Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting ...

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...

A deep learning model was able to determine the presence or absence of distinct autoimmune neuroinflammatory disorders.

Discover how Python is evolving in 2025 with new tools, frameworks, and trends shaping AI, data science, and API development.

ChatGPT-style vision models often 'hallucinate' elements that do not belong in an image. A new method cuts down on these errors by showing the model exaggerated versions of its own hallucinations, ...

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results.

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...