This practical introduction to statistics written with chemical engineers in mind, emphasizes real-world problem solving. Including over 100 Matlab and Python examples, accompanied by lecture slides, code and solutions for instructors, it is ideal for chemical engineering students keen to advance to courses in data science and machine learning.
This practical introduction to statistics written with chemical engineers in mind, emphasizes real-world problem solving. Including over 100 Matlab and Python examples, accompanied by lecture slides, code and solutions for instructors, it is ideal for chemical engineering students keen to advance to courses in data science and machine learning.