“Applications of Machine Learning in Analytical Chemistry" is a comprehensive guide for anyone interested in understanding the fundamentals of ML and its application in analytical chemistry. The book is divided into 5 units, starting with ML basic...

“Applications of Machine Learning in Analytical Chemistry" is a comprehensive guide for anyone interested in understanding the fundamentals of ML and its application in analytical chemistry. The book is divided into 5 units, starting with ML basics such as categories, tools, data cleaning, and setup. The 2nd unit covers various ML algorithms such as regression, classification, clustering, ensemble modeling, and deep learning. The 3rd unit is dedicated to ML techniques in chemical product engineering, covering solutions for chemical product engineering issues, and chemical reaction forecasting. The 4th unit focuses on big data and ML for chemistry, discussing compound identification, ML-based synthesis prediction, and electronic drug design. The 5th and final unit discusses biosensors and sensors for the internet of things and intelligent systems, highlighting their potential applications and present limitations. The book is an excellent resource for analytical chemists, data scientists, and anyone interested in exploring the applications of ML in analytical chemistry.