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Our exam cram notes are a concise bundling of condensed notes of the complete exam blueprint. It is an ideal and handy document which provide you a quick view of the technological concepts related to the certification exam. ... Les mer

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Our exam cram notes are a concise bundling of condensed notes of the complete exam blueprint. It is an ideal and handy document which provide you a quick view of the technological concepts related to the certification exam.
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This open access book begins with an algorithm–a set of IF…THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of
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Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and
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+ GRATIS prøveperiode på 30 dager

Anbefalt for deg

Databasebehandling e-bøker

Invisible Women

The Art of Explanation

How to Win the Premier League

Data Science for Business

The Kubernetes Bible

Fundamentals of Data Engineering

Machines That Think

Bayesian Statistics the Fun Way

The Descent of Artificial Intelligence

How to Speak Machine

Learning Elastic Stack 7.0

Think Bayes

Protecting Pins and Passwords

Limitless Analytics with Azure Synapse

Principles of Database Management

Text as Data

Algorithms Unlocked

How Data Happened

Expected Goals

Python and SQLite Development

Data Science for Economics and Finance

DP-300: Administering Relational Databases on Microsoft Azure - Exam Cram Notes : First Edition - 2022

The Everyday Life of an Algorithm

Text Mining with R