Chapters selected by Alex Soto Bueno and Jason Porter
Chapters selected by David Clinton
From Grokking Deep Learning for Computer Vision by Mohamed Elgendy
In this part, we will discuss the input images for computer vision systems.
From Mastering Large Datasets by JT Wolohan
This article explores using the map function creatively in a data project.
Chapters selected by Roberto Infante
Chapters selected by John Guthrie
From Machine Learning with R, tidyverse, and mlr by Hefin Rhys
This article covers:
• What the tidyverse is
• What’s meant by tidy data
• How to install and load the tidyverse
• How to use the tibble, dplyr, ggplot2 and tidyr packages of the tidyverse
From Grokking Deep Learning for Computer Vision by Mohamed Elgendy
In this article, we’ll zoom in on the interpreting device component (of a computer vision system) to take a look at the pipeline it uses to process and understand images.
From Get Programming with Clojure by Yehonathan Sharvit
In this article, we’ll illustrate the uniqueness of the Clojure syntax by focusing on function calls, arithmetic expressions, and if expressions at a high level.
Chapters selected by Kalle Rosenbaum