Machine Learning

Showing 1-9 of 42 results
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Architecting Effective Data Labeling Systems for Machine Learning Pipelines

By Reza Fazeli

Machine learning models are trained on massive datasets in which each data point is labeled to give it context and meaning. This deep dive describes how to build a data labeling architecture from scratch, with a focus on workflow, security, and data quality.

16 minute readContinue Reading
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Using an LLM API As an Intelligent Virtual Assistant for Python Development

By Tarek Mohamed Mehrez

With proper instruction, LLMs can be highly effective coding assistants. This step-by-step guide shows you how to generate a call to an external API using Python and the OpenAI API.

16 minute readContinue Reading
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Advancing AI Image Labeling and Semantic Metadata Collection

By Neven Pičuljan

Image labeling can be a tedious, time-consuming task, compounded by the sheer volume of data needed to train deep neural networks. This article breaks down large data set processing and explains how a new SaaS product can help automate image labeling.

13 minute readContinue Reading
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Ask an AI Engineer: Trending Questions About Artificial Intelligence

By Joao Diogo de Oliveira

In this ask-me-anything-style Q&A, leading Toptal AI developer Joao Diogo de Oliveira fields questions from fellow engineers about resources for pivoting to ML, approaches to large language models, and the most critical future applications of AI.

6 minute readContinue Reading
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Advantages of AI: Using GPT and Diffusion Models for Image Generation

By Juan Manuel Ortiz de Zarate

Generative AI is taking the world by storm, with potentially profound impacts on the content we create. Learn the basics of AI image generation and produce sophisticated artistic renderings with this tutorial.

7 minute readContinue Reading
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Identifying the Unknown With Clustering Metrics

By Surbhi Gupta

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.

12 minute readContinue Reading
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Ensemble Methods: The Kaggle Machine Learning Champion

By Juan Manuel Ortiz de Zarate

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.

9 minute readContinue Reading
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Machine Learning Number Recognition: From Zero to Application

By Teimur Gasanov

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
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Optimizing Retailer Revenue with Sales Forecasting AI

By Ahmed Khaled

Retailers often face supply and demand issues that cause them to miss out on potential sales or tie up a lot of money in overstocked products. In this article, Toptal Data Scientist Ahmed Khaled explains how retailers can boost revenues and cut costs with sales forecasts backed by artificial intelligence.

9 minute readContinue Reading

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