Subject

Data

The Computer Vision Pipeline, Part 3: image preprocessing

From Grokking Deep Learning for Computer Vision by Mohamed Elgendy

In this part, we will delve into image preprocessing for computer vision systems.

Unlocking Blockchain

From Blockchain in Action by Bina Ramamurthy


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The Data Scientist’s Survival Guide

From Build Your Career in Data Science by Emily Robinson and Jacqueline Nolis


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Want to Learn Machine Learning Inside Out?

From Grokking Machine Learning by Luis G. Serrano


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Fun & Games

Six Questions for Kevin Ferguson, co-author of Deep Learning and the Game of Go.

Kevin Ferguson and Max Pumperla are deep learning specialists skilled in distributed systems and data science. Together, they built the open source bot BetaGo. They also both count Max, the hero of the movie Pi, as a major influence. “He’s a talented mathematician who slowly loses his mind over the stock market and has an intense relationship with his power tools. That’s essentially my short bio,” says Pumperla.

The Computer Vision Pipeline, Part 2: input images

From Grokking Deep Learning for Computer Vision by Mohamed Elgendy

In this part, we will discuss the input images for computer vision systems.

Working with Large Datasets Faster: using the map function

From Mastering Large Datasets by JT Wolohan

This article explores using the map function creatively in a data project.

Tidying, Manipulating, and Plotting Data with the tidyverse

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

Computer Vision Pipeline, Part 1: the big picture

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.

Data Analytics on Azure

From Azure Data Engineering: Real-time, streaming, and batch analytics
By Richard L. Nuckolls

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