297 rezultatov
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Object-Oriented Systems Analysis and Design Using UML(2010) BENNETT, SIMON,FARMER, RAY,MCROBB, STEVEProvides a practical framework for development that uses the major techniques from UML 2.2. This book follows an iterative and incremental approach based on the industry-standard Unified Process, placing systems analysis and design in the context of the wVezava: Mehka104,99 € -
Make: AVR Programming: Learning to Write Software for Hardware(2014) ELLIOT WILLIAMSVezava: Mehka50,46 € -
Why Programs Fail(2009) ZELLER, ANDREAS (SAARLAND UNIVERSITY, SAARBRUECKEN, GERMANY)With chapters on Verifying Code, Predicting Errors, and Preventing Errors, this title explains tools such as FindBUGS and AGITAR, highlights techniques from integrated environments like Jazz.net, and includes demos with ESC/Java and Spec#, Eclipse and MozVezava: Mehka83,66 € -
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Machine Learning Pocket Reference(2019) HARRISON, MATTWith detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient reVezava: Mehka33,63 € -
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Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition(2021) DEITEL, PAULVezava: Mehka127,15 € -
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Practical R for Mass Communication and Journalism(2018) MACHLIS, SHARONPeople working in the media deal with data constantly. Journalists who are interested in improving their data skills will find this book useful. The book will concentrate on teaching R and will not go into statistical details. Data sets and projects choseVezava: Mehka97,99 € -
Humanities Data Analysis(2021) KARSDORP, FOLGERT,KESTEMONT, MIKE,RIDDELL, ALLENA practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patternVezava: Trda74,37 € -
Numerical Methods in Finance with C++(2012) CAPINSKI, MACIEJ J. (AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY, KRAKOW),ZASTAWNIAK, TOMASZ (UNIVERSITY OF YORK)This book focuses on solving and implementing the increasingly complex numerical problems that arise in finance. Readers will learn the numerical techniques and programming skills necessary for any aspiring quant developer. No programming background is reVezava: Mehka72,23 € -
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MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence(2017) KIM PHILVezava: Trda84,21 € -
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist(2017) THOMAS MAILUNDVezava: Trda46,07 €










