Data Science and Databases

Showing 1-7 of 139 results

Advancing AI Image Labeling and Semantic Metadata Collection

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

Neven Pičuljan

Neven is an artificial intelligence engineer with extensive experience in machine learning, computer vision, algorithms, and a range of AI-related technologies. Prior to founding an AI R&D consulting company, Neven helped create and train cutting-edge computer vision models used by healthcare, e-commerce, real estate, and financial services companies across the globe.

Apache Spark Optimization Techniques for High-performance Data Processing

Apache Spark is an analytics engine that can handle very large data sets. This guide reveals strategies to optimize its performance using PySpark.

11 minute readContinue Reading

Necati Demir, PhD

Necati is a software engineer specializing in data science, machine learning, back-end development, and DevOps. He is an AWS Certified Solutions Architect and AWS Certified Machine Learning Specialist with a doctorate in computer engineering. Necati serves as Chief AI Officer and CTO of Datagran, a machine learning automation company that he co-founded.

5 Pillars of Responsible Generative AI: A Code of Ethics for the Future

Generative AI advances raise new questions around data ownership, content integrity, algorithmic bias, and more. Here, three experts at the forefront of NLP present recommendations for developing ethical generative AI solutions.

12 minute readContinue Reading

Madelyn Douglas

Madelyn is the Lead Editor of Engineering at Toptal and a former software engineer at Meta. She has more than six years of experience researching, writing, and editing for engineering publications, specializing in emerging technologies and AI. She previously served as an editor at USC’s Viterbi School of Engineering and her research on engineering ethics was published at IEEE’s NER 2021 conference.

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

Joao Diogo de Oliveira

Joao is an AI developer with more than 10 years of experience at Fortune 100 companies like Procter & Gamble and startups in the healthcare, energy, and finance industries. Joao holds a master’s degree in computer science from the University of Porto and has multiple certifications in ML and deep learning.

Advantages of AI: Using GPT and Diffusion Models for Image Generation

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

Juan Manuel Ortiz de Zarate

Juan is a developer, data scientist, and doctoral researcher at the University of Buenos Aires where he studies social networks, AI, and NLP. Juan has more than a decade of data science experience and has published papers at ML conferences including SPIRE and ICCS.

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Ask an NLP Engineer: From GPT Models to the Ethics of AI

Want to expand your skills amid the current surge of revolutionary language models like GPT-4? In this ask-me-anything-style tutorial, Toptal data scientist and AI engineer Daniel Pérez Rubio fields questions from fellow programmers on a wide range of machine learning, natural language processing, and artificial intelligence topics.

10 minute readContinue Reading

Daniel Pérez Rubio

Daniel is a data scientist, developer, and former CTO who has specialized in NLP for more than six years, most recently focusing on large language models (LLMs). His experience includes being a senior data scientist at BASF and Daimler.

An Expert Workaround for Executing Complex Entity Framework Core Stored Procedures

Microsoft’s Entity Framework Core is a popular object-relational mapper, but it doesn’t support the return of complex type results from stored procedures. A clever bit of code gets us around this limitation, returning non-database entities with ease.

5 minute readContinue Reading

Pankaj Kansodariya

Pankaj is a back-end developer and Microsoft Certified Professional with more than 18 years of experience within the Microsoft ecosystem, including C#, VB.NET, SQL Server, and cloud computing with Microsoft Azure. He has worked as a .NET developer at companies including Granicus, Gartner, and Jacobs.

Toptal Engineering Expert

Gabriel Courtemanche

Gabriel is a highly efficient and reliable professional who possesses a broad skill set for web application development. He's been working on a range of products and clients—from working on scalability problems in production engineering teams at Shopify and Autodesk to launching new applications for startups. Most of his work consists of leading technical teams, by creating an easy development environment, fixing technical debts, providing best practices code examples, and mentoring devs.

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Data Science and Databases

By Neven Pičuljan

By Necati Demir, PhD

By Madelyn Douglas

By Joao Diogo de Oliveira

By Juan Manuel Ortiz de Zarate

By Daniel Pérez Rubio

By Pankaj Kansodariya