Intelligence
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Expo, React native… on boarding chatbot : Part three
In summary for the moment we have, bubbles for the chatbot and the user, animation to simulate the chatbot’s text…
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Why Artificial Intelligence (AI) Projects Fail
Another reason why AI projects fail is that the primary business problem wasn’t an AI one. Let’s look at an…
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How Chatbots Can Reduce Product Return — An Extensive Guide
A recent survey suggests that almost 30% of all purchases that are made online are returned. For startups and even…
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Build MLOps workflows with Amazon SageMaker projects, GitLab, and GitLab pipelines | Amazon Web Services
Machine learning operations (MLOps) are key to effectively transition from an experimentation phase to production. The practice provides you the…
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Simplified MLOps with Deep Java Library | Amazon Web Services
This is a guest post by Lucas Baker, Andrea Duque, and Viet Yen Nguyen of Hypefactors. At Hypefactors, we build…
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How Careem is detecting identity fraud using graph-based deep learning and Amazon Neptune | Amazon Web Services
This post was co-written with Kevin O’Brien, Senior Data Scientist in Careem’s Integrity Team. Dubai-based Careem became the Middle East’s…
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YouTube comment analysis. Part I.
Photo by Souvik Banerjee on Unsplash Each second countless amount of data is created by social media users on the…
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Bring Your Amazon SageMaker model into Amazon Redshift for remote inference | Amazon Web Services
Amazon Redshift, a fast, fully managed, widely used cloud data warehouse, natively integrates with Amazon SageMaker for machine learning (ML).…
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Run distributed hyperparameter and neural architecture tuning jobs with Syne Tune | Amazon Web Services
Today we announce the general availability of Syne Tune, an open-source Python library for large-scale distributed hyperparameter and neural architecture…
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AWS AI/ML Community attendee guides to AWS re:Invent 2021 | Amazon Web Services
The AWS AI/ML Community has compiled a series of session guides to AWS re:Invent 2021 to help you get the…
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