Modern Data Mining with Python : A risk-managed approach to developing and deploying explainable and efficient algorithms using ModelOps
Book Details
Format
Paperback / Softback
ISBN-10
9355519141
ISBN-13
9789355519146
Publisher
BPB Publications
Imprint
BPB Publications
Country of Manufacture
IN
Country of Publication
GB
Publication Date
Jan 16th, 2024
Print length
438 Pages
Weight
714 grams
Dimensions
20.00 x 23.70 x 2.10 cms
Product Classification:
Artificial intelligence
Ksh 6,300.00
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Accessible, and case-based exploration of the most effective data mining techniques in Python. Actionable insights on modeling techniques, deployment technologies, business needs, and the art of data science, for risk mitigation and better business outcomes.
"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.
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