Radecic / Radecic Machine Learning Automation with TPOT

Build, validate, and deploy fully automated machine learning models with Python
1. Auflage 2021
ISBN: 978-1-80056-496-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 270 Seiten

No detailed description available for "Machine Learning Automation with TPOT".

Autoren/Hrsg.

Radecic, Dario

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Machine Learning and the Idea of Automation
- Deep dive into TPOT

- Exploring Regression with TPOT
- Exploring Classification with TPOT

- Parallel training with TPOT and Dask
- Getting Started with Deep Learning: Crash Course in Neural Networks
- Neural Network Classifier with TPOT
- TPOT Model Deployment
- Using the Deployed TPOT Model in Production

Über Autor(innen)

Radecic Dario:

Dario Radecic is a full-time data scientist at Neos, in Croatia, a part-time data storyteller at Appsilon, in Poland, and a business owner. Dario has a master's degree in data science and years of experience in data science and machine learning, with an emphasis on automated machine learning. He is also a top writer in artificial intelligence on Medium and the owner of a data science blog called Better Data Science.