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Mastering machine learning with Pyth...

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Mastering machine learning with Python in six stepsa practical Implementation guide to predictive data analytics using Python /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mastering machine learning with Python in six stepsby Manohar Swamynathan.
其他題名:	a practical Implementation guide to predictive data analytics using Python /
作者:	Swamynathan, Manohar.
出版者:	Berkeley, CA :Apress :2017.
面頁冊數:	xxi, 358 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Python (Computer program language)
電子資源:	http://dx.doi.org/10.1007/978-1-4842-2866-1
ISBN:	9781484228661$q(electronic bk.)

Mastering machine learning with Python in six stepsa practical Implementation guide to predictive data analytics using Python /
Swamynathan, Manohar.

Mastering machine learning with Python in six stepsa practical Implementation guide to predictive data analytics using Python /[electronic resource] :by Manohar Swamynathan. - Berkeley, CA :Apress :2017. - xxi, 358 p. :ill., digital ;24 cm.

Chapter 1: Getting Started in Python -- Chapter 2: Introduction to Machine Learning -- Chapter 3: Fundamentals of Machine Learning -- Chapter 4: Model Diagnosis and Tuning -- Chapter 5: Text Mining -- Chapter 6: Demystifying Neural Network -- Chapter 7: Conclusion.

Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. This book's approach is based on the "Six degrees of separation" theory, which states that everyone and everything is a maximum of six steps away. Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical concepts and practical implementation using suitable Python packages. You'll learn the fundamentals of Python programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as feature dimension reduction, regression, time series forecasting and their efficient implementation in Scikit-learn are also covered. Finally, you'll explore advanced text mining techniques, neural networks and deep learning techniques, and their implementation. All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage.

ISBN: 9781484228661$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-2866-1doiSubjects--Topical Terms:

215247
Python (Computer program language)

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

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