Description: Further DetailsTitle: Interpretable Machine Learning with PythonCondition: NewSubtitle: Learn to build interpretable high-performance models with hands-on real-world examplesEAN: 9781800203907ISBN: 9781800203907Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 03/26/2021Description: A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable modelsKey FeaturesLearn how to extract easy-to-understand insights from any machine learning modelBecome well-versed with interpretability techniques to build fairer, safer, and more reliable modelsMitigate risks in AI systems before they have broader implications by learning how to debug black-box modelsBook DescriptionDo you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf.We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining.By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning.What you will learnRecognize the importance of interpretability in businessStudy models that are intrinsically interpretable such as linear models, decision trees, and Naïve BayesBecome well-versed in interpreting models with model-agnostic methodsVisualize how an image classifier works and what it learnsUnderstand how to mitigate the influence of bias in datasetsDiscover how to make models more reliable with adversarial robustnessUse monotonic constraints to make fairer and safer modelsWho this book is forThis book is primarily written for data scientists, machine learning developers, and data stewards who find themselves under increasing pressures to explain the workings of AI systems, their impacts on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a solid grasp on the Python programming language and ML fundamentals is needed to follow along.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmGenre: Computing & InternetISBN-10: 180020390XAuthor: Serg MasísRelease Year: 2021 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Interpretable Machine Learning with Python
Title: Interpretable Machine Learning with Python
Subtitle: Learn to build interpretable high-performance models with hands-o
EAN: 9781800203907
ISBN: 9781800203907
Release Date: 03/26/2021
Release Year: 2021
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 180020390X
Number of Pages: 736 Pages
Language: English
Publication Name: Interpretable Machine Learning with Python : Learn to Build Interpretable High-Performance Models with Hands-on Real-world Examples
Publisher: Packt Publishing, The Limited
Publication Year: 2021
Subject: Expert Systems, Computer Simulation, Neural Networks
Type: Textbook
Author: Serg Masís
Subject Area: Computers
Item Length: 92.5 in
Item Width: 75 in
Format: Trade Paperback
