Automated Machine Learning: Methods, Systems, Challenges

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems.

The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself.

Pages : 233 pages
Size : PDF
File type : pdf
Downloads: 9
Created: 2020-08-28
License: CC BY 4.0
Author(s): Frank Hutter, Lars Kotthoff, Joaquin Vanschoren
Automated Machine Learning: Methods, Systems, Challenges

Others Machine learning Tutorials

Interpretable Machine Learning

Python Machine Learning Projects

Understanding Machine Learning: From Theory to Algorithms

Automated Machine Learning

A Brief Introduction to Machine Learning for Engineers

Others related eBooks about Automated Machine Learning: Methods, Systems, Challenges

Git tutorial for professionals

Download free Git tutorial course in PDF, training file in 61 chapters and 195 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

Think Bayes: Bayesian Statistics in Python

If you know how to program with Python and also know a little about probability, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of conti...

HackSpace Magazine: Issue 50

Download free course HackSpace Magazine: Issue 50, pdf file on 116 pages by HackSpace Team....

Automated Machine Learning

This book presents the first comprehensive overview of general methods in Automated Machin..., download free Machine Learning tutorial in PDF (220 pages) created by Frank Hutter ....

The Not So Short Introduction to LaTeX 2e

This book shows you how to begin using LaTeX to create high-quality documents. The book also serves as a handy reference for all LaTeX users. In this completely revised edition, the authors cover the LaTeX2e standard and offer more details, examples, exercises, tips, and tricks. They go beyond the c...

Kubernetes for Full-Stack Developers

Download free course Kubernetes for Full-Stack Developers, pdf file on 637 pages by Jamon Camisso, Hanif Jetha, Katherine Juell....

Microsoft Dynamics NAV Administration

Microsoft Dynamics NAV is an Enterprise Resource Planning (ERP) software product that inte..., download free NAV Administration tutorial in PDF (190 pages) created by Amit Sachdev ....

Power Programming with Mathematica

Mathematica is a feature-rich, high-level programming language which has historically been used by engineers. This book unpacks Mathematica for programmers, building insights into programming style via real world syntax, real world examples, and extensive parallels to other languages....

Tensorflow 2 Tutorial

Download free course Tensorflow 2 Tutorial, pdf file on 66 pages by Ren Zhang....

Scala Succinctly

Download free course Scala Succinctly, pdf file on 110 pages by Chris Rose....