Andreas C. Müller, Sarah Guido Books
Andreas C. Müller is a machine learning researcher and core developer of scikit-learn.
Known for: Introduction to Machine Learning with Python: A Guide for Data Scientists
Books by Andreas C. Müller, Sarah Guido
Introduction to Machine Learning with Python: A Guide for Data Scientists
This book provides a practical introduction to machine learning using Python and the scikit-learn library. It covers fundamental concepts such as supervised and unsupervised learning, model evaluation, preprocessing, and pipelines. The authors emphasize hands-on examples and real-world applications, making it accessible to data scientists and developers who want to build intelligent systems without deep mathematical background.
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From Concepts to Practice: Understanding Machine Learning and the Role of Python
When newcomers first approach machine learning, the landscape can feel vast and abstract: algorithms, models, data pipelines, metrics—all swirling around in jargon. In our book, I begin by grounding those ideas in an approachable, intuitive foundation. Machine learning, at its heart, is about learni...
From Introduction to Machine Learning with Python: A Guide for Data Scientists
Supervised Learning: Teaching Machines with Labeled Data
Supervised learning is where most journeys into machine learning truly begin. Here, we provide examples—known as labeled data—that pair inputs with desired outputs. The model’s task is to uncover a mapping from inputs to outputs so it can make predictions on unseen examples. Within this domain, two ...
From Introduction to Machine Learning with Python: A Guide for Data Scientists
About Andreas C. Müller, Sarah Guido
Andreas C. Müller is a machine learning researcher and core developer of scikit-learn. Sarah Guido is a data scientist specializing in Python-based data analysis and machine learning applications.
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Andreas C. Müller is a machine learning researcher and core developer of scikit-learn.
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