Data Science: Foundations, Systems & AI: A Practical Guide to Statistics, Machine Learning, Deep Learning, Generative AI, MLOps, and Real-World Data S

By Rishu Raj

Master Data Science From Foundations to Modern AI

Data Science: Foundations, Systems & AI is a practical, end-to-end guide designed for learners who want to understand not only data science fundamentals, but also the modern AI systems transforming the industry.

Starting with mathematics, statistics, Python, data preparation, and exploratory analysis, the book progressively moves into machine learning, advanced modeling, deep learning, NLP, foundation models, large language models, generative AI, RAG, AI agents, and production ML systems.

You'll learn how to:

Understand and formulate real-world data problemsWork with Python and data-processing workflowsApply statistics and machine learningBuild and evaluate predictive modelsUnderstand deep learning and transformersWork with NLP and embeddingsBuild LLM and generative-AI applicationsDesign RAG systemsUnderstand AI agents and tool callingDeploy and monitor ML modelsApply MLOps principlesDetect data and model driftDesign production AI systemsPrepare for data-science and ML interviews

• Format: Paperback
• Language: English
• ISBN: B0HFXCBXX8
• ISBN13: 9798193860297
• Release Date: August 2026
• Publisher: Independently Published
• Length: 828 Pages
• Weight: 2.39 lbs.
• Dimensions: 1.6" x 6.0" x 9.0"