Abstract: Fuel efficiency prediction model with TensorFlow, analyzing key vehicle parameters to better inform sustainable auto design and consumer decisionmaking. This model uses the dataset of auto ...

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.

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

The incident occurred at a medical building in Westbury, New York. A 61-year-old man who suffered critical injuries after being pulled into an MRI machine while wearing a metal chain has died, police ...

ABSTRACT: Financial anomaly detection is crucial for maintaining market order and protecting investor interests. This study explores the application of machine learning in financial anomaly detection.

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...

This repository contains assignments and project work completed for the "Applied Machine Learning in Python" course offered by the University of Michigan on Coursera. The course covers practical ...

The choice of programming language in Artificial Intelligence (AI) development plays a vital role in determining the efficiency and success of a project. C++, Python, Java, and Rust each have distinct ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...