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Python_Data_Science_Handbook_Essential_Tools_for_Working_with_Data.pdf
19.9 MB
The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g., how can I read this data format into my script? How can I manipulate, transform, and clean this data? How can I visualize this type of data? How can I use this data to gain insight, answer questions, or to build statistical or machine learning models?
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The hundred-page machine learning book by Burkov, Andriy.pdf
21.1 MB
You will enjoy the book if you are:
- a software engineer or a scientist who wants to become a machine learning engineer or a data scientist
- a data scientist trying to stay on the edge of the state-of-the-art and deepen their ML expertise
- a manager who wants to feel confident while talking about AI with engineers and product people
- a curious person looking to find out how machine learning works and maybe build something new
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