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Fast Compact Algorithms and Software for Spline Smoothing
by Howard L. WeinertFast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validation score. These algorithms are based on Cholesky factorization, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer.
Fast Data Processing Systems with SMACK Stack
by Raul EstradaCombine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the hardest of your data troubles! About This Book • This highly practical guide shows you how to use the best of the big data technologies to solve your response-critical problems • Learn the art of making cheap-yet-effective big data architecture without using complex Greek-letter architectures • Use this easy-to-follow guide to build fast data processing systems for your organization Who This Book Is For If you are a developer, data architect, or a data scientist looking for information on how to integrate the Big Data stack architecture and how to choose the correct technology in every layer, this book is what you are looking for. What You Will Learn • Design and implement a fast data Pipeline architecture • Think and solve programming challenges in a functional way with Scala • Learn to use Akka, the actors model implementation for the JVM • Make on memory processing and data analysis with Spark to solve modern business demands • Build a powerful and effective cluster infrastructure with Mesos and Docker • Manage and consume unstructured and No-SQL data sources with Cassandra • Consume and produce messages in a massive way with Kafka In Detail SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the newest technique developers have begun to use to tackle critical real-time analytics for big data. This highly practical guide will teach you how to integrate these technologies to create a highly efficient data analysis system for fast data processing. We'll start off with an introduction to SMACK and show you when to use it. First you'll get to grips with functional thinking and problem solving using Scala. Next you'll come to understand the Akka architecture. Then you'll get to know how to improve the data structure architecture and optimize resources using Apache Spark. Moving forward, you'll learn how to perform linear scalability in databases with Apache Cassandra. You'll grasp the high throughput distributed messaging systems using Apache Kafka. We'll show you how to build a cheap but effective cluster infrastructure with Apache Mesos. Finally, you will deep dive into the different aspect of SMACK using a few case studies. By the end of the book, you will be able to integrate all the components of the SMACK stack and use them together to achieve highly effective and fast data processing. Style and approach With the help of various industry examples, you will learn about the full stack of big data architecture, taking the important aspects in every technology. You will learn how to integrate the technologies to build effective systems rather than getting incomplete information on single technologies. You will learn how various open source technologies can be used to build cheap and fast data processing systems with the help of various industry examples
Fast Data Processing with Spark 2 - Third Edition
by Krishna SankarLearn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker big data projects. About This Book * A quick way to get started with Spark - and reap the rewards * From analytics to engineering your big data architecture, we've got it covered * Bring your Scala and Java knowledge - and put it to work on new and exciting problems Who This Book Is For This book is for developers with little to no knowledge of Spark, but with a background in Scala/Java programming. It's recommended that you have experience in dealing and working with big data and a strong interest in data science. What You Will Learn * Install and set up Spark in your cluster * Prototype distributed applications with Spark's interactive shell * Perform data wrangling using the new DataFrame APIs * Get to know the different ways to interact with Spark's distributed representation of data (RDDs) * Query Spark with a SQL-like query syntax * See how Spark works with big data * Implement machine learning systems with highly scalable algorithms * Use R, the popular statistical language, to work with Spark * Apply interesting graph algorithms and graph processing with GraphX In Detail When people want a way to process big data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it's unsurprising that it's becoming popular with data analysts and engineers everywhere. Beginning with the fundamentals, we'll show you how to get set up with Spark with minimum fuss. You'll then get to grips with some simple APIs before investigating machine learning and graph processing - throughout we'll make sure you know exactly how to apply your knowledge. You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that's not enough, you'll also learn some useful Machine Learning algorithms with the help of Spark MLlib and integrating Spark with R. We'll also make sure you're confident and prepared for graph processing, as you learn more about the GraphX API. Style and approach This book is a basic, step-by-step tutorial that will help you take advantage of all that Spark has to offer.
Fast Data Processing with Spark - Second Edition
by Holden Karau Krishna SankarFast Data Processing with Spark - Second Edition is for software developers who want to learn how to write distributed programs with Spark. It will help developers who have had problems that were too big to be dealt with on a single computer. No previous experience with distributed programming is necessary. This book assumes knowledge of either Java, Scala, or Python.
Fast Design, Slow Innovation
by David M. FrohlichAs well as updating the manifesto for an audio photography technology and practice, this book addresses issues in design history, the social shaping of technology and the management of innovation. In particular, it reveals the very different timescales over which design and innovation operate, and the way in which design ideas evolve across different research groups, companies and application areas. The capture of photographs with sound is a simple idea, proposed 10 years ago, that has still not become widespread. In this new edition of the seminal 2004 book on Audio photography, the author asks "Why?" A journey through the book's citations and related commercial products shows considerable progress in understanding the role of sound in photography, and myriad design experiments to support audio visual storytelling as a new media form. The book is a story in itself about the "long nose of innovation", and a lesson about the need for patience and persistence in the computer industry. To reinforce this point five of the 2004 chapters are re-published in their original form. These describe invariant properties of ambient musical, talking and conversational photographs, and the possibility of playback from paper as well as screen. Fast Design, Slow Innovation will be of interest to researchers and designers of new media systems and experiences, and to innovation scholars or managers looking for a ten year case study of innovation in action.
Fast Fourier Transform Algorithms for Parallel Computers (High-Performance Computing Series #2)
by Daisuke TakahashiFollowing an introduction to the basis of the fast Fourier transform (FFT), this book focuses on the implementation details on FFT for parallel computers. FFT is an efficient implementation of the discrete Fourier transform (DFT), and is widely used for many applications in engineering, science, and mathematics. Presenting many algorithms in pseudo-code and a complexity analysis, this book offers a valuable reference guide for graduate students, engineers, and scientists in the field who wish to apply FFT to large-scale problems.Parallel computation is becoming indispensable in solving the large-scale problems increasingly arising in a wide range of applications. The performance of parallel supercomputers is steadily improving, and it is expected that a massively parallel system with hundreds of thousands of compute nodes equipped with multi-core processors and accelerators will be available in the near future. Accordingly, the book also provides up-to-date computational techniques relevant to the FFT in state-of-the-art parallel computers. Following the introductory chapter, Chapter 2 introduces readers to the DFT and the basic idea of the FFT. Chapter 3 explains mixed-radix FFT algorithms, while Chapter 4 describes split-radix FFT algorithms. Chapter 5 explains multi-dimensional FFT algorithms, Chapter 6 presents high-performance FFT algorithms, and Chapter 7 addresses parallel FFT algorithms for shared-memory parallel computers. In closing, Chapter 8 describes parallel FFT algorithms for distributed-memory parallel computers.
Fast Gates and Mixed-Species Entanglement with Trapped Ions (Springer Theses)
by Vera M. SchäferQuantum logic gates are the crucial information-processing operation of quantumcomputers. Two crucial performance metrics for logic gates are their precision andspeed. Quantum processors based on trapped ions have always been the touchstonefor gate precision, but have suffered from slow speed relative to other quantum logicplatforms such as solid state systems. This thesis shows that it is possible to acceleratethe logic "clock speed" from kHz to MHz speeds, whilst maintaining a precision of99.8%. This is almost as high as the world record for conventional trapped-ion gates,but more than 20 times faster. It also demonstrates entanglement generation in atime (480ns) shorter than the natural timescale of the ions' motion in the trap, whichstarts to probe an interesting new regime of ion trap physics.In separate experiments, some of the first "mixed-species" quantum logic gates areperformed, both between two different elements, and between different isotopes.The mixed-isotope gate is used to make the first test of the quantum-mechanical Bellinequality between two different species of isolated atoms.
Fast Kart, Slow Kart (Step into Reading)
by Apple JordanDisney's Wreck-It Ralph is a computer-animated feature film about a video game villain who wants nothing more than to be the good guy for a change. But when Ralph finally gets his chance, he discovers that being the hero isn't as easy as it looks. Soon the entire video game world is at stake, and if Ralph doesn't play to win, it could mean "Game Over" for every game in the arcade! This Step 1 reader based on the film is perfect for kids ages 4-6. Plus it comes with over 30 stickers!
Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT: MICCAI Challenge, FLARE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings (Lecture Notes in Computer Science #14544)
by Jun Ma Bo WangThis book constitutes the proceedings of the MICCAI 2023 Challenge, FLARE 2023, held in Conjunction with MICCAI 2023, in Vancouver, BC, Canada, on October 8, 2023. The 27 full papers presented in this book were carefully reviewed and selected from 37 submissions. The papers present research and results for abdominal organ segmentation which has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.
Fast Matrix Multiplication with Applications (Studies in Big Data #166)
by Jerzy S. RespondekThe ambition of this monograph is to show the methods of constructing fast matrix multiplication algorithms, and their applications, in an intelligible way, accessible not only to mathematicians. The scope and coverage of the book are comprehensive and constructive, and the analyses and algorithms can be readily applied by readers from various disciplines of science and technology who need modern tools and techniques related to fast matrix multiplication and related problems and techniques. Authors start from commutative algorithms, through exact non-commutative algorithms, partial algorithms to disjoint and arbitrary precision algorithms. Authors explain how to adapt disjoint algorithms to a single matrix multiplication and prove the famous tau-theorem in the (not so) special case. In an appendix, authors show how to work with confluent Vandermonde matrices, since they are used as an auxiliary tool in problems arising in fast matrix multiplication. Importantly, each algorithm is demonstrated by a concrete example of a decent dimensionality to ensure that all the mechanisms of the algorithms are illustrated. Finally, authors give a series of applications of fast matrix multiplication algorithms in linear algebra and other types of problems, including artificial intelligence.
Fast Python: High performance techniques for large datasets
by Tiago AntaoMaster Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex machine learning applications. Fast Python is a toolbox of techniques for high performance Python including: Writing efficient pure-Python code Optimizing the NumPy and pandas libraries Rewriting critical code in Cython Designing persistent data structures Tailoring code for different architectures Implementing Python GPU computing Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy. Written for experienced practitioners, this book dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the Technology Face it. Slow code will kill a big data project. Fast pure-Python code, optimized libraries, and fully utilized multiprocessor hardware are the price of entry for machine learning and large-scale data analysis. What you need are reliable solutions that respond faster to computing requirements while using less resources, and saving money. About the Book Fast Python is a toolbox of techniques for speeding up Python, with an emphasis on big data applications. Following the clear examples and precisely articulated details, you&’ll learn how to use common libraries like NumPy and pandas in more performant ways and transform data for efficient storage and I/O. More importantly, Fast Python takes a holistic approach to performance, so you&’ll see how to optimize the whole system, from code to architecture. What&’s Inside Rewriting critical code in Cython Designing persistent data structures Tailoring code for different architectures Implementing Python GPU computing About the Reader For intermediate Python programmers familiar with the basics of concurrency. About the Author Tiago Antão is one of the co-authors of Biopython, a major bioinformatics package written in Python. Table of Contents: PART 1 - FOUNDATIONAL APPROACHES 1 An urgent need for efficiency in data processing 2 Extracting maximum performance from built-in features 3 Concurrency, parallelism, and asynchronous processing 4 High-performance NumPy PART 2 - HARDWARE 5 Re-implementing critical code with Cython 6 Memory hierarchy, storage, and networking PART 3 - APPLICATIONS AND LIBRARIES FOR MODERN DATA PROCESSING 7 High-performance pandas and Apache Arrow 8 Storing big data PART 4 - ADVANCED TOPICS 9 Data analysis using GPU computing 10 Analyzing big data with Dask
Fast Radial Basis Functions for Engineering Applications
by Marco Evangelos BiancoliniThis book presents the first “How To” guide to the use of radial basis functions (RBF). It provides a clear vision of their potential, an overview of ready-for-use computational tools and precise guidelines to implement new engineering applications of RBF. Radial basis functions (RBF) are a mathematical tool mature enough for useful engineering applications. Their mathematical foundation is well established and the tool has proven to be effective in many fields, as the mathematical framework can be adapted in several ways. A candidate application can be faced considering the features of RBF: multidimensional space (including 2D and 3D), numerous radial functions available, global and compact support, interpolation/regression. This great flexibility makes RBF attractive – and their great potential has only been partially discovered. This is because of the difficulty in taking a first step toward RBF as they are not commonly part of engineers’ cultural background, but also due to the numerical complexity of RBF problems that scales up very quickly with the number of RBF centers. Fast RBF algorithms are available to alleviate this and high-performance computing (HPC) can provide further aid. Nevertheless, a consolidated tradition in using RBF in engineering applications is still missing and the beginner can be confused by the literature, which in many cases is presented with language and symbolisms familiar to mathematicians but which can be cryptic for engineers. The book is divided in two main sections. The first covers the foundations of RBF, the tools available for their quick implementation and guidelines for facing new challenges; the second part is a collection of practical RBF applications in engineering, covering several topics, including response surface interpolation in n-dimensional spaces, mapping of magnetic loads, mapping of pressure loads, up-scaling of flow fields, stress/strain analysis by experimental displacement fields, implicit surfaces, mesh to cad deformation, mesh morphing for crack propagation in 3D, ice and snow accretion using computational fluid dynamics (CFD) data, shape optimization for external aerodynamics, and use of adjoint data for surface sculpting. For each application, the complete path is clearly and consistently exposed using the systematic approach defined in the first section.
Fast Reactor System Design
by Naoto KasaharaThis book describes the fast reactor (FR), a type of new reactor for nuclear plants, currently under research and development. The book targets young researchers and engineers who will be charged with commercializing this new type of reactor to lead to the development of new components and systems for improved plant reliability and economy. This volume also helps readers to understand the methods of integrating the power plant in its entirety, from the reactor core to all of the various systems and components, and teaches the way of thinking that forms the background of these methods. This background includes the various organizational and management issues that are encountered as projects move forward and will be explored in great detail based on actual design and construction experience with Japan's prototype FR, Monju.
Fast Sequential Monte Carlo Methods for Counting and Optimization
by Radislav Vaisman Ad Ridder Reuven Y. RubinsteinA comprehensive account of the theory and application of Monte Carlo methodsBased on years of research in efficient Monte Carlo methods for estimation of rare-event probabilities, counting problems, and combinatorial optimization, Fast Sequential Monte Carlo Methods for Counting and Optimization is a complete illustration of fast sequential Monte Carlo techniques. The book provides an accessible overview of current work in the field of Monte Carlo methods, specifically sequential Monte Carlo techniques, for solving abstract counting and optimization problems.Written by authorities in the field, the book places emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration. Focusing on the concepts and application of Monte Carlo techniques, Fast Sequential Monte Carlo Methods for Counting and Optimization includes:Detailed algorithms needed to practice solving real-world problemsNumerous examples with Monte Carlo method produced solutions within the 1-2% limit of relative errorA new generic sequential importance sampling algorithm alongside extensive numerical resultsAn appendix focused on review material to provide additional background informationFast Sequential Monte Carlo Methods for Counting and Optimization is an excellent resource for engineers, computer scientists, mathematicians, statisticians, and readers interested in efficient simulation techniques. The book is also useful for upper-undergraduate and graduate-level courses on Monte Carlo methods.
Fast Software Encryption
by Carlos Cid Christian RechbergerThis book constitutes the thoroughly refereed post-conference proceedings of the 21st International Workshop on Fast Software Encryption, held in London, UK, March 3-5, 2014. The 31 revised full papers presented were carefully reviewed and selected from 99 initial submissions. The papers are organized in topical sections on designs; cryptanalysis; authenticated encryption; foundations and theory; stream ciphers; hash functions; advanced constructions.
Fast Software Encryption
by Gregor LeanderThis book constitutes the thoroughly refereed post-conference proceedings of the 22nd International Workshop on Fast Software Encryption, held in Istanbul, Turkey, March 8-11, 2015. The 28 revised full papers presented were carefully reviewed and selected from 71 initial submissions. The papers are organized in topical sections on block cipher cryptanalysis; understanding attacks; implementation issues; more block cipher cryptanalysis; cryptanalysis of authenticated encryption schemes; proofs; design; lightweight; cryptanalysis of hash functions and stream ciphers; and mass surveillance.
Fast Software Encryption
by Shiho MoriaiThis book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Fast Software Encryption, held in Singapore, March 11-13, 2013. The 30 revised full papers presented were carefully reviewed and selected from 97 initial submissions. The papers are organized in topical sections on block ciphers, lightweight block ciphers, tweakable block ciphers, stream ciphers, hash functions, message authentication codes, provable security, implementation aspects, lightweight authenticated encryption, automated cryptanalysis, Boolean functions.
Fast Software Encryption
by Thomas PeyrinThis book constitutes the thoroughly refereed post-conference proceedings of the 23rd International Conference on Fast Software Encryption, held in Bochum, Germany, in March 2016. The 29 revised full papers presented were carefully reviewed and selected from 86 initial submissions. The papers are organized in topical sections on operating modes; stream-cipher cryptanalysis; components; side-channels and implementations; automated tools for cryptanalysis; designs; block-cipher cryptanalysis; foundations and theory; and authenticated-encryption and hash function cryptanalysis.
The Fast-Track Guide to VXLAN BGP EVPN Fabrics: Implement Today’s Multi-Tenant Software-Defined Networks
by Rene CardonaMaster the day-to-day administration and maintenance procedures for existing VXLAN fabrics. In this book you’ll discuss common issues and troubleshooting steps to help you keep your environment in stable operation. The Fast-Track Guide to VXLAN BGP EVPN Fabrics is a guide for network engineers and architects who can’t spend too much time learning everything about VXLAN. It has been created with the end goal of providing you with a straightforward approach to understand, implement, administer, and maintain VXLAN BGP EVPN-based data center networks. Using this book, you will understand Virtual Extensible LAN (VXLAN) as a technology that combines network virtualization and service provider class network attributes to solve the performance and scalability limitations in a three-tier design. You will learn to combine multiple links and provide equal-cost multipathing to effortlessly scale speed requirements without being worried about potential loops. You will learn VXLAN BGP EVPN configuration procedures with graphical step-by-step examples. You will be introduced to foundational concepts in VXLAN without the need to go over hundreds of documentation pages. This book is a clear and precise guide to implementing a spine and leaf architecture running with VXLAN. It explains how to perform day-to-day maintenance and administration tasks after implementing your first VXLAN fabric. It also explains how to integrate external devices such as firewalls, routers, and load balancers to VXLAN; how to leverage your VXLAN fabric; and how to create multiple tenant networks to secure your critical infrastructure. What You Will Learn Discover the advantages of a VXLAN spine and leaf fabric over a traditional three-tier network designWork with the BGP L2VPN EVPN control plane VXLANExamine the purpose of underlay and overlay in VXLANUse multitenancy and tenant anycast gatewaysConnect your VXLAN fabric to external networks Who This Book Is For Senior network engineers, solutions architects, and data center engineers.
FastAPI: Modern Python Web Development
by Bill LubanovicFastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code.Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. This book also includes how-to guides that will get you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI.Through the course of this book, you will:Learn how to build web applications with FastAPIUnderstand the differences between FastAPI, Starlette, and pydanticLearn two features that set FastAPI apart: asynchronous functions and data type checking and validationExamine new features of Python 3.8+, especially type annotationsUnderstand the differences between sync and async PythonLearn how to connect with external APIs and services
Fastdata Processing with Spark
by Holden KarauThis book will be a basic, step-by-step tutorial, which will help readers take advantage of all that Spark has to offer.Fastdata Processing with Spark is for software developers who want to learn how to write distributed programs with Spark. It will help developers who have had problems that were too much to be dealt with on a single computer. No previous experience with distributed programming is necessary. This book assumes knowledge of either Java, Scala, or Python.
Faster Smarter Beginning Programming
by Jim BuyensNow you can write your own programs with Microsoft® Visual Basic® .NET--faster, smarter, and better. Dive in--this friendly, high-energy guide makes it easy to learn exactly what you need. Use the numbered steps, code listings, and expert tips to accelerate your programming productivity--and move on to doing the cool things you want to do! Learn basic concepts, syntax, and language elements Follow easy coding techniques to build your dexterity Write and run your first Visual Basic .NET program Use built-in functions and classes or create your own Design the user interface with Windows® Forms Program Web applications using Microsoft ASP.NET Access files and databases Debug and deploy your new programs
Faster Smarter Microsoft® Office System -- 2003 Edition
by Katherine MurrayNow you can do the things you do every day with Office--create reports, manage finances, send e-mail, and make a presentation--but do them faster, smarter, and better. Dive in! This friendly, focused guide shows the best ways to use the core features in your Office programs, so you spend more time doing and less time learning. Use the quick lists, numbered steps, and helpful examples to accelerate your productivity--and do the cool things you want to do! Discover how to: Get your e-mail, calendar, and work day under control Create professional-looking documents--from memos and invoices to complex reports Use spreadsheets and charts to analyze data and support decision making Produce and deliver a compelling presentation with great visuals and special effects Communicate and work together more effectively using enhanced collaboration features Quickly build a dynamic Web site with data-driven features Use XML to make your data go farther Share and reuse information among programs to simplify work and get better resultsLearn about Office the Faster Smarter way! 10-Second Summary--see what each chapter covers at a glance Fast Wrap-Up--review key points and takeaways from every chapter Real-World Examples--apply what you learn to real work, right now Aha! Tips--get insider tips and insights to fuel your productivity Top 10 Troubleshooting Solutions--find fast answers, right inside the cover!
FastLane: Managing Science in the Internet World (Johns Hopkins Studies in the History of Technology)
by Thomas J. Misa Jeffrey R. YostThe unique history and development of FastLane, the central nervous system of the National Science Foundation.Since 2000, the National Science Foundation has depended upon its pioneering FastLane e-government system to manage grant applications, peer reviews, and reporting. In this behind-the-scenes account Thomas J. Misa and Jeffrey R. Yost examine how powerful forces of science and computing came together to create this influential grant-management system, assessing its impact on cutting-edge scientific research.Why did the NSF create FastLane, and how did it anticipate the development of web-based e-commerce? What technical challenges did the glitch-prone early system present? Did the switch to electronic grant proposals disadvantage universities with fewer resources? And how did the scientific community help shape FastLane? Foregrounding the experience of computer users, the book draws on hundreds of interviews with scientific researchers, sponsored project administrators, NSF staff, and software designers, developers, and managers.
fastText Quick Start Guide: Get started with Facebook's library for text representation and classification
by Joydeep BhattacharjeePerform efficient fast text representation and classification with Facebook's fastText libraryKey FeaturesIntroduction to Facebook's fastText library for NLPPerform efficient word representations, sentence classification, vector representationBuild better, more scalable solutions for text representation and classificationBook DescriptionFacebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and gaining efficient data insights requires powerful NLP tools such as fastText. This book is your ideal introduction to fastText. You will learn how to create fastText models from the command line, without the need for complicated code. You will explore the algorithms that fastText is built on and how to use them for word representation and text classification. Next, you will use fastText in conjunction with other popular libraries and frameworks such as Keras, TensorFlow, and PyTorch. Finally, you will deploy fastText models to mobile devices. By the end of this book, you will have all the required knowledge to use fastText in your own applications at work or in projects.What you will learnCreate models using the default command line options in fastTextUnderstand the algorithms used in fastText to create word vectorsCombine command line text transformation capabilities and the fastText library to implement a training, validation, and prediction pipelineExplore word representation and sentence classification using fastTextUse Gensim and spaCy to load the vectors, transform, lemmatize, and perform other NLP tasks efficientlyDevelop a fastText NLP classifier using popular frameworks, such as Keras, Tensorflow, and PyTorchWho this book is forThis book is for data analysts, data scientists, and machine learning developers who want to perform efficient word representation and sentence classification using Facebook's fastText library. Basic knowledge of Python programming is required.