Das / Mert Cakmak Hands-On Automated Machine Learning

A beginner's guide to building automated machine learning systems using AutoML and Python
1. Auflage 2018
ISBN: 978-1-78862-228-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 282 Seiten

No detailed description available for "Hands-On Automated Machine Learning".

Autoren/Hrsg.

Das, Sibanjan

Mert Cakmak, Umit

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 - Introduction to AutoML
- Introduction to Machine Learning Using Python

- Data Preprocessing
- Automated Algorithm Selection
- Hyperparameter Optimization
- Creating AutoML pipelines
- Dive into Deep Learning

- Critical Aspects of ML and Data Science Projects

Über Autor(innen)

Das Sibanjan:

Sibanjan Das is a Business Analytics and Data Science consultant. He has extensive experience in implementing predictive analytics solutions in Business Systems and IoT. An enthusiastic and passionate professional about technology and innovation, he has the passion for wrangling with data since early days of his career. Sibanjan holds a Masters IT degree with major in Business Analytics from Singapore Management University and holds several industry certifications such as OCA, OCP and CSCMS.Mert Cakmak Umit:

Umit Mert Cakmak is a data scientist at IBM, where he excels at helping clients solve complex data science problems, from inception to delivery of deployable assets. His research spans multiple disciplines beyond his industry and he likes sharing his insights at conferences, universities, and meet-ups.