Download or read book Spark from the Deep written by William J. Turkel and published by Johns Hopkins University Press+ORM. This book was released on 2013-07-17 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: How encounters with strongly electric fish informed our grasp of electricity. Spark from the Deep tells the story of how human beings came to understand and use electricity by studying the evolved mechanisms of strongly electric fish. These animals can shock potential prey or would-be predators with high-powered electrical discharges. William J. Turkel asks completely fresh questions about the evolutionary, environmental, and historical aspects of people’s interest in electric fish. Stimulated by painful encounters with electric catfish, torpedos, and electric eels, people learned to harness the power of electric shock for medical therapies and eventually developed technologies to store, transmit, and control electricity. Now we look to these fish as an inspiration for engineering new sensors, computer interfaces, autonomous undersea robots, and energy-efficient batteries. Praise for Spark from the Deep “This beautifully written and exhaustively researched book traces the links between experiments on strongly electric fish and scientific understanding of electricity . . . Turkel’s book is a joy to read; it will entertain and educate scientists, historians, and anyone with an interest in the natural world.” —Choice “Turkel’s book convincingly reminds us that all the laptops and gadgets we surround ourselves with are remixes; altered versions of strongly electric fish. For that strange and insightful observation, this book ought to be widely read and enjoyed.” —Chris Conway, Endeavour “[I]t is refreshing to explore a book which takes seriously ancient encounters with manifestations of natural electricity as precursors to more recent innovations.” —James F. Stark, The British Journal for the History of Science

Download or read book Like a Spark From Fire Break Free From the Past Shine Your Brilliance and Become Your True Self written by Debra Berndt Maldonado and published by Creative Mind Media. This book was released on 2022-02-06 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inspired by the psychology of Carl Jung and Eastern spirituality, empowers women to let go of their past, express their brilliance and become their True Self.

Download or read book Deep Creativity written by Deborah Anne Quibell and published by Shambhala Publications. This book was released on 2019-03-26 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: A deeply intimate exploration of the "7 Ways" to creativity led by three authors whose collaboration provides meditations on the creative process as well as practical and reflective exercises. Reignite your creative spark with accessible meditations and practices developed by three experts on creativity and collaboration across three generations. Whether you’re a filmmaker, writer, musician, artist, graphic designer, dabbler, or doodler, all creative people face the challenges of myriad distractions and pressure to produce. Devoting space for the creative spark has become increasingly difficult. Deep Creativity is a call for making that space and an invitation to intentionally and introspectively engage with the creative life through seven time-tested pathways, available to you right where you are. The authors’ novel approach includes fifteen principles of creativity that not only inspire but also set you up for a lifetime of self-expression. This highly resourceful book offers practical guidance as well as deep reflection on the creative process.

Download or read book Between the Spark and the Burn written by April Genevieve Tucholke and published by Penguin. This book was released on 2014 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This sequel to Tucholke's acclaimed debut "Between the Devil and the Deep Blue Sea" blends gothic romance, horror, and an eerie wintertime setting.

Download or read book Sparked written by Jonathan Fields and published by HarperCollins Leadership. This book was released on 2021-09-21 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover your unique imprint for work that makes you come alive, fills you with meaning, joy, purpose, and possibility, then spend the rest of your life doing it. We’re all born with a certain “imprint” for work that makes us come alive. This is your "Sparketype®," your DNA-level driver of work that lets you know, deep down, you’re doing what you’re here to do. Work that motivates you, fills you with purpose and, fully-expressed in a healthy way, becomes a main-line to meaning, flow, performance, and joy. Put another way, work that “sparks” you. Sparked draws upon years of research, experimentation, more than 25-million data-points generated by over half-a-million people, and hundreds of deep-dive conversations with luminaries from science to art to industry and wellbeing. Award-winning author, serial wellness-industry founder, and host of the top-ranked Good Life Project®, Jonathan Fields, and his team at Spark Endeavors, developed the Sparketype imprints and methodology that is the basis of this book. In this book, Fields and his team will help you: Discover what sparks you, what drains you, where you stumble and come alive, so you can reclaim a sense of direction, control, and purpose; Understand the “real” reasons certain experiences, jobs, and roles leave you empty and know how to make things better, without having to endure big disruptive changes; Learn from real-world, relatable stories, case-studies, and data-driven insights; Identify the action steps to begin immediately transforming the way you work and live. Sparked takes you deep into the world of the Sparketypes, revealing an entirely new depth of insights about what makes you come alive in work life, along with what empties you out and trips you up, so you can avoid those life-drains. You’ll discover tons of case studies, stories, and real-world applications, creating a comprehensive guide to help you discover what you are meant to do and how to get started.

Download or read book Hands On Deep Learning with Apache Spark written by Guglielmo Iozzia and published by Packt Publishing Ltd. This book was released on 2019-01-31 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speed up the design and implementation of deep learning solutions using Apache Spark Key FeaturesExplore the world of distributed deep learning with Apache SparkTrain neural networks with deep learning libraries such as BigDL and TensorFlowDevelop Spark deep learning applications to intelligently handle large and complex datasetsBook Description Deep learning is a subset of machine learning where datasets with several layers of complexity can be processed. Hands-On Deep Learning with Apache Spark addresses the sheer complexity of technical and analytical parts and the speed at which deep learning solutions can be implemented on Apache Spark. The book starts with the fundamentals of Apache Spark and deep learning. You will set up Spark for deep learning, learn principles of distributed modeling, and understand different types of neural nets. You will then implement deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) on Spark. As you progress through the book, you will gain hands-on experience of what it takes to understand the complex datasets you are dealing with. During the course of this book, you will use popular deep learning frameworks, such as TensorFlow, Deeplearning4j, and Keras to train your distributed models. By the end of this book, you'll have gained experience with the implementation of your models on a variety of use cases. What you will learnUnderstand the basics of deep learningSet up Apache Spark for deep learningUnderstand the principles of distribution modeling and different types of neural networksObtain an understanding of deep learning algorithmsDiscover textual analysis and deep learning with SparkUse popular deep learning frameworks, such as Deeplearning4j, TensorFlow, and KerasExplore popular deep learning algorithms Who this book is for If you are a Scala developer, data scientist, or data analyst who wants to learn how to use Spark for implementing efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some exposure to Spark will be helpful.

Download or read book Apache Spark Deep Learning Cookbook written by Ahmed Sherif and published by Packt Publishing Ltd. This book was released on 2018-07-13 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: A solution-based guide to put your deep learning models into production with the power of Apache Spark Key Features Discover practical recipes for distributed deep learning with Apache Spark Learn to use libraries such as Keras and TensorFlow Solve problems in order to train your deep learning models on Apache Spark Book Description With deep learning gaining rapid mainstream adoption in modern-day industries, organizations are looking for ways to unite popular big data tools with highly efficient deep learning libraries. As a result, this will help deep learning models train with higher efficiency and speed. With the help of the Apache Spark Deep Learning Cookbook, you’ll work through specific recipes to generate outcomes for deep learning algorithms, without getting bogged down in theory. From setting up Apache Spark for deep learning to implementing types of neural net, this book tackles both common and not so common problems to perform deep learning on a distributed environment. In addition to this, you’ll get access to deep learning code within Spark that can be reused to answer similar problems or tweaked to answer slightly different problems. You will also learn how to stream and cluster your data with Spark. Once you have got to grips with the basics, you’ll explore how to implement and deploy deep learning models, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in Spark, using popular libraries such as TensorFlow and Keras. By the end of the book, you'll have the expertise to train and deploy efficient deep learning models on Apache Spark. What you will learn Set up a fully functional Spark environment Understand practical machine learning and deep learning concepts Apply built-in machine learning libraries within Spark Explore libraries that are compatible with TensorFlow and Keras Explore NLP models such as Word2vec and TF-IDF on Spark Organize dataframes for deep learning evaluation Apply testing and training modeling to ensure accuracy Access readily available code that may be reusable Who this book is for If you’re looking for a practical and highly useful resource for implementing efficiently distributed deep learning models with Apache Spark, then the Apache Spark Deep Learning Cookbook is for you. Knowledge of the core machine learning concepts and a basic understanding of the Apache Spark framework is required to get the best out of this book. Additionally, some programming knowledge in Python is a plus.

Download or read book Between the Devil and the Deep Blue Sea written by April Genevieve Tucholke and published by Penguin. This book was released on 2013 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Violet is in love with River, a mysterious 17-year-old stranger renting the guest house behind the rotting seaside mansion where Violet lives. But when eerie, grim events begin to happen, Violet recalls her grandmother's frequent warnings about the devil and wonders if River is evil.

Download or read book Next Generation Machine Learning with Spark written by Butch Quinto and published by Apress. This book was released on 2020-02-22 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications. The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry. Next-Generation Machine Learning with Spark provides a gentle introduction to Spark and Spark MLlib and advances to more powerful, third-party machine learning algorithms and libraries beyond what is available in the standard Spark MLlib library. By the end of this book, you will be able to apply your knowledge to real-world use cases through dozens of practical examples and insightful explanations. What You Will Learn Be introduced to machine learning, Spark, and Spark MLlib 2.4.xAchieve lightning-fast gradient boosting on Spark with the XGBoost4J-Spark and LightGBM librariesDetect anomalies with the Isolation Forest algorithm for SparkUse the Spark NLP and Stanford CoreNLP libraries that support multiple languagesOptimize your ML workload with the Alluxio in-memory data accelerator for SparkUse GraphX and GraphFrames for Graph AnalysisPerform image recognition using convolutional neural networksUtilize the Keras framework and distributed deep learning libraries with Spark Who This Book Is For Data scientists and machine learning engineers who want to take their knowledge to the next level and use Spark and more powerful, next-generation algorithms and libraries beyond what is available in the standard Spark MLlib library; also serves as a primer for aspiring data scientists and engineers who need an introduction to machine learning, Spark, and Spark MLlib.

Download or read book Spark The Definitive Guide written by Bill Chambers and published by "O'Reilly Media, Inc.". This book was released on 2018-02-08 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

Download or read book Spark written by Esty Raskin and published by Inside>out Press. This book was released on 2017-02 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spark is a charming little guy with a big important message: feelings come from within. Spark invites children, teens, and adults to look inside, question their assumptions about how feelings work, and find a comforting new place to identify as the source of those feelings - their own minds. Spark: A Book About Thought is a perfect introductory spiritual metaphor for any setting - homes, classrooms, or a therapist's office. See the accompanying Spark Companion: Discussion Guide and Coloring Book to go even deeper.

Download or read book Spark written by Ilya Ganelin and published by John Wiley & Sons. This book was released on 2016-03-28 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Production-targeted Spark guidance with real-world use cases Spark: Big Data Cluster Computing in Production goes beyond general Spark overviews to provide targeted guidance toward using lightning-fast big-data clustering in production. Written by an expert team well-known in the big data community, this book walks you through the challenges in moving from proof-of-concept or demo Spark applications to live Spark in production. Real use cases provide deep insight into common problems, limitations, challenges, and opportunities, while expert tips and tricks help you get the most out of Spark performance. Coverage includes Spark SQL, Tachyon, Kerberos, ML Lib, YARN, and Mesos, with clear, actionable guidance on resource scheduling, db connectors, streaming, security, and much more. Spark has become the tool of choice for many Big Data problems, with more active contributors than any other Apache Software project. General introductory books abound, but this book is the first to provide deep insight and real-world advice on using Spark in production. Specific guidance, expert tips, and invaluable foresight make this guide an incredibly useful resource for real production settings. Review Spark hardware requirements and estimate cluster size Gain insight from real-world production use cases Tighten security, schedule resources, and fine-tune performance Overcome common problems encountered using Spark in production Spark works with other big data tools including MapReduce and Hadoop, and uses languages you already know like Java, Scala, Python, and R. Lightning speed makes Spark too good to pass up, but understanding limitations and challenges in advance goes a long way toward easing actual production implementation. Spark: Big Data Cluster Computing in Production tells you everything you need to know, with real-world production insight and expert guidance, tips, and tricks.

Download or read book Learning Spark SQL written by Aurobindo Sarkar and published by Packt Publishing Ltd. This book was released on 2017-09-07 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API About This Book Learn about the design and implementation of streaming applications, machine learning pipelines, deep learning, and large-scale graph processing applications using Spark SQL APIs and Scala. Learn data exploration, data munging, and how to process structured and semi-structured data using real-world datasets and gain hands-on exposure to the issues and challenges of working with noisy and "dirty" real-world data. Understand design considerations for scalability and performance in web-scale Spark application architectures. Who This Book Is For If you are a developer, engineer, or an architect and want to learn how to use Apache Spark in a web-scale project, then this is the book for you. It is assumed that you have prior knowledge of SQL querying. A basic programming knowledge with Scala, Java, R, or Python is all you need to get started with this book. What You Will Learn Familiarize yourself with Spark SQL programming, including working with DataFrame/Dataset API and SQL Perform a series of hands-on exercises with different types of data sources, including CSV, JSON, Avro, MySQL, and MongoDB Perform data quality checks, data visualization, and basic statistical analysis tasks Perform data munging tasks on publically available datasets Learn how to use Spark SQL and Apache Kafka to build streaming applications Learn key performance-tuning tips and tricks in Spark SQL applications Learn key architectural components and patterns in large-scale Spark SQL applications In Detail In the past year, Apache Spark has been increasingly adopted for the development of distributed applications. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Hence, understanding the design and implementation best practices before you start your project will help you avoid these problems. This book gives an insight into the engineering practices used to design and build real-world, Spark-based applications. The book's hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL. It starts by familiarizing you with data exploration and data munging tasks using Spark SQL and Scala. Extensive code examples will help you understand the methods used to implement typical use-cases for various types of applications. You will get a walkthrough of the key concepts and terms that are common to streaming, machine learning, and graph applications. You will also learn key performance-tuning details including Cost Based Optimization (Spark 2.2) in Spark SQL applications. Finally, you will move on to learning how such systems are architected and deployed for a successful delivery of your project. Style and approach This book is a hands-on guide to designing, building, and deploying Spark SQL-centric production applications at scale.

Download or read book Spark written by Patricia Leavy and published by Guilford Publications. This book was released on 2019-03 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professor Peyton Wilde has an enviable life teaching sociology at an idyllic liberal arts college--yet she is troubled by a sense of fading inspiration. One day an invitation arrives. Peyton has been selected to attend a luxurious all-expense-paid seminar in Iceland, where participants, billed as some of the greatest thinkers in the world, will be charged with answering one perplexing question. Meeting her diverse teammates--two neuroscientists, a philosopher, a dance teacher, a collage artist, and a farmer--Peyton wonders what she could ever have to contribute. The ensuing journey of discovery will transform the characters' work, their biases, and themselves. This suspenseful novel shows that the answers you seek can be found in the most unlikely places. It can be read for pleasure, is a great choice for book clubs, and can be used as unique and inspiring reading in qualitative research and other courses in education, sociology, social work, psychology, and communication.

Download or read book Mastering Apache Spark written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Potential of Distributed Data Processing with Apache Spark Are you prepared to venture into the realm of distributed data processing and analytics with Apache Spark? "Mastering Apache Spark" is your comprehensive guide to unlocking the full potential of this powerful framework for big data processing. Whether you're a data engineer seeking to optimize data pipelines or a business analyst aiming to extract insights from massive datasets, this book equips you with the knowledge and tools to master the art of Spark-based data processing. Key Features: 1. Deep Dive into Apache Spark: Immerse yourself in the core principles of Apache Spark, comprehending its architecture, components, and versatile functionalities. Construct a robust foundation that empowers you to manage big data with precision. 2. Installation and Configuration: Master the art of installing and configuring Apache Spark across diverse platforms. Learn about cluster setup, resource allocation, and configuration tuning for optimal performance. 3. Spark Core and RDDs: Uncover the core of Spark—Resilient Distributed Datasets (RDDs). Explore the functional programming paradigm and leverage RDDs for efficient and fault-tolerant data processing. 4. Structured Data Processing with Spark SQL: Delve into Spark SQL for querying structured data with ease. Learn how to execute SQL queries, perform data manipulations, and tap into the power of DataFrames. 5. Streamlining Data Processing with Spark Streaming: Discover the power of real-time data processing with Spark Streaming. Learn how to handle continuous data streams and perform near-real-time analytics. 6. Machine Learning with MLlib: Master Spark's machine learning library, MLlib. Dive into algorithms for classification, regression, clustering, and recommendation, enabling you to develop sophisticated data-driven models. 7. Graph Processing with GraphX: Embark on a journey through graph processing with Spark's GraphX. Learn how to analyze and visualize graph data to glean insights from complex relationships. 8. Data Processing with Spark Structured Streaming: Explore the world of structured streaming in Spark. Learn how to process and analyze data streams with the declarative power of DataFrames. 9. Spark Ecosystem and Integrations: Navigate Spark's rich ecosystem of libraries and integrations. From data ingestion with Apache Kafka to interactive analytics with Apache Zeppelin, explore tools that enhance Spark's capabilities. 10. Real-World Applications: Gain insights into real-world use cases of Apache Spark across industries. From fraud detection to sentiment analysis, discover how organizations leverage Spark for data-driven innovation. Who This Book Is For: "Mastering Apache Spark" is a must-have resource for data engineers, analysts, and IT professionals poised to excel in the world of distributed data processing using Spark. Whether you're new to Spark or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of this transformative framework.

Download or read book Quest for the Spark written by Tom Sniegoski and published by Scholastic Inc.. This book was released on 2011 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the evil Nacht spreads his darkness across the valley, Tom and his friends, the Bone family, desperately try to find the Spark that will heal the Dreaming and save the world.

Download or read book Mastering Spark with R written by Javier Luraschi and published by O'Reilly Media. This book was released on 2019-10-07 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: If 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 R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions