Overview  GitHub repositories provide hands-on learning of real-world MLOps workflows.Tools like MLflow, Kubeflow, and DVC show how scaling and tracking wo ...

We’ve put together a guide that breaks down the basics, from what Python is all about to how you can actually start using it.

Suppose you want to train a text summarizer or an image classifier. Without using Gradio, you would need to build the front end, write back-end code, find a hosting platform, and connect all parts, ...

A python tutor offers personalized learning, adapting to your current skill level and learning pace. Finding the right python ...

Abstract: The design automation community has been actively exploring machine learning (ML) for very-large-scale-integrated (VLSI) computer-aided design (CAD). Many studies have explored ...

This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

Abstract: Neural network models of machine learning have shown promising prospects for visual tasks, such as facial emotion recognition (FER). However, the generalization of the model trained from a ...

An open-source Python library for Data Scientists & Data Analysts designed to simplify the exploratory data analysis process. Using Edvart, you can explore data sets and generate reports with minimal ...

Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

An extensive survey of around 30,000 developers has revealed Python is still a preferred language for many programmers, with ...