From Human-in-the-Loop Machine Learning by Robert Munro.
From How Machine Learning Works by Mostafa Samir Abd El-Fattah
From Machine Learning for Business by Doug Hudgeon and Richard Nichol
This article explores the amazing potential of natural language processing and some of its associated difficulties.
From Zero to AI by Nicolo Valigi and Gianluca Mauro
From Practical Data Science with R, Second Edition by Nina Zumel and John Mount
This article discusses how one can experiment with the effectiveness of a classification model using a spam filter.
From Real-World Natural Language Processing by Masato Hagiwara
From Probabilistic Deep Learning with Python by Oliver Dürr, Beate Sick, and Elvis Murina
From Machine Learning for Business by Doug Hudgeon and Richard Nichol
This article covers basic time-series forecasting: what it is and why it’s a tough problem.
From Deep Learning for Vision Systems by Mohamed Elgendy
In this part, we will take a look at feature extraction—a core component of the computer vision pipeline.