Treffer: What every engineer should know about data-driven analytics
Titel:
What every engineer should know about data-driven analytics / Satish Mahadevan Srinivasan, Phillip A. Laplante
Ausgabe:
1st
Veröffentlicht:
Boca Raton : CRC Press, 2023
Vertrieb:
Sebastopol, CA : O'Reilly Media Inc.
Umfang:
1 Online-Ressource (260 pages) : illustrations (black and white)
Publikationstyp:
Sprache:
Englisch
Schriftenreihe/Mehrbändiges Werk:
What Every Engineer Should Know
ISSN
ISSN
Anmerkungen:
1. Data Collection and Cleaning. 2. Mathematical Background for Predictive Analytics. 3. Introduction to Statistics, Probability, and Information Theory for Analytics. 4. Introduction to Machine Learning. 5. Unsupervised Learning. 6. Supervised Learning. 7. Natural Language Processing for Analyzing Unstructured Data. 8. Predictive Analytics Using Deep Neural Networks. 9. Convolutional Neural Networks (CNN) for Predictive Analytics. 10. Recurrent Neural Networks (RNNs) for Predictive Analytics. 11. Recommender Systems for Predictive Analytics. 12. Architecting Big Data Analytical Pipeline
ISBN:
9781000859720 ; 100085972X ; 9781000859690 ; 100085969X ; 9781032235431 (Sekundärausgabe)