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Автор: Kyle Gallatin, Chris Albon
Издательство: O’Reilly Media, Inc.
Год: 2023-05-02
Страниц: 286
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB
This practical guide provides more than 200 self-contained recipes to help you solve Machine Learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks. NumPy is a foundational tool of the Python Machine Learning stack. NumPy allows for efficient operations on the data structures often used in machine learning: vectors, matrices, and tensors. While NumPy is not the focus of this book, it will show up frequently throughout the following chapters. This chapter covers the most common NumPy operations we are likely to run into while working on machine learning workflows.