Kumar Machine Learning Quick Reference

Quick and essential machine learning hacks for training smart data models
1. Auflage 2024
ISBN: 978-1-78883-161-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 294 Seiten

No detailed description available for "Machine Learning Quick Reference".

Autoren/Hrsg.

Kumar, Rahul

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Quantifying Learning Algorithms
- Evaluating Kernel Learning

- Performance in Ensemble Learning

- Training Neural Networks

- Time-Series Analysis

- Natural Language Processing

- Temporal and Sequential Pattern Discovery
- Probabilistic Graphical Models

- Selected Topics in Deep Learning

- Causal Inference

- Advanced Methods

Über Autor(innen)

Kumar Rahul :

Rahul Kumar has got more than 10 years of experience in the space of Data Science and Artificial Intelligence. His expertise lies in the machine learning and deep learning arena. He is known to be a seasoned professional in the area of Business Consulting and Business Problem Solving, fuelled by his proficiency in machine learning and deep learning. He has been associated with organizations such as Mercedes-Benz Research and Development (India), Fidelity Investments, Royal Bank of Scotland among others. He has accumulated a diverse exposure through industries like BFSI, telecom and automobile. Rahul has also got papers published in IIM and IISc Journals.