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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: Mehka82,08 €
GUGGER, SYLVAIN,HOWARD, JEREMY
Deep Learning for Coders with fastai and PyTorch
Authors 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 alg
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Machine Knowledge(2021) WEIKUM, GERHARD,DONG, XIN LUNA,RAZNIEWSKI, SIMON,SUCHANEK, FABIANSurveys fundamental concepts and practical methods for creating and curating large knowledge bases. The book covers models and methods for discovering and curating large knowledge bases from online content, with emphasis on semi-structured web pages and uVezava: Mehka67,74 €
WEIKUM, GERHARD,DONG, XIN LUNA,RAZNIEWSKI, SIMON,SUCHANEK, FABIAN
Machine Knowledge
Surveys fundamental concepts and practical methods for creating and curating large knowledge bases. The book covers models and methods for discovering and curating large knowledge bases from online content, with emphasis on semi-structured web pages and u
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Exploring Graphs with Elixir(2022) HAMMOND, TONYData is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, wiVezava: Mehka53,51 €
HAMMOND, TONY
Exploring Graphs with Elixir
Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, wi
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Seven Databases in Seven Weeks 2e(2018) PERKINS, LUC,REDMOND, ERIC,WILSON, JIMThis is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions to seven different technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new cVezava: Mehka53,51 €
PERKINS, LUC,REDMOND, ERIC,WILSON, JIM
Seven Databases in Seven Weeks 2e
This is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions to seven different technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new c
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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: Mehka67,97 €
MOUNT, GEORGE
Advancing into Analytics
With 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 language
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Tableau Desktop Cookbook(2021) BROWN, LORNAAuthor Lorna Brown provides more than 100 practical recipes to enhance the way you build Tableau dashboards--and helps you understand your data through the power of Tableau Desktop 2020's interactive data visualizations.Vezava: Mehka82,08 €
BROWN, LORNA
Tableau Desktop Cookbook
Author Lorna Brown provides more than 100 practical recipes to enhance the way you build Tableau dashboards--and helps you understand your data through the power of Tableau Desktop 2020's interactive data visualizations.
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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: Mehka67,97 €
JANSSENS, JEROEN
Data Science at the Command Line
This 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, and
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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: Mehka92,35 €
KARASAN, ABDULLAH
Machine Learning for Financial Risk Management with Python
Financial 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 models
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Mastering Apache Pulsar(2021) JOSEPH, JOWANZAIf you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds.Vezava: Mehka82,08 €
JOSEPH, JOWANZA
Mastering Apache Pulsar
If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds.
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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: Mehka82,08 €
PARSIAN, MAHMOUD
Data Algorithms with Spark
With 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 algorit
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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: Mehka67,97 €
EL EMAM, KHALED,MOSQUERA, LUCY,HOPTROFF, RICHARD
Practical Synthetic Data Generation
Building 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 perform
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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: Mehka82,08 €
BRUCE, PETER,BRUCE, ANDREW,GEDECK, PETER
Practical Statistics for Data Scientists
Courses 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, tell
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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: Mehka57,71 €
POINTER, IAN
Programming PyTorch for Deep Learning
Take 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 the
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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: Mehka67,97 €
WEIDMAN, SETH
Deep Learning from Scratch
With 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 ma
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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: Mehka67,97 €
PETROV, ALEX
Database Internals
With 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 o
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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: Mehka82,08 €
SHAPIRA, GWEN,PALINO, TODD,SIVARAM, RAJINI
Kafka - The Definitive Guide
With 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, an
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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: Mehka67,97 €
ZHENG, ALICE
Feature Engineering for Machine Learning
Feature 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 f
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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: Mehka82,08 €
GORELIK, ALEX
Enterprise Big Data Lake
The 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 than
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