Unlock the power of machine learning for biological research with this comprehensive introductory guide. Designed specifically for biology students, this book bridges the gap between biological studies and the fundamentals of computer science and mathematics. Explore real-world applications of machine learning and artificial intelligence in bioinformatics, systems biology, data analysis, and healthcare diagnostics. With clear explanations, case studies, and practical examples, you'll gain a solid foundation in essential computer-based technologies for modern biology. Key Features: * Introduction to computer systems and programming languages. * Explores machine learning and AI in bioinformatics and systems biology. * Connects concepts to biological data analysis, predictions, and healthcare. * Provides a necessary foundation for advanced computational biology. Product Summary: This textbook, 'A Guide to Applied Machine Learning for Biologists' by Mohammad 'Sufian' Badar, is a first edition hardcover published by Springer Cham on June 22, 2023. It features 262 pages with 4 b/w and 61 color illustrations, offering an English language version of applied machine learning concepts for biology students.