Core AI Foundations and Data Engineering Essentials,

Synopsis

Authored by Vikram Singh Sankhala, "Core Machine Learning Foundations" is a comprehensive guide designed to bridge the critical gap between machine learning theory and real-world application. This book is meticulously crafted for beginners to intermediate learners with programming experience and practitioners seeking to deepen their practical skills. It provides a robust foundation starting with essential data engineering concepts like ETL/ELT pipelines, validation, and scalable storage, progressing through supervised and unsupervised learning fundamentals with hands-on Scikit-learn implementations using real datasets. The core objective is to empower readers to not only understand algorithms but confidently build, train, and deploy them.