Constructing deep learning models can be significantly challenging due to a scarcity of data. An effective and concise training of these models depends heavily on amassing and annotating giant datasets, which can be both expensive and time-consuming. As a result, data augmentation has emerged as a solution to this problem…

Artificial Intelligence (AI) and Machine Learning have witnessed explosive growth over recent years, transforming numerous sectors and allowing them to acquire useful insights from their data. As we move towards 2023, we can anticipate AI and ML to continue their upward trajectory, with new trends and innovations set to emerge…

Object detection technology evolves rapidly and finds new applications across various industries, enabling machines to perceive and interpret visual information from the real world for a wide range of tasks. …

Machine learning has revolutionized the way we approach data analysis, and Scikit-learn has emerged as one of the most popular and versatile libraries for implementing machine learning algorithms. In this comprehensive guide, we’ll explore Scikit-learn and its many features, including how to use it for classification, regression, clustering, and more…

Hello researcher or data scientist, Reading is a conversation. All books talk. That’s why to have a “worthy conversation”, let’s discover what all these books say! Note: Link free books is on the comment section! What are all these books about? “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” by Aurelien Geron This book is a comprehensive guide to building machine learning models using some of the most popular Python…

In December 2022, researchers at the Intel Labs and the Perelman School of Medicine at the University of Pennsylvania led the largest-to-date study to identify malignant brain tumors. The project was made possible thanks to federated learning — a distributed machine learning (ML) artificial intelligence (AI) approach that allows aggregation…

Machine Learning (ML) is an algorithmic approach that leverages big data to identify patterns and make predictions, classifications, and optimizations for specific tasks. It is a powerful tool that can deliver high performance, especially in the area of imaging diagnosis for interstitial lung disease. By learning from previously observed data…

The World Health Organization estimates that about 1.7 billion people worldwide suffer from diseases and injuries related to the musculoskeletal system, which comprises locomotor organs like bones, joints, muscles, ligaments, and tendons. Orthopedics, the branch of surgery concerned with the musculoskeletal system, is therefore among the most discussed topics in…

Accurate medical data labeling is critical for both healthcare professionals and AI industries, as it helps in the better understanding of diseases, development of effective treatments, and serves as a training dataset for machine learning models used in healthcare applications. However, this process is not without its challenges, and it…