Daniel Vaughan - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Zwinna analiza danych. Apache Hadoop dla każdego
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Badanie danych. Raport z pierwszej linii działań
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Practical Machine Learning: A New Look at Anomaly Detection
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Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha. Wydanie II
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Anonymizing Health Data. Case Studies and Methods to Get You Started
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Doing Data Science. Straight Talk from the Frontline
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Puppet 3 Cookbook. An essential book if you have responsibility for servers. Real-world examples and code will give you Puppet expertise, allowing more control over servers, cloud computing, and desktops. A time-saving, career-enhancing tutorial - Second Edition
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Building Machine Learning Systems with Python. Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need
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Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha
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Instant MapReduce Patterns - Hadoop Essentials How-to. Practical recipes to write your own MapReduce solution patterns for Hadoop programs
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QlikView 11 for Developers. This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide
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Getting Started with Storm
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How Data Science Is Transforming Health Care
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Hurtownie danych. Od przetwarzania analitycznego do raportowania
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Microsoft SQL Server. Modelowanie i eksploracja danych
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Designing Data Visualizations. Representing Informational Relationships
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21 Recipes for Mining Twitter. Distilling Rich Information from Messy Data
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Beautiful Visualization. Looking at Data through the Eyes of Experts
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Head First Data Analysis. A learner's guide to big numbers, statistics, and good decisions
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XSLT. 2nd Edition
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Harnessing Hibernate
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Web Mapping Illustrated. Using Open Source GIS Toolkits
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Analiza biznesowa. Praktyczne modelowanie organizacji
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Excel 2013. Kurs video. Poziom drugi. Przetwarzanie i analiza danych
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Data science, trudne elementy. Jak stać się ekspertem w danologii