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Automated Machine Learning with AutoKeras

You're reading from Automated Machine Learning with AutoKeras

Product type Book

Published in May 2021

Publisher Packt

ISBN-13 9781800567641

Pages 194 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Luis Sobrecueva

Table of Contents (15) Chapters

Preface

Section 1: AutoML Fundamentals

Chapter 1: Introduction to Automated Machine Learning

Chapter 2: Getting Started with AutoKeras

Chapter 3: Automating the Machine Learning Pipeline with AutoKeras

Section 2: AutoKeras in Practice

Chapter 4: Image Classification and Regression Using AutoKeras

Chapter 5: Text Classification and Regression Using AutoKeras

Chapter 6: Working with Structured Data Using AutoKeras

Chapter 7: Sentiment Analysis Using AutoKeras

Chapter 8: Topic Classification Using AutoKeras

Section 3: Advanced AutoKeras

Chapter 9: Working with Multimodal and Multitasking Data

Chapter 10: Exporting and Visualizing the Models

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Further reading

Bayes' theorem: https://towardsdatascience.com/bayes-theorem-the-holy-grail-of-data-science-55d93315defb
The exploration versus exploitation dilemma: https://towardsdatascience.com/intuition-exploration-vs-exploitation-c645a1d37c7a
Multiarmed bandit: https://homes.di.unimi.it/~cesabian/Pubblicazioni/ml-02.pdf
AmoebaNet: https://arxiv.org/abs/1802.01548
ENAS: https://arxiv.org/abs/1802.03268
Evaluation and comparison of AutoML approaches and tools: https://arxiv.org/pdf/1908.05557.pdf

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Automated Machine Learning with AutoKeras

Published in: May 2021 Publisher: Packt ISBN-13: 9781800567641

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Authors (1)

Luis Sobrecueva

Luis Sobrecueva is a senior software engineer and ML/DL practitioner currently working at Cabify. He has been a contributor to the OpenAI project as well as one of the contributors to the AutoKeras project.

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