Introduction to Machine Learning with Python: A Guide for Data Scientists by Andreas C Müller (Author)

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 43722
Number of Pages: 398

Rs.850.00

Rs.1,095.00

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Description

"Introduction to Machine Learning with Python: A Guide for Data Scientists" authored by Andreas C. Müller and Sarah Guido is a comprehensive primer for individuals venturing into the realm of machine learning using Python. With clear explanations and practical examples, this book serves as an invaluable resource for beginners and seasoned data scientists alike. Müller and Guido meticulously guide readers through the fundamental concepts of machine learning, providing a solid foundation for understanding the intricacies of this burgeoning field.

In the first part of the book, readers are introduced to the basic principles of machine learning, including supervised and unsupervised learning techniques. Müller and Guido elucidate key algorithms such as linear regression, decision trees, and support vector machines, accompanied by hands-on examples and code snippets in Python. The authors adeptly navigate through the complexities of data preprocessing, model evaluation, and hyperparameter tuning, equipping readers with the essential tools to tackle real-world machine learning tasks effectively. Whether you're a data science enthusiast looking to delve into machine learning or a seasoned practitioner seeking to enhance your skills, this book offers a comprehensive guide to mastering the art of machine learning with Python.

Key Points:

Clear explanations and practical examples make complex concepts easy to grasp.
Hands-on code snippets in Python facilitate understanding and implementation.
Covers a wide range of fundamental machine learning algorithms and techniques.
Equips readers with essential skills for real-world machine learning applications.

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Writer ✤ Andreas C Müller (Author), Sarah Guido (Author)

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