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World of Business with Data and Analytics (2022)

Contributor(s): Sharma, Neha (Editor), Bhatavdekar, Mandar (Editor)

ISBN: 9789811956881

Publisher: Springer

Hardcover
$109.99
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Pub Date: September 29, 2022

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.56" H x 9.21" L x 6.14" W ( 1.07 lbs) 201 pages

Series: Studies in Autonomic, Data-Driven and Industrial Computing

Descriptions, Reviews, etc.

Description: Chapter 1. Dynamic Demand Planning for Distorted Historical Data Due to Pandemic.- Chapter 2. Cognitive Models to Predict Pipeline Leaks and Ruptures.- Chapter 3. Network Optimization of the Electricity Grid to manage Distributed Energy Resources using Data & Analytics.- Chapter 4. Enhancing Market Agility Through Accurate Price Indicators using Contextualized Data Analytics.- Chapter 5. Infrastructure for Automated Surface Damage Classification and Detection in Production industries using ResUNet based Deep Learning Architecture.- Chapter 6. Cardiac Arrhythmias Classification & Detection for Medical Industry Using Wavelet Transformation & Probabilistic Neural Network Architecture.- Chapter 7. Investor Behavior towards Mutual Fund.- Chapter 8. iMask - An Artificial Intelligence Based Redaction Engine.- Chapter 9. Artificial Intelligence for Proactive Vulnerability Prediction and interpretability using Occlusion.- Chapter 10. Intrusion Detection System using Signature based Detection and Data Mining Technique. Chapter 11. Cloud Cost Intelligence using Machine Learning.- Chapter 12. Mining deeper Insights using Unsupervised NLP.- Chapter 13. Explainable AI for ML OPS.

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