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Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler Key Features\[\*\]Get up–and-running with IBM SPSS Modeler without going into too much depth.\[\*\]Identify interesting relationships within your data and build effective data mining and predictive analytics solutions\[\*\]A quick, easy–to-follow guide to give you a fundamental understanding of SPSS ... Leer más

$27.89 USD o gratis con Kobo Plus

Get to grips with the fundamentals of data mining and predictive analytics with IBM SPSS Modeler Key Features\[\*\]Get up–and-running with IBM SPSS Modeler without going into too much depth.\[\*\]Identify interesting relationships within your data and build effective data mining and predictive analytics solutions\[\*\]A quick, easy–to-follow guide to give you a fundamental understanding of SPSS
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Julia 1.0 Programming

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Mastering Machine Learning with Spark 2.x

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Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

de Silas Toms, Eric van Rees, Paul Crickard ...

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Contemporary Perspectives in Data Mining

Edición de Kenneth D. Lawrence, Ronald K. Klimberg ...

Series Libro 5 - Contemporary Perspectives in Data Mining
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The series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. The series is targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this
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Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPyKey Features\[\*\] Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib\[\*\]Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more\[\*\]A must-have book if you're looking to solve your data-related
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eBooks de Procesamiento de datos

IBM SPSS Modeler Essentials

Data-Intensive Systems Quickstart

Getting Started with Tableau 2018.x

Julia 1.0 Programming

Machine Learning with TensorFlow 1.x

Big Data Analytics with SAS

Big Data Analytics with Java

Transitions of the Immutable: Reflections on Public Education in the 21st Century

Mastering Apache Storm

Mastering Machine Learning with Spark 2.x

Learning Spark SQL

Effective Business Intelligence with QuickSight

Getting Started with Julia

Principles of Data Science

Practical Business Intelligence

Scientific Computing with Python 3

Learning Jupyter 5

Big Data Architect???s Handbook

Apache Hive Essentials

Hands-On Data Visualization with Bokeh

Mastering Geospatial Analysis with Python

Cloud Analytics with Google Cloud Platform

Contemporary Perspectives in Data Mining

SciPy Recipes