From Machine Learning for Business by Doug Hudgeon and Richard Nichol
In this article, you’ll see how SageMaker and the Random Cut Forest algorithm can be used to create a model that will highlight the invoice lines that Brett should query with the law firm. The result will be a repeatable process that Brett can apply to every invoice that will keep the lawyers working for his bank on their toes and will save the bank hundreds of thousands of dollars per year. Off we go!
From Data Science at Scale with Python and Dask by Jesse C. Daniel
This article delves into building linear models using Dask-ML.
From Grokking Deep Learning for Computer Vision by Mohamed Elgendy
By Mohamed Elgendy
From Grokking Deep Learning for Computer Vision By Mohamed Elgendy
From Deep Learning and the Game of Go by Max Pumperla and Kevin Ferguson
This article shows you how to use the minimax algorithm to help your game bot decide its next move.
From Math for Programmers by Paul Orland
Six Questions for Kesha Williams of AWS Machine Learning in Motion
By Frances Lefkowitz, Manning Development Editor
Kesha Williams is a full-stack web developer specializing in Java and AWS. She has won numerous awards for her innovative development, as well as her work as a college professor, speaker, tech blogger, and mentor. The founder of Colors of STEM, which cultivates role models to inspire girls of all races to enter the science and tech fields.
From Deep Learning Crash Course by Oliver Zeigermann
From Graph-Powered Machine Learning by Alessandro Negro
