AWS Machine Learning Blog

DECEMBER 4, 2023

Established in 2015, Getir has positioned itself as the trailblazer in the sphere of ultrafast grocery delivery. We capitalized on the powerful tools provided by AWS to tackle this challenge and effectively navigate the complex field of machine learning (ML) and predictive analytics.

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Pickl AI

JANUARY 23, 2023

It is not a good when dealing with RNN (Recurrent Neural Networks) Also See: 5 Machine Learning Algorithms That Every ML Engineer Should know Microsoft CNTK CNTK is a deep learning framework that was created by Microsoft Research. It is an open source framework that has been available since April 2015. It is very fast and supports GPU.

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DagsHub

JULY 25, 2024

This guarantees businesses can fully utilize deep learning in their AI and ML initiatives. You can make more informed judgments about your AI and ML initiatives if you know these platforms' features, applications, and use cases. Developed by François Chollet, it was released in 2015 to simplify the creation of deep learning models.

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PyImageSearch

JANUARY 30, 2023

AI- and ML-powered software can deliver widely available and affordable opportunities for students to upskill. Figure 6: Changing demand for core work-related skills from 2015 to 2020 (source: IFC ). Predictive analytics can help school leaders proactively manage and predict issues before they occur.

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Snorkel AI

JANUARY 25, 2024

Finding ways to utilise unstructured data for AI/Machine Learning (ML) use cases requires platforms that not only make the data accessible, but do so in a way that can be built on by non-technical stakeholders. QBE Ventures’ introduction to Snorkel AI came from our QBE data science and claims analytics peers.

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Snorkel AI

JANUARY 25, 2024

Finding ways to utilise unstructured data for AI/Machine Learning (ML) use cases requires platforms that not only make the data accessible, but do so in a way that can be built on by non-technical stakeholders. QBE Ventures’ introduction to Snorkel AI came from our QBE data science and claims analytics peers.

AI 52

AI AI ML ML 52

Snorkel AI

JANUARY 25, 2024

Finding ways to utilise unstructured data for AI/Machine Learning (ML) use cases requires platforms that not only make the data accessible, but do so in a way that can be built on by non-technical stakeholders. QBE Ventures’ introduction to Snorkel AI came from our QBE data science and claims analytics peers.

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AI AI ML ML 52