323 rezultatov
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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 € -
Reactive Programming with Angular and ngrx(2017) FARHI, ORENManage your Angular development with Reactive programming. Featuring a core application to explore and build, this book shows how to utilize ngrx/store as a state management, and ngrx/effects to define a better and more robust application architecture, wiVezava: Mehka86,61 € -
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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: Mehka129,40 € -
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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 € -
Agile Systems Engineering(2015) DOUGLASS, BRUCE POWEL, PH.D. (CHIEF EVANGELIST, IBM INTERNET OF THINGS, FAIRFAX, VA, USA)Vezava: Mehka90,22 € -
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: Trda86,61 € -
Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist(2017) THOMAS MAILUNDVezava: Trda46,07 € -
Machine Learning and Data Science Blueprints for Finance(2020) TATSAT, HARIOM,PURI, SAHIL,LOOKABAUGH, BRADOver the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry.Vezava: Mehka82,59 € -
Programming Android with Kotlin(2021) LAURENCE, PIERRE-OLIVIER,HINCHMAN-DOMINGUEZ, AMANDA,MEIKE, G BLAKE,DUNN, MIKEWith this practical book, Android developers will learn how to make the transition from Java to Kotlin, including how Kotlin provides a true advantage for gaining control over asynchronous computationsVezava: Mehka68,39 € -
Artificial Intelligence in Finance(2020) HILPISCH, YVESWith this practical book, practitioners, students, and academics in both finance and data science will learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.Vezava: Mehka92,91 €
