Curate a contemporary, credible, and vast collection of S.T.E.M. textbooks for optimal performance. Organize these resources into three levels: novice, intermediate, and advanced.

Certainly! Below is a curated collection of contemporary and credible S.T.E.M. (Science, Technology, Engineering, Mathematics) textbooks organized into three levels: novice, intermediate, and advanced. This selection aims to cater to a wide range of learners, from beginners to advanced practitioners. ### Novice Level 1. **"What Is Science?" by Rebecca L. Johnson** - Explores the basics of scientific inquiry, the scientific method, and various disciplines in science. 2. **"Elementary Algebra" by Marvin L. Bittinger** - A foundational mathematics textbook covering basic algebraic principles and problem-solving techniques. 3. **"Mathematics for Technology" by Robert A. Carman and Allan D. Riddell** - Introduces mathematics concepts needed in technology fields with practical application examples. 4. **"Introduction to Engineering" by Paul H. Wright** - A beginner-friendly introduction to the various fields of engineering and the roles engineers play. 5. **"Chemistry: Concepts and Applications" by Glencoe McGraw-Hill** - This textbook provides an accessible approach to chemistry concepts with everyday applications and real-world examples. ### Intermediate Level 1. **"Statistics for Engineering and Science" by William Mendenhall, Terry Beaver, and Barbara Beaver** - A practical guide to statistical concepts and techniques specifically for engineering and scientific applications. 2. **"Calculus: Early Transcendentals" by James Stewart** - A widely used calculus textbook that provides a clear and thorough treatment of calculus concepts and applications. 3. **"Physics: Principles with Applications" by Douglas C. Giancoli** - Offers an engaging approach to physics tailored for students pursuing studies in engineering and related fields. 4. **"Introduction to Computer Science Using Python" by Charles Dierbach** - A comprehensive introduction to programming and computer science concepts using Python, suitable for those with a basic understanding of programming. 5. **"Introduction to Probability and Statistics" by William Mendenhall, Robert J. Beaver, and Barbara Beaver** - Covers essential concepts in probability and statistics with applications in engineering and science. ### Advanced Level 1. **"Linear Algebra and Its Applications" by David C. Lay** - An in-depth exploration of linear algebra concepts and their practical applications in various fields. 2. **"Principles of Physics" by David Halliday, Robert Resnick, and Jearl Walker** - A rigorous and comprehensive text that covers a wide range of physics topics, including classical mechanics and electromagnetism. 3. **"Mathematical Methods for Physics and Engineering" by Riley, Hobson, and Bence** - An advanced textbook that covers mathematical methods necessary for solving problems in physics and engineering. 4. **"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig** - An exhaustive resource covering theories and practices in artificial intelligence and machine learning. 5. **"Chemical Engineering Design: Principles, Practices, and Economics of Plant and Process Design" by Gavin Towler and Ray Sinnott** - A detailed guide to chemical engineering design principles, focusing on economic and practical aspects of the field. 6. **"Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman** - A comprehensive resource on statistical modeling and machine learning techniques, often regarded as essential reading for advanced practitioners in the field. These textbooks represent a well-rounded selection across various S.T.E.M. disciplines and are suitable for students, educators, and professionals seeking to deepen their knowledge and skills.