287 rezultatov
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Cryptography and Network Security: Principles and Practice, Global Ed(2022) STALLINGS, WILLIAMVezava: Mehka144,57 € -
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 € -
Practical Statistics for Data Scientists(2020) BRUCE, PETER,BRUCE, ANDREW,GEDECK, PETERCourses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tellVezava: Mehka82,59 € -
Programming PyTorch for Deep Learning(2019) POINTER, IANTake the next steps toward mastering deep learning, the machine learning method that’s transforming the world around us by the second. In this practical book, you’ll get up to speed on key ideas using Facebook’s open source PyTorch framework and gain theVezava: Mehka58,07 € -
Deep Learning from Scratch(2019) WEIDMAN, SETHWith the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with maVezava: Mehka68,39 € -
Database Internals(2019) PETROV, ALEXWith this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code oVezava: Mehka68,39 € -
Kafka - The Definitive Guide(2021) SHAPIRA, GWEN,PALINO, TODD,SIVARAM, RAJINIWith this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, anVezava: Mehka82,59 € -
Feature Engineering for Machine Learning(2018) ZHENG, ALICEFeature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into fVezava: Mehka68,39 € -
Enterprise Big Data Lake(2019) GORELIK, ALEXThe data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more thanVezava: Mehka82,59 € -
Database Reliability Engineering(2017) CAMPBELL, LAINE,MAJORS, CHARITYThe infrastructure-as-code revolution in IT is also affecting database administration. With this practical book, developers, system administrators, and junior to mid-level DBAs will learn how the modern practice of site reliability engineering applies toVezava: Mehka56,06 € -
Oracle Database Transactions and Locking Revealed(2020) KUHN, DARL,KYTE, THOMASVezava: Mehka86,61 € -
Empower Decision Makers with SAP Analytics Cloud(2020) GOLE, VINAYAK,SHIRALKAR, SHREEKANTVezava: Mehka12,03 €
