Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
eLife

Language comprehension functionally modulates first-order relay thalamic nuclei

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
eLife

Mouse sensorimotor cortex reflects complex kinematic details during reaching and grasping

Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
GitHub

Linear Regression Practice Using Python

Linear Regression Practice Using Python This study involves practical application of regression analysis, as covered in the Google Advanced Data Analytics course. For more information, you may refer ...
Hosted on MSN

Build logistic regression in Python from scratch easily

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
Scientific Research Publishing

AI Large Language Model-Driven Pedagogical Reform and Practice for the Python Programming Course: A Case Study in the Electronic Information Engineering Program ()

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...
InfoWorld

First look: Guided code generation with Kiro

Kiro is the new Amazon Web Services IDE for creating software projects using agentic AI. A developer using Kiro creates a specification for the desired program, and Kiro uses Claude Sonnet (3.7 or 4.0 ...
Hosted on MSN

Multiple Linear Regression in Python from Scratch ¦ Explained Simply

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...