Python machine learning.pdf

Python machine learning

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Machine Learning with Python Tutorial - Machine Learning (ML) is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as huma Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

8.62 MB Tamaño del archivo
9788426727206 ISBN
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Python machine learning.pdf

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Notas actuales

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Sofi Voighua

2020-7-19 · Python 3 for Machine Learning By 作者: Oswald Campesato Pages 页数: 364 ISBN-13:9781683924951 Language:English Publication Date 出版日期: 2020 ISBN:9781683924951 EAN:9781683924951 The Book Description robot was collected from

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Mattio Mazios

2020-8-19 · 聚类性能评估一、综述二、Rand index(兰德指数)(RI) 、Adjusted Rand index(调整兰德指数)(ARI)三、Silhouette Coefficient(轮廓系数)(s(i))四、建模实例参考文献:一、综述聚类性能度量亦称聚类“有效性指标”(validity index)。与监督学习中的性能度量作用 ... 2020-8-21 · 机器学习资源大全中文版 我想很多程序员应该记得 GitHub 上有一个 Awesome - XXX 系列的资源整理。awesome-machine-learning 就是 josephmisiti 发起维护的机器学习资源列表,内容包括了机器学习领域的框架、库以及软件(按编程语言排序)。 Awesome 系列 ...

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Noe Schulzzo

Jul 28, 2020 ... Libra: A Python Tool That Automates Machine Learning Process in a Few Lines of Code. This python library 'Libra' automates the end-to-end ...

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Jason Statham

Scikit-learn: Machine Learning in Python. Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu ...

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Jessica Kolhmann

Machine Learning with Python. Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. Python Machine Learning is just a great practical book with a lot of actual examples of code. It starts gently and then proceeds to most recent advance in machine learning and deep learning. It’s very easy to read and will appeal to people at any level as the second edition even goes to cover GANs.