Alicja Wolny-Dominiak - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
-
Bayesian Analysis with Python. Click here to enter text
-
Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
-
Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
-
Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition
-
R: Unleash Machine Learning Techniques. Smarter data analytics
-
Spark for Data Science. Click here to enter text
-
Excel 2016 PL. Biblia
-
Hadoop: Data Processing and Modelling. Data Processing and Modelling
-
Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data
-
Understanding Compression. Data Compression for Modern Developers
-
Mastering Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
-
R: Data Analysis and Visualization. Click here to enter text
-
Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
-
R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
-
Elasticsearch Server. Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease - Third Edition
-
Regression Analysis with Python. Discover everything you need to know about the art of regression analysis with Python, and change how you view data
-
Metody i techniki odkrywania wiedzy. Narzędzia CAQDAS w procesie analizy danych jakościowych
-
Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
-
Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
-
HDInsight Essentials. Learn how to build and deploy a modern big data architecture to empower your business
-
Learning D3.js Mapping. Build stunning maps and visualizations using D3.js
-
Highcharts Essentials. Create interactive data visualization charts with the Highcharts JavaScript library
-
R Graphs Cookbook. Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs
-
Think Stats. 2nd Edition
-
Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha. Wydanie II
-
matplotlib Plotting Cookbook. Discover how easy it can be to create great scientific visualizations with Python. This cookbook includes over sixty matplotlib recipes together with clarifying explanations to ensure you can produce plots of high quality
-
Metoda Lean Analytics. Zbuduj sukces startupu w oparciu o analizę danych
-
Optimizing Hadoop for MapReduce. This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it’s an example-driven tutorial for the real world
-
Anonymizing Health Data. Case Studies and Methods to Get You Started
-
Business Models for the Data Economy
-
Oracle Database 12c Backup and Recovery Survival Guide. A comprehensive guide for every DBA to learn recovery and backup solutions
-
Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha
-
Getting Started with Oracle Event Processing 11g. Create and develop real-world scenario Oracle CEP applications
-
MapReduce Design Patterns. Building Effective Algorithms and Analytics for Hadoop and Other Systems
-
Microsoft SQL Server. Modelowanie i eksploracja danych
-
XSLT Cookbook. 2nd Edition
-
R i pakiet shiny. Kurs video. Interaktywne aplikacje w analizie danych
-
Szeregi czasowe w R. Kurs video. Prognoza, analiza i wizualizacja w praktyce
-
Power BI. Kurs video. Kompleksowe przygotowanie do pracy Power BI developera
-
Power BI Desktop. Kurs video. Wykorzystanie narzędzia w analizie i wizualizacji danych
-
Analiza danych w środowisku R. Kurs video. Poziom pierwszy. Manipulacja, modelowanie i wizualizacja danych w praktyce
-
Modelowanie danych