Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Tariffs and uncertainty were already making the economy hard to read. The loss of government data during the shutdown has made the situation much worse. By Ben Casselman and Colby Smith Tariffs are at ...

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...

The primary goal of this project is to leverage machine learning algorithms to predict the likelihood of an individual developing lung cancer. By examining key patient data points and employing data ...

What is Data Science Fundamentals with Python? Data science transforms information into action. Through programming, analytics, and machine learning, data professionals uncover patterns, generate ...

1 Computer Science Department, Palestine Technical University - Kadoorie, Tulkarm, Palestine 2 Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain ...

ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...

Designed to automate and streamline the process of cleaning and transforming raw data into usable formats. It leverages advanced algorithms to handle missing values, outliers, duplicate entries, and ...