数据科学与数据库

139个结果中显示1-7个

Advancing AI Image Labeling and Semantic Metadata Collection

图像标记可能是一件乏味的事情, 非常耗时的任务, 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.

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乃文πčuljan

Neven is an artificial intelligence engineer with extensive experience in 机器学习, 计算机视觉, 算法, and a range of AI-related technologies. 在创立AI R之前&D咨询公司, Neven helped create and train cutting-edge 计算机视觉 models used by healthcare, 电子商务, 房地产, 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.

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Necati Demir博士

Necati is a software engineer specializing in data science, 机器学习, 后端开发, 和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 机器学习 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, 内容的完整性, 算法的偏见, 和更多的. 在这里, three experts at the forefront of NLP present recommendations for developing ethical generative AI solutions.

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外祖母道格拉斯

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

在这个问我任何问题的Q中&A, leading Toptal AI 开发人员若昂·迪奥戈·德·奥利维拉 fields questions from fellow engineers about resources for pivoting to ML, approaches to large language models, and the most critical future applications of AI.

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若昂·迪奥戈·德·奥利维拉

Joao is an AI 开发人员 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.

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胡安·曼纽尔·奥尔蒂斯·德·萨拉特

Juan是一名开发人员, 数据科学家, and doctoral researcher at the University of Buenos Aires where he studies social networks, AI, 和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 数据科学家 and AI engineer 丹尼尔·帕姆雷斯·卢比奥 fields questions from fellow programmers on a wide range of 机器学习, 自然语言处理, and artificial intelligence topics.

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丹尼尔·帕姆雷斯·卢比奥

丹尼尔是一名数据科学家, 开发人员, 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 数据科学家 at BASF and Daimler.

An 专家 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.

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Pankaj Kansodariya

Pankaj is a back-end 开发人员 and Microsoft Certified Professional with more than 18 years of experience within the Microsoft ecosystem, 包括c#, VB.NET, SQL Server, and cloud computing with Microsoft Azure. 他做过 .NET 开发人员 at companies including Granicus, Gartner, and Jacobs.

Toptal 工程专家

加布里埃尔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, 解决技术债务, providing best practices code examples, 指导开发者.

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数据科学与数据库

By 乃文πčuljan

By Necati Demir博士

By 外祖母道格拉斯

By 若昂·迪奥戈·德·奥利维拉

By 胡安·曼纽尔·奥尔蒂斯·德·萨拉特

By 丹尼尔·帕姆雷斯·卢比奥

By Pankaj Kansodariya