Introduction to Machine Learning with Python: A Guide for Data Scientists Andreas C. Mueller is a Dutch-language study book aimed at professionals who want to put machine learning into practice. This book covers the application of machine learning with Python and uses the popular scikit-learn library.
It provides a clear introduction to machine learning and describes step by step how you can build your own machine-learning solutions. Key topics include fundamental concepts, model evaluation and parameter tuning methods, the role of pipelines in workflows, and specific techniques for text processing. Knowledge of the NumPy and matplotlib libraries is recommended.
This publication aligns with themes in Web programming, COMPUTERS / Internet / Web Programming and professional programming skills. Introduction to Machine Learning with Python is an indispensable guide for data scientists and developers who want to deepen their skills with Python.