Tag

Machine Learning

Where do People Fit Best into the Machine Learning Loop?

From Human-in-the-Loop Machine Learning by Robert Munro.

Understanding Machine Learning

From How Machine Learning Works by Mostafa Samir Abd El-Fattah

The Beauty of Natural Language Processing

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.

Zero to AI

From Zero to AI by Nicolo Valigi and Gianluca Mauro

Evaluating a Classification Model with a Spam Filter

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.

Applied Natural Language Processing

From Real-World Natural Language Processing by Masato Hagiwara


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A New Approach to Deep Learning

From Probabilistic Deep Learning with Python by Oliver Dürr, Beate Sick, and Elvis Murina


slideshare-a-new-approach-to-deep-learning

The Computer Vision Pipeline, Part 5: Classifier learning algorithms and conclusion

From Deep Learning for Vision Systems by Mohamed Elgendy

Basic Time-Series Forecasting

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.

The Computer Vision Pipeline, Part 4: feature extraction

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.

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