Interpretable Machine Learning

Interpretable Machine Learning
Author :
Publisher : Lulu.com
Total Pages : 320
Release :
ISBN-10 : 9780244768522
ISBN-13 : 0244768528
Rating : 4/5 (528 Downloads)

Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.


Interpretable Machine Learning Related Books

Interpretable Machine Learning
Language: en
Pages: 320
Authors: Christoph Molnar
Categories: Artificial intelligence
Type: BOOK - Published: 2020 - Publisher: Lulu.com

GET EBOOK

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp
Neural Networks and Deep Learning
Language: en
Pages: 497
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2018-08-25 - Publisher: Springer

GET EBOOK

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithm
Neural Networks
Language: en
Pages: 340
Authors: Berndt Müller
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the
Neural Networks with R
Language: en
Pages: 270
Authors: Giuseppe Ciaburro
Categories: Computers
Type: BOOK - Published: 2017-09-27 - Publisher: Packt Publishing Ltd

GET EBOOK

Uncover the power of artificial neural networks by implementing them through R code. About This Book Develop a strong background in neural networks with R, to i
Deep Learning
Language: en
Pages: 801
Authors: Ian Goodfellow
Categories: Computers
Type: BOOK - Published: 2016-11-10 - Publisher: MIT Press

GET EBOOK

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res