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Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch
book

Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch

by Suman Kalyan Adari, Sridhar Alla
January 2024
Beginner to intermediate
538 pages
12h 18m
English
Apress
Content preview from Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
S. K. Adari, S. AllaBeginning Anomaly Detection Using Python-Based Deep Learninghttps://doi.org/10.1007/979-8-8688-0008-5_2

2. Introduction to Data Science

Suman Kalyan Adari1   and Sridhar Alla2
(1)
Tampa, FL, USA
(2)
Delran, NJ, USA
 

This chapter introduces you to the basic principles of the data science workflow. These concepts will help you prepare your data as necessary to be fed into a machine learning model as well as understand its underlying structure through analysis.

You will learn how to use the libraries Pandas, Numpy, Scikit-Learn, and Matplotlib to load, manipulate, and analyze data. Furthermore, you will learn how to perform data I/O; manipulate, ...

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Publisher Resources

ISBN: 9798868800085Purchase LinkPublisher Website