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Top 7 algorithms for scientific computing, data analysis, and machine learning

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Build a strong foundation of machine learning algorithms in 7 daysKey FeaturesUse Python and its wide array of machine learning libraries to build predictive modelsLearn the basics of the 7 most widely used machine learning algorithms within a weekKnow when and where to apply data science algorithms using this guideBook DescriptionMachine learning applications are highly automated and self
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Hands-On Data Science with the Command Line

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Big data processing and analytics at speed and scale using command line tools. Key FeaturesPerform string processing, numerical computations, and more using CLI toolsUnderstand the essential components of data science development workflowAutomate data pipeline scripts and visualization with the command lineBook DescriptionThe Command Line has been in existence on UNIX-based OSes in the form of ... Les mer

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Serie serien Springer Nature Proceedings excluding Computer Science
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Build blockchain-based cryptocurrencies, smart contracts, and DApps

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Anbefalt for deg

Databehandling e-bøker

Data Science Algorithms in a Week

Hands-On Data Science with the Command Line

Hands-On SQL Server 2019 Analysis Services

Building Data Science Applications with FastAPI

Distributed Data Systems with Azure Databricks

Mastering Numerical Computing with NumPy

Learn Azure Synapse Data Explorer

R Statistics Cookbook

MongoDB 4 Quick Start Guide

Blockchain for Enterprise

Hands-On Machine Learning on Google Cloud Platform

Splunk 7 Essentials

Learning Apache Spark 2

MongoDB Administrator's Guide

Machine Learning with R Cookbook

Mastering Predictive Analytics with R, Second Edition

SQL Server on Linux

Hadoop 2.x Administration Cookbook

PostgreSQL Administration Cookbook, 9.5/9.6 Edition

Learning Apache Cassandra

Mastering Spark for Data Science

Ultimate Data Engineering Design Patterns

Anticipating Socio-Ecological Impacts of Artificial Intelligence

Ethereum Projects for Beginners