News

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
V-MR

Machine Learning as a Service (MLaaS) Market Growth 2023–2030 | Trends, Stats & Forecast

Discover how the global Machine Learning as a Service (MLaaS) market, valued at USD 4.12 billion in 2022, is projected to ...

Unsloth : The Secret Weapon for Faster Machine Learning Models

Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...
Devdiscourse

How federated learning can transform cyber threat defense in IIoT

Federated learning provides an alternative by enabling local model training on distributed devices, with only model updates shared back to a coordinator. This design preserves privacy, reduces ...
Electronic Design

A Neural-Network-Based Approach to Smarter DPD Engines

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Frontiers

A machine learning model for predicting postoperative complication risk in young and middle-aged patients with femoral neck fractures

Objective: Femoral neck fractures are the most common type of hip fracture, and the postoperative complications associated with these fractures significantly affect patients’ quality of life and ...
IEEE

Machine Learning based Web Deployment for Heart Disease Prediction

Abstract: Heart disease ruins a foremost cause of death worldwide, presenting important challenges for accurate prediction by medical professionals. This study goals to develop a computerized ...