From Grokking Deep Learning for Computer Vision by Mohamed Elgendy
In this part, we will delve into image preprocessing for computer vision systems.
From Blockchain in Action by Bina Ramamurthy
From Build Your Career in Data Science by Emily Robinson and Jacqueline Nolis
From Grokking Machine Learning by Luis G. Serrano
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.
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.
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 Azure Data Engineering: Real-time, streaming, and batch analytics
By Richard L. Nuckolls
