Modern Data Mining With Python

Modern Data Mining With Python A Risk-Managed Approach to Developing and Deploying Explainable and Efficient Algorithms Using ModelOps

Paperback (26 Mar 2024)

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Publisher's Synopsis

"Modern Data Mining with Python" is a guidebook for responsibly implementing data mining techniques that involve collecting, storing, and analyzing large amounts of structured and unstructured data to extract useful insights and patterns. Enter into the world of data mining and machine learning. Use insights from various data sources, from social media to credit card transactions. Master statistical tools, explore data trends, and patterns. Understand decision trees and artificial neural networks (ANNs). Manage high-dimensional data with dimensionality reduction. Explore binary classification with logistic regression. Spot concealed patterns with unsupervised learning. Analyze text with recurrent neural networks (RNNs) and visuals with convolutional neural networks (CNNs). Ensure model compliance with regulatory standards.

Book information

ISBN: 9789355519146
Publisher: BPB Publications
Imprint: BPB Publications
Pub date:
Language: English
Number of pages: 438
Weight: 714g
Height: 200mm
Width: 237mm
Spine width: 21mm