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Data Wrangling with Python

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Databases

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af Jonathan Rigdon ...

Databases are structured collections of data that enable efficient retrieval, insertion, updating, and deletion of information. They serve as the foundation for various applications, from simple contact lists to complex enterprise systems. Key concepts include tables, which organize data into rows and columns; relationships, which define connections between tables; and SQL (Structured Query ... Læs mere

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Databehandling e-bøger

Machine Learning at Scale with H2O

Automated Machine Learning on AWS

Combining, Modelling and Analyzing Imprecision, Randomness and Dependence

Data Analysis and Related Applications, Volume 2

Redash v5 Quick Start Guide

Mastering Hadoop 3

Innovations in Communication Networks: Sustainability for Societal and Industrial Impact

Google Cloud AI Services Quick Start Guide

Learning Jupyter 5

Hands-On Deep Learning for Images with TensorFlow

Learning Pentaho Data Integration 8 CE

Scala and Spark for Big Data Analytics

Big Data Architect???s Handbook

Mastering Apache Spark 2.x

SAS for Finance

Getting Started with Tableau 2018.x

Data Science with SQL Server Quick Start Guide

Mastering Elastic Stack

Mastering Machine Learning with Spark 2.x

Learning Pandas

Longitudinal Analysis of Real World Time-to-event Data in Health Care

Data Wrangling with Python

Inteligência Artificial: Compreender em Que Consiste a I.A. e o Que Implica a Aprendizagem das Máquinas

Databases