldThis text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods and algorithms introduced are implemented “from scratch” using Python and NumPy. The book starts with an introduction to statistics and probabilities, explaining important concepts such as random variables and probability distributions, Bayes’ theorem and correlations, sampling techniques, and exploratory data analysis, and puts them in the context of materials science and engineering. Therefore, it serves as a valuable primer for both undergraduate and graduate students, as well as a review for research scientists and practicing engineers. The second part provides an in-depth introduction of (statistical) machine learning. It begins with outlining fundamental concepts and proceeds to explore a variety of supervised learning techniques for regression and classification, including advanced methods such as kernel regression and support vector machines. The section on unsupervised learning emphasizes principal component analysis, and also covers manifold learning (t-SNE and UMAP) and clustering techniques. Additionally, feature engineering, feature importance, and cross-validation are introduced. The final part on neural networks and deep learning aims to promote an understanding of these methods and dispel misconceptions that they are a “black box”. The complexity gradually increases until fully connected networks can be implemented. Advanced techniques and network architectures, including GANs, are implemented “from scratch” using Python and NumPy, which facilitates a comprehensive understanding of all the details and enables the user to conduct their own experiments in Deep Learning.