IEEE

Estimation of Warfarin Dosage using a Specialized XGBoost-based Pharmacogenomic Machine Learning Model and Evaluation using XAI

Abstract: Warfarin is a commonly used anticoagulant for which dosing needs to be individually optimized highly tightly to match against the potential for bleeding and thrombotic side effects. We ...
Hosted on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
EurekAlert!

Intelligent XGBoost framework enhances asphalt pavement skid resistance assessment

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
AOL

A high school dropout who got hired at OpenAI says he used ChatGPT to learn Ph.D.-level AI

A high school dropout says ChatGPT helped him learn doctorate-level AI. He's now a research scientist at OpenAI working on Sora. "You can get any foundational knowledge from ChatGPT," said Gabriel ...
GitHub

Sales Pipeline Prediction API

This repository contains a production-ready Machine Learning API built with FastAPI for predicting the outcome (WIN or LOST) of deals in a sales pipeline. The core artifact is a pre-trained XGBoost ...
blockchain

Enhancing XGBoost Model Training with GPU-Acceleration Using Polars DataFrames

Discover how GPU-accelerated Polars DataFrames enhance XGBoost model training efficiency, leveraging new features like category re-coding for optimal machine learning workflows. The integration of GPU ...
InfoWorld

AI and machine learning outside of Python

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.
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
IEEE

Speech Emotional Recognition using XGBoost and Deep Learning Algorithm and Multisource Datasets

Abstract: Speech emotional recognition (SER) focuses on developing computers' comprehension and response to human emotional tones and is a key field of research in human-machine interaction. This ...
Education Week

Rising Use of AI in Schools Comes With Big Downsides for Students

Teachers’ and students’ use of artificial intelligence in K-12 classrooms is increasing at a rapid pace, prompting serious concerns about the potentially negative effects on students, a new report ...
C&EN

Enhancing Engine Performance and Sustainability: Gold Nanoparticles and Machine Learning for Biodiesel Optimization in Compression Ignition Systems

Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), ...