From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...

Abstract: The research on pet market forecasting is to use appropriate models and algorithms to predict future information, which is of great significance for the pet industry to formulate development ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...

Meta’s AI research team has released a new large language model (LLM) for coding that enhances code understanding by learning not only what code looks like, but also what it does when executed. The ...

1 School of Arts and Media, Qingdao Hengxing University of Science and Technology, Qingdao, China 2 Faculty of Education and Sport Studies, University Malaysia Sabah, Kota Kinabalu, Malaysia It is ...

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...

Abstract: The development and implementation of condition monitoring system become very important for wind industry with the increasing number of failures in wind turbine generators due to over ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...