MachineLearning

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Identifying the Unknown With Clustering Metrics

Clustering in machine learning has a variety of applications, but how do you know which algorithm is best suited to your data? Here’s how to amplify your data insights with comparison metrics, including the F-measure.

13 minute readContinue Reading
Surbhi Gupta

Surbhi Gupta

Ensemble Methods: The Kaggle Machine Learning Champion

Two heads are better than one. This proverb describes the concept behind ensemble methods in machine learning. Let’s examine why ensembles dominate ML competitions and what makes them so powerful.

10 minute readContinue Reading
Juan Manuel Ortiz de Zarate

Juan Manuel Ortiz de Zarate

Machine Learning Number Recognition: From Zero to Application

Harnessing the potential of machine learning for computer vision is not a new concept but recent advances and the availability of new tools and datasets have made it more accessible to developers.

In this article, Toptal Software Developer Teimur Gasanov demonstrates how you can create an app capable of identifying handwritten digits in under 30 minutes, including the API and UI.

10 minute readContinue Reading
Teimur Gasanov

Teimur Gasanov

Embeddings in Machine Learning: Making Complex Data Simple

Working with non-numerical data can be challenging, even for seasoned data scientists. To make good use of such data, it needs to be transformed. But how?

In this article, Toptal Data Scientist Yaroslav Kopotilov will introduce you to embeddings and demonstrate how they can be used to visualize complex data and make it usable.

11 minute readContinue Reading
Yaroslav Kopotilov

Yaroslav Kopotilov

The Many Applications of Gradient Descent in TensorFlow

TensorFlow is one of the leading tools for training deep learning models. Outside that space, it may seem intimidating and unnecessary, but it has many creative uses—like producing highly effective adversarial input for black-box AI systems.

18 minute readContinue Reading
Alan Reiner

Alan Reiner

Getting the Most Out of Pre-trained Models

Pre-trained models are making waves in the deep learning world. Using massive pre-training datasets, these NLP models bring previously unheard-of feats of AI within the reach of app developers.

10 minute readContinue Reading
Nauman Mustafa

Nauman Mustafa

Sound Logic and Monotonic AI Models

For those working with AI, the future is certainly exciting. At the same time, there is a general sense that AI suffers from one pesky flaw: AI in its current state can be unpredictably unreliable.

12 minute readContinue Reading
Emmanuel Tsukerman

Emmanuel Tsukerman

Stars Realigned: Improving the IMDb Rating System

IMDb ratings have genre bias: For example, dramas tend to score higher. Removing common feature bias and keeping unique characteristics, it’s possible to create a new, refined score based on IMDb information.

10 minute readContinue Reading
Juan Manuel Ortiz de Zarate

Juan Manuel Ortiz de Zarate

Semi-supervised Image Classification With Unlabeled Data

Supervised learning is the key to computer vision and deep learning. However, what happens when you don’t have access to large, human-labeled datasets?

In this article, Toptal Computer Vision Developer Urwa Muaz demonstrates the potential of semi-supervised image classification using unlabeled datasets.

9 minute readContinue Reading
Urwa Muaz

Urwa Muaz

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