Description
| Product ID: | 9789355519146 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Modern Data Mining with Python |
| Subtitle: | A risk-managed approach to developing and deploying explainable and efficient algorithms using ModelOps |
| Authors: | Author: Dushyant Singh Sengar, Vikash Chandra |
| Page Count: | 438 |
| Subjects: | Artificial intelligence, Artificial intelligence |
| Description: | Select Guide Rating 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. |
| Imprint Name: | BPB Publications |
| Publisher Name: | BPB Publications |
| Country of Publication: | GB |
| Publishing Date: | 2024-03-26 |