A Biologist’s Guide to Artificial Intelligence 1st Edition

Grasp the power of machine learning without leaving the lab bench. A Biologist’s Guide to Artificial Intelligence, 1st Edition by Ambreen Hamadani translates complex AI concepts into clear, actionable guidance tailored for life scientists, researchers, and advanced students.

Curious how AI can accelerate your experiments, improve reproducibility, or reveal hidden patterns in biological data? This book opens with approachable explanations of core ideas—supervised and unsupervised learning, neural networks, model evaluation—then connects them directly to biological problems like genomics, imaging, and high-throughput screening. Practical workflows, case studies, and best-practice advice demystify tool selection, data preprocessing, and validation so you can move from theory to trustworthy results.

Imagine designing smarter experiments, interpreting models with confidence, and collaborating effectively with computational teams. Hamadani emphasizes experimental design, ethical considerations, and common pitfalls, empowering readers to spot overfitting, bias, and misuse of algorithms. The tone balances rigor and accessibility, making advanced topics digestible without sacrificing scientific depth.

Whether you’re in academia, industry, or a clinical research setting—across North America, Europe, Asia, Australia, or beyond—this guide equips you to integrate AI into biological research responsibly and efficiently. A must-have reference for anyone eager to harness data-driven discovery, improve workflow productivity, and stay competitive in an AI-enabled life-science landscape.

Add A Biologist’s Guide to Artificial Intelligence to your collection and start turning biological questions into computationally informed answers. Order today to bridge the gap between biology and AI.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.