In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

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

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.

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

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

A new book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems. The book’s 14 chapters feature ...

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, ...

Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.

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