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Tackle computer science problems using both fundamental and modern algorithms in machine learning

KDnuggets

Master algorithms, including deep learning like LSTMs, GRUs, RNNs, and Generative AI & LLMs such as ChatGPT, with Packt's 50 Algorithms Every Programmer Should Know.

Algorithm 360
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Top 10 blogs on NLP in Analytics Vidhya 2022

Analytics Vidhya

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages.

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New Deep Learning Algorithm Can Tell if You’re Above the Legal Drinking Limit

ODSC - Open Data Science

A new deep learning algorithm just needs 12 seconds to determine if you’re above the legal drinking limit. The audio-based deep learning algorithm, ADLAIA, was trained to detect and identify alcohol inebriation levels based on a 12-second clip of their speech. How this algorithm works is interesting.

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A deep learning pipeline for three-dimensional brain-wide mapping of local neuronal ensembles in teravoxel light-sheet microscopy

Flipboard

Realizing the potential of this technology requires computational pipelines that generalize across experimental protocols and map neuronal activity at the laminar and subpopulation-specific levels, beyond atlas-defined regions.

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Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model

Flipboard

Numerous pattern recognition algorithms for cell-sized objects in HIs depend upon segmentation to assess features. This manuscript proposes the Coati Optimization Algorithm with Deep Learning-Driven Mitotic Nuclei Segmentation and Classification (COADL-MNSC) technique.

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AI-screened eye pics diagnose childhood autism with 100% accuracy

Flipboard

Researchers have taken photographs of children’s retinas and screened them using a deep learning AI algorithm to diagnose autism with 100% accuracy. …

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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. Delays or misdiagnoses in detecting pneumoperitoneum can significantly increase mortality and morbidity. CT scans are routinely used to diagnose pneumoperitoneum.