ust Enough Data Science and Machine Learning: Essential Tools and Techniques Authors: Mark Levene and Martyn Harris

Just Enough Data Science and Machine Learning: Essential Tools and Techniques by Mark Levene and Martyn Harris delivers a streamlined, practical introduction to data science and machine learning. Whether you're a curious beginner, a university student, or a professional needing quick insights, this book equips you with "just enough" knowledge to get started and stay effective in real-world scenarios.

Instead of overwhelming readers with mathematical abstractions, the authors focus on the essential components—explaining tools, algorithms, and techniques through clear examples and well-structured chapters. Topics include data visualization, statistical modeling, supervised and unsupervised learning, deep learning basics, and practical project-building tips.

You'll learn:

How to prepare and clean data for analysis

Key concepts in regression, classification, and clustering

Introductory deep learning models and applications

Best practices for data science workflows using Python-based tools

Ethical considerations and responsible AI development

Packed with real-world cases and bite-sized theory, it’s perfect for those who want quick wins without compromising depth. It’s also a great teaching tool for educators building courses that introduce AI and analytics in an accessible way.