We were halfway in when the Japanese machine guns got their range. Bullets slapped the water and whined as they ricocheted off the barge. Some of us ducked; some of us fell to the floor; and all of us prayed.” Here, in heart-stopping human detail, are twenty-one personal accounts told by the men themselves. They are the stories of men who lived in hell and lived to tell of it. There is the story of Sgt. Albert Schmid who was awarded the Navy Cross for his single-handed destruction of a flanking attack while on Guadalcanal. The account of Private Nicolli who was literally blown into the air like a matchstick and then, with a piece of shrapnel in his chest, managed to help a wounded comrade to the rear. “The luckiest man in the Solomons,” Sgt. Koziar, tells of how he had his tonsils removed with the assistance of a Japanese sniper’s bullet. These are just three of the twenty-one fascinating stories that were told to Gerold Frank and James Horan just months after these marines had returned from active duty to recover from the conflict in the Pacific. The valor of these marines is astounding, as twenty-one-year-old Corporal Conroy states in the book, “I don’t suppose I shall ever be able to sum up all the bravery, the guts, the genuine, honest courage displayed by the boys out in Guadalcanal. They were afraid, and yet they took it. They had what it takes . . .” The battles of Gavutu-Tanambogo, Tulagi, Tenaru, Matanikau and Guadalcanal are all covered through these accounts which take the reader right to the epicenter of the Pacific conflict. “telling of living conditions on the beaches and in the jungles where they fought, offering an insider’s view of foxholes, food, snipers, mosquitos, boondocks, shrapnel, their injuries, and their pain.” Great Stories of World War II Gerold Frank and James Horan were professional authors who wrote down the stories of these marines shortly after they had returned from active duty. The War in the South Pacific was first published in 1943 as Out in the Boondocks. Frank went on to become a prominent ghostwriter and passed away in 1998. Horan, author of more than forty books, died in 1981.

    Using motors, gears, pneumatics, pulleys, linkages, and more, you can design LEGO models that really move.The Unofficial LEGO Technic Builder's Guide is filled with building tips for creating strong yet elegant machines and mechanisms with the Technic system. Author Pawel "Sairel" Kmiec will teach you the foundations of LEGO Technic building, from simple machines to advanced mechanics, even explaining how to create realistic to-scale models. Sariel, a world-renowned LEGO Technic expert, offers unique insight into mechanical principles like torque, power translation, and gear ratios, all using Technic bricks. You'll learn how to:Create sturdy connections that can withstand serious stressRe-create specialized LEGO pieces like casings and u-joints, and build solutions like Schmidt and Oldham couplings, when no standard piece will doBuild custom differentials, suspensions, transmissions, and steering systemsPick the right motor for the job—and transform its properties to suit your needsCombine studfull and studless building styles for a stunning lookCreate remote-controlled vehicles, lighting systems, motorized compressors, and pneumatic enginesThis beautifully illustrated, full-color book will inspire you with ideas for building amazing machines like tanks with suspended treads, supercars, cranes, bulldozers, and much more. Your Technic adventure starts now!

    And how to move all of this data becomes nearly as important as the data itself. If you� re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds.Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you� ll learn Kafka� s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer.Understand publish-subscribe messaging and how it fits in the big data ecosystem.Explore Kafka producers and consumers for writing and reading messagesUnderstand Kafka patterns and use-case requirements to ensure reliable data deliveryGet best practices for building data pipelines and applications with KafkaManage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasksLearn the most critical metrics among Kafka� s operational measurementsExplore how Kafka� s stream delivery capabilities make it a perfect source for stream processing systems

    I took a 2 week introduction to the fundamentals of fine woodworking at Boston’s North Bennet Street School. From there, I spent 3 years working at woodworking specialty retail stores, went to North Bennet full time for 2 more years, and set up shop as a custom furniture maker, which lasted for just over 7 years. Woodworking, on many levels, is an ongoing process of reduction and refinement: Big trees into big boards, into smaller boards, into smaller pieces. Grinding cutting tools, and then honing, and polishing the edges. Rough shaping, scraping and filing of wood, followed by coarse sanding, and on into finer grits. And, the progression of learning the rough basics, and the ongoing refining what you know, and what you can do. The purpose of this book is to provide a coarse introduction to getting into the hobby. I assume that you’ll seek out other sources of information as the need arises. Woodworking as a craft spans thousands of years, and I couldn’t hope to cover all that ground. Books have been published on the topic for centuries. Taunton Press started printing Fine Wood Working 40 years ago, and many other magazines have since come and gone, or showed up and stayed. And the internet, bless its tainted soul, has been ranting and raving at an exponential rate about just about anything for over 20 years. Information overload is a real risk, especially on the internet, and I can’t stress enough that it’s something to be careful of. But in the end, any real learning that occurs will happen at the bench, as you feel for yourself how your tools are working. You’ll understand more as you see how the project comes together. You’ll get better at visualizing objects, and processes, in three dimensions, as you make the things with your own hands. The printed word can only convey so much, and it doesn’t hold a candle to what your own two hands will tell you. Here Is A Preview Of What You'll Learn... Tools and Getting Set Up Materials Working With Wood Sanding and Finishing Hand Held Power Tools Joinery Design Suggested First Projects BONUS OFFER 16,000 Plans and Projects Much, much more! Take Action and Download Your Copy Today! ACCESS the #1 Woodworking Resource Online With Purchase Archive of 16,000 Woodworking Plans and Projects With Step-by-Step Instructions

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to:Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

    This self-made billionaire is far more than a talking head, however: she has leveraged her public profile to make a $3 billion fortune. She is the richest African American, and greatest black philanthropist, in history. Oprah has honorary doctorates from both Duke and Harvard Universities, and in 2013 President Barack Obama awarded her the Presidential Medal of Freedom. Her rise from childhood poverty in rural Mississippi, and her teenage years as a single mother in inner city Milwaukee, having become pregnant aged just 14, is nothing short of a miracle. Even in fairytales, heroines don’t triumph over adversity like this. Additionally You Get 2 Bonus Ebooks - 69 Ways to Make Money From Home - Bitcoins Beginner’s Guide

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    I hope it helps you too!

    Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers will find details for analyzing large datasets, and administrators will learn how to set up and run Hadoop clusters. Complete with case studies that illustrate how Hadoop solves specific problems, this book helps you:Use the Hadoop Distributed File System (HDFS) for storing large datasets, and run distributed computations over those datasets using MapReduce Become familiar with Hadoop's data and I/O building blocks for compression, data integrity, serialization, and persistence Discover common pitfalls and advanced features for writing real-world MapReduce programs Design, build, and administer a dedicated Hadoop cluster, or run Hadoop in the cloud Use Pig, a high-level query language for large-scale data processing Take advantage of HBase, Hadoop's database for structured and semi-structured data Learn ZooKeeper, a toolkit of coordination primitives for building distributed systems If you have lots of data -- whether it's gigabytes or petabytes -- Hadoop is the perfect solution. Hadoop: The Definitive Guide is the most thorough book available on the subject. "Now you have the opportunity to learn about Hadoop from a master-not only of the technology, but also of common sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!

    Book by Stewart Nordensson, Lydia Kelley

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    Multi-core processors and the increasing demand for maximum performance and scalability in mission-critical applications have renewed interest in functional languages like Erlang that are designed to handle concurrent programming. Erlang, and the OTP platform, make it possible to deliver more robust applications that satisfy rigorous uptime and performance requirements.Erlang and OTP in Action teaches you to apply Erlang's message passing model for concurrent programming--a completely different way of tackling the problem of parallel programming from the more common multi-threaded approach. This book walks you through the practical considerations and steps of building systems in Erlang and integrating them with real-world C/C++, Java, and .NET applications. Unlike other books on the market, Erlang and OTP in Action offers a comprehensive view of how concurrency relates to SOA and web technologies.This hands-on guide is perfect for readers just learning Erlang or for those who want to apply their theoretical knowledge of this powerful language. You'll delve into the Erlang language and OTP runtime by building several progressively more interesting real-world distributed applications. Once you are competent in the fundamentals of Erlang, the book takes you on a deep dive into the process of designing complex software systems in Erlang. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

    Author and burger expert George Motz covers traditional grilling techniques as well as how to smoke, steam, poach, and deep-fry burgers based on signature recipes from around the country. Each chapter is dedicated to a specific regional burger, from the tortilla burger of New Mexico to the classic New York–style pub burger, and from the fried onion burger of Oklahoma to Hawaii’s Loco Moco. Motz provides expert instruction, tantalizing recipes, and vibrant color photography to help you create unique variations on America’s favorite dish in your own home. Recipes feature regional burgers from: California, Connecticut, Florida, Hawaii, Iowa, Kansas, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, New Jersey, New Mexico, New York, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Utah, and Wisconsin.