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Machine Learning Pipeline: Architecture of ML Platform in Production

Altexsoft

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

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Big Data Engineer: Role, Responsibilities, and Job Description

Altexsoft

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

The opportunity for open-ended conversation analysis at enterprise scale MaestroQA serves a diverse clientele across various industries, including ecommerce, marketplaces, healthcare, talent acquisition, insurance, and fintech. She is passionate about learning languages and is fluent in English, French, and Tagalog.

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6 strategic imperatives for your next data strategy

CIO

Not only should the data strategy be cognizant of what’s in the IT and business strategies, it should also be embedded within those strategies as well, helping them unlock even more business value for the organization.

Strategy 174
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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Apiumhub as Partner of the Data Innovation Summit 2023 

Apiumhub

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics. Feel free to check out the whole list of speakers here.

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Use Amazon Titan models for image generation, editing, and searching

AWS Machine Learning - AI

The advanced AI model understands complex instructions with multiple objects and returns studio-quality images suitable for advertising , ecommerce, and entertainment. AI/ML Solutions Architect at AWS, focusing on generative AI and applies his knowledge in data science and machine learning to provide practical, cloud-based business solutions.

AWS 111