链接:pan.baidu.Com/s/1L2vHT_59NP9CY_gnKIL7jA?pwd=xgyq 提取码:xgyq Introduction to Machine Learning with Python : A Guide for Data Scientists Sarah Guido、Andreas C. Mueller
“Introduction to Machine Learning with Python” by Andreas C. Müller and Sarah Guido
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Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning...
One of the main advantages of using Python is the ability to interact directly with the code, using a terminal or other tools like the Jupyter Notebook, which we’ll look at shortly. Machine learning and data analysis are fundamentally iterative processes, in which the data drives the ...
Earlier in this book, we mentioned that one reason to learn Python is its popularity in the scientific computing and machine learning communities. This chapter introduces machine learning by demonstrating how to build a classifier from first principles. The lab section then introduces a set of ...
Chapter 4. Representing Data and Engineering Features So far, we’ve assumed that our data comes in as a two-dimensional array of floating-point numbers, where each column is a continuous feature … - Selection from Introduction to Machine Learning with
2022年1月13日21:04 最新动态: Коллеги! Сегодня, 10 октября 2022, исполняется 10 лет.. Introduction to Machine Learning with Python. A Guide for Data Scientists (Müller) 1 ed (2016).pdf ...
本教程原⽂ 分为两个部分,机器之⼼在本⽂中将其进⾏了整合,原⽂可参阅:7 Steps to Mastering Machine Learning With Python 和 7 More Steps to Mastering Machine Learning With Python。本教程的作者为 KDnuggets 副主编兼数据科学家 Matthew Mayo。 「开始」往往是最难的,尤其是当选择太多的时候,...
.github/workflows data mglearn tests .gitignore MANIFEST.in Readme.md setup.cfg setup.py Repository files navigation README Helper functions for the book "Introduction to Machine Learning with Python" This is themglearnpackage used in the book, which you can also find in theaccompanying repository...