Research in Computer Science & Engineering
Best Research Topics In Computer Science on April 2024 Shopping Deals at Bestonio.com
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... [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... [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 ... [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.... [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 incl... [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... [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 geneti... [Read More]
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 fu... [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 relate... [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 f... [Read More]
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... [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 t... [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 ma... [Read More]
A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mindAll our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in ... [Read More]
The companion book to COURSERA®'s wildly popular massive open online course "Learning How to Learn"Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a new skill set, A Mind for Numbers offers the tools you need to get a better grasp of that intimidating material. En... [Read More]
This is the second edition of John Zelle's Python Programming, updated for Python 3. This book is designed to be used as the primary textbook in a college-level first course in computing. It takes a fairly traditional approach, emphasizing problem solving, design, and programming as the core skills of computer science. However, these ideas are illu... [Read More]
The papers in this volume were presented at TMRA 2007, the International Conference on Topic Maps Research and Applications, held October 11–12, 2007, in Leipzig, Germany. TMRA 2007 was the third conference in an annual series of international conferences dedicated to Topic Maps in science and industry. The motto of TMRA 2007 was “Scaling Topic... [Read More]
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Topic Map Research and Applications, held in October 2005. The 17 revised full papers and five revised short papers presented together with one invited lecture were carefully selected during two rounds of reviewing and improvement from more than 35... [Read More]
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