It’s the revolutionary science study guide just for middle school students from the brains behind Brain Quest. Everything You Need to Ace Science . . . takes readers from scientific investigation and the engineering design process to the Periodic Table; forces and motion; forms of energy; outer space and the solar system; to earth sciences, biology, body systems, ecology, and more. The BIG FAT NOTEBOOK™ series is built on a simple and irresistible conceit—borrowing the notes from the smartest kid in class. There are five books in all, and each is the only book you need for each ma... [Read More]
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential... [Read More]
I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer. Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book. Learn how to uncover the hints and hidden details in a question, discover how to break down a proble... [Read More]
Take great care to buy the latest version: bit.ly/buyingEPIEPI includes a framework for writing your solutions, as well as testing them against a comprehensive set of test-cases. Head over to judge.elementsofprogramminginterviews.com for details.Before you buy this book, please first head over to our sample page - elementsofprogramminginterviews.com/sampleThe sampler should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style.Since different candidates have different time constraints, E... [Read More]
*Add the convenience of accessing this book anytime, anywhere on your personal device with the eTextbook version for only $59 at ppi2pass.com/etextbook-program.*Michael R. Lindeburg PE’s FE Electrical and Computer Review Manual offers complete review for the FE Electrical and Computer exam. Features of FE Electrical and Computer Review include:complete coverage of all exam knowledge areasequations, figures, and tables of the NCEES FE Reference Handbook to familiarize you with the reference you’ll have on exam dayconcise explanations supported by exam-like example problems, with step-... [Read More]
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of t... [Read More]
This book presents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. It introduces advanced methods in statistics, including how to choose and work with statistical packages. Specific topics of interest include microarray analysis, missing data techniques, power and sample size, statistical methods in genetics. The book is an essential resource for researchers at every level of their career.
Imagine a study guide actually designed for teachers! Because we know you’ve got a busy life, we’ve developed a study guide that isn’t like other certification materials out there. With Cirrus Test Prep’s unofficial FTCE Social Science 6-12 Study Guide: Test Prep and Practice Questions for the FTCE Social Science Exam you get a swift but full review of everything tested on your certification exam. FREE online resources are also included with your study guide! Imagine having FREE practice questions, digital flash cards, study “cheat” sheets, and 35 test tips available anytime, anywh... [Read More]
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types o... [Read More]
The market-leading textbook for the course, Winston's OPERATIONS RESEARCH owes much of its success to its practical orientation and consistent emphasis on model formulation and model building. It moves beyond a mere study of algorithms without sacrificing the rigor that faculty desire. As in every edition, Winston reinforces the book's successful features and coverage with the most recent developments in the field. The Student Suite CD-ROM, which now accompanies every new copy of the text, contains the latest versions of commercial software for optimization, simulation, and decision analysis.
Statistical methods are a key part of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick r... [Read More]
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies fo... [Read More]
This book provides a guide to the elements of simulation in statistics, which will include developments and which may be used either as a teaching text or as a source of reference. It is widely used for teaching statistics in schools.
This volume presents the 36 full refereed papers selected from the presentations at the First European Workshop on Case-Based Reasoning, held at Kaiserslautern, Germany in November 1993.Case-based reasoning (CBR) has recently attracted much interest among AI researchers: it supports knowledge acquisition and problem solving, and it is related to machine learning, analogical reasoning, cognitive modeling, similarity, and information retrieval. EWCBR is now established as the prime European forum for CBR research. This volume reflects the importance of this dynamic area of research through essen... [Read More]
Scaling Topic Maps: Third International Conference on Topic Map Research and Applications, Tmra 2007 Leipzig, Germany, October 11-12,
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