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QR codes in AI and ML: Enhancing predictive analytics for business

Dataconomy

In the field of AI and ML, QR codes are incredibly helpful for improving predictive analytics and gaining insightful knowledge from massive data sets. Some of the methods used in ML include supervised learning, unsupervised learning, reinforcement learning, and deep learning.

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Top Python AI and Machine Learning Libraries

Flipboard

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). A lot of …

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Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements

Flipboard

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. Deploy traditional models to SageMaker endpoints In the following examples, we showcase how to use ModelBuilder to deploy traditional ML models.

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PACT-3D, a deep learning algorithm for pneumoperitoneum detection in abdominal CT scans

Flipboard

We developed and validated a deep learning model designed to identify pneumoperitoneum in computed tomography images. when cases with a small amount of free air (total volume <10 ml) are excluded. Delays or misdiagnoses in detecting pneumoperitoneum can significantly increase mortality and morbidity.

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Computer Vision and Deep Learning for Education

PyImageSearch

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. Or requires a degree in computer science? That’s not the case.

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Exploring the anticancer activities of Sulfur and magnesium oxide through integration of deep learning and fuzzy rough set analyses based on the features of Vidarabine alkaloid

Flipboard

& µg∕mL, 25.78& & µg∕mL, and ˃ 100& µg∕mL against non-small Lung cancer (A-549), Human Melanoma (A-375), and Human epidermoid Skin carcinoma (skin/epidermis) (A-431) respectively. & µg/ml respectively). & µg/ml respectively).

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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

These computer science terms are often used interchangeably, but what differences make each a unique technology? To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. Machine learning is a subset of AI.