254 rezultatov
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Data Science on the Google Cloud Platform(2022) LAKSHMANAN, VALLIAPPAThis hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. Throughout this updated second edition, you'll work through a sample business decision by employing a variety of dataVezava: Mehka82,59 € -
Efficient MySQL Performance(2021) NICHTER, DANIELThis practical book bridges the gap by teaching software engineers mid-level MySQL knowledge beyond the fundamentals, but well shy of deep-level internals required by database administrators (DBAs).Vezava: Mehka68,39 € -
Mastering Python for Bioinformatics(2021) YOUENS-CLARK, KENThis practical guide shows postdoc bioinformatics professionals and students how to exploit the best parts of Python to solve problems in biology while creating documented, tested, reproducible software.Vezava: Mehka103,24 € -
CockroachDB: The Definitive Guide(2022) HARRISON, GUY,SELDESS, JESSE,DARNELL, BENIn this hands-on guide, software developers, architects, and DevOps/SRE teams will learn how to use CockroachDB to create applications that scale elastically and provide seamless delivery for end users while remaining indestructible.Vezava: Mehka115,32 € -
Statistics for Big Data For Dummies(2015) ANDERSON, ALAN (MIDDLESEX BUSINESS SCHOOL; FORDHAM UNIVERSITY; NEW YORK UNIVERSITY)Does the subject of data analysis make you dizzy? This book features introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programVezava: Mehka23,82 € -
Cryptography and Network Security: Principles and Practice, Global Ed(2022) STALLINGS, WILLIAMVezava: Mehka137,92 € -
Deep Learning for Coders with fastai and PyTorch(2020) GUGGER, SYLVAIN,HOWARD, JEREMYAuthors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algVezava: Mehka82,59 € -
Seven Databases in Seven Weeks 2e(2018) PERKINS, LUC,REDMOND, ERIC,WILSON, JIMVezava: Mehka73,19 € -
Advancing into Analytics(2021) MOUNT, GEORGEWith this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you'll be able to conduct exploratory data analysis and hypothesis testing using a programming languageVezava: Mehka68,39 € -
Data Science at the Command Line(2021) JANSSENS, JEROENThis thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, andVezava: Mehka68,39 € -
Machine Learning for Financial Risk Management with Python(2021) KARASAN, ABDULLAHFinancial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, and risk analysts will explore Python-based machine learning and deep learning modelsVezava: Mehka92,91 € -
Data Algorithms with Spark(2022) PARSIAN, MAHMOUDWith this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algoritVezava: Mehka82,59 € -
Practical Synthetic Data Generation(2020) EL EMAM, KHALED,MOSQUERA, LUCY,HOPTROFF, RICHARDBuilding and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data so you can performVezava: Mehka68,39 €
