Provides an updated explanation of simulating, conceptualizing, and visualizing random statistical processes, along with the application of machine learning methods.
The new edition aligns with Python version 3.7 and engages with key open-source Python communities and modules, highlighting the latest developments in the field.
Introduces probability, statistics, and machine learning concepts through an intuitive visual approach, complemented by corresponding visualization codes.
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See also
- Software Exorcism: A Handbook for Debugging and Optimizing Legacy Code by Bill Blunden (2003)
- Hormones and the Endocrine System: Textbook of Endocrinology by Bernhard Kleine (2016)
- Genetics: A Conceptual Approach 6e by Benjamin A. Pierce (2017)
- A Functional Approach to Java by Ben Weidig (2022)
- Calculus of variations and optimal control by Amol Sasan (2005)