Interpretable Machine Learning with Python
Idioma: inglés
Editorial: Packt Publishing, 2023
- Tapa blanda
- Nuevo
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Vendedor de AbeBooks desde el 7 de abril de 2005
Condición: Nuevo
EUR 61,26
Cantidad disponible: Más de 20 disponibles
Añadir al carritoDescripción del artículo del vendedor
New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
N° de ref. del artículo L0-9781803235424
- Título
- Interpretable Machine Learning with Python
- Autor
- Serg Mas?s
- Editorial
- Packt Publishing
- Año de publicación
- 2023
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 10
- 180323542X
- ISBN 13
- 9781803235424
- Edición
- 2ª Edición
- Peso del artículo
- 224 gramos
A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and causal inference, to build fairer, safer, and more reliable models.
Purchase of the print or Kindle book includes a free eBook in PDF format.
Key Features
- Interpret real-world data, including cardiovascular disease data and the COMPAS recidivism scores
- Build your interpretability toolkit with global, local, model-agnostic, and model-specific methods
- Analyze and extract insights from complex models from CNNs to BERT to time series models
Book Description
Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models.
Build your interpretability toolkit with several use cases, from flight delay prediction to waste classification to COMPAS risk assessment scores. This book is full of useful techniques, introducing them to the right use case. Learn traditional methods, such as feature importance and partial dependence plots to integrated gradients for NLP interpretations and gradient-based attribution methods, such as saliency maps.
In addition to the step-by-step code, you’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability.
By the end of the book, you’ll be confident in tackling interpretability challenges with black-box models using tabular, language, image, and time series data.
What you will learn
- Progress from basic to advanced techniques, such as causal inference and quantifying uncertainty
- Build your skillset from analyzing linear and logistic models to complex ones, such as CatBoost, CNNs, and NLP transformers
- Use monotonic and interaction constraints to make fairer and safer models
- Understand how to mitigate the influence of bias in datasets
- Leverage sensitivity analysis factor prioritization and factor fixing for any model
- Discover how to make models more reliable with adversarial robustness
Who this book is for
This book is for data scientists, machine learning developers, machine learning engineers, MLOps engineers, and data stewards who have an increasingly critical responsibility to explain how the artificial intelligence systems they develop work, their impact 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 good grasp of the Python programming language is needed to implement the examples.
Table of Contents
- Interpretation, Interpretability and Explainability; and why does it all matter?
- Key Concepts of Interpretability
- Interpretation Challenges
- Global Model-agnostic Interpretation Methods
- Local Model-agnostic Interpretation Methods
- Anchors and Counterfactual Explanations
- Visualizing Convolutional Neural Networks
- Interpreting NLP Transformers
- Interpretation Methods for Multivariate Forecasting and Sensitivity Analysis
- Feature Selection and Engineering for Interpretability
- Bias Mitigation and Causal Inference Methods
- Monotonic Constraints and Model Tuning for Interpretability
- Adversarial Robustness
- What's Next for Machine Learning Interpretability?
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. Currently, he's a climate and agronomic data scientist at Syngenta, a leading agribusiness company with a mission to improve global food security. Before that role, he co-founded a start-up, incubated by Harvard Innovation Labs, that combined the power of cloud computing and machine learning with principles in decision-making science to expose users to new places and events. Whether it pertains to leisure activities, plant diseases, or customer lifetime value, Serg is passionate about providing the often-missing link between data and decision-making—and machine learning interpretation helps bridge this gap robustly.
“Acerca de” puede pertenecer a otra edición de este título.
PBShop.store US
Wood Dale, IL, Estados Unidos de America
Vendedor de AbeBooks desde el 7 de abril de 2005
Tarifas de envío en Estados Unidos de America
| Artículo | De 7 a 14 días hábiles | De 7 a 14 días hábiles |
|---|---|---|
| Primer artículo | EUR 0,00 | EUR 0,00 |
Métodos de pago
Descripción de la tienda
We first started out as “The Paperback Exchange,” a chain of physical bookstores where we would part exchange your beloved books for new stories to transport you to faraway places. However, as shopping started to evolve to online shops and marketplaces, we bid our stores goodbye to become “PBShop.” This transition has only allowed us to blossom as we now ship thousands of titles to book lovers across the globe. We pride ourselves in being a community of local book lovers which allows our passion and devotion to shine in everything we do. In 2020 we not only celebrated our 20th birthday but our 1st birthday as being completely employee owned after becoming an E.O.T in September 2019. We are proud to be different and embrace standing apart on a book mountain by working from a virtual inventory which allows us to provide thousands of books that may be difficult to get for your bookshelf or your studies. Working with a number of different suppliers allows us to explore other avenues such as puzzles, sheet music and even stationery so we really do have something for everyone. Life is about being versatile in all realms of existence. If this is your first visit or you are a returning customer, we would like to welcome you to the PBShop family, for there is no friend as loyal as a book. We are a company who put our customers at the centre of everything we do as we understand the importance of reading because once you learn to read, you will forever be free. There are a whole lot of things in this world of ours that we are yet to explore, which is why we will forever inspire curious minds.…
Especialidad
Hardbacks, PaperbacksInformación empresarial del vendedor
Pbshop.co.uk Ltd
Unit 22 Horcott Industrial Estate, Horcott Road
Fairford, Reino Unido GL7 4BX
Condiciones de venta
Returns Policy
We ask all customers to contact us for authorisation should they wish to return their order. Orders returned without authorisation may not be credited.
If you wish to return, please contact us within 14 days of receiving your order to obtain authorisation.
Returns requested beyond this time will not be authorised.
Our team will provide full instructions on how to return your order and once received our returns department will process your refund.
Please note the cost to return any unwanted order to us is borne by the buyer.
Should your order arrive damaged, not as advertised or faulty, we must be advised of this within 14 days of delivery. Please contact us so we can find the best solution for you.
Our Customer Care Team can be contacted via emailing paperback-us@paperbackshop.co.uk, or by calling our UK Office on +441285 712 917. We are available 9:00am till 5:30pm GMT weekdays and 9:00am till 1:00pm GMT on Saturdays.
Derecho al desistimiento
Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona física que actúe con fines ajenos a su actividad comercial, empresarial, oficio o profesión.
Información sobre el derecho de desistimiento
Derecho legal de desistimiento
Tiene derecho a rescindir este contrato en un plazo de 14 días sin dar ningún motivo.
El periodo de desistimiento vencerá a los 14 días desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesión física del último bien o del último lote o pieza.
Para ejercer el derecho de desistimiento, complete de forma electrónica y envíe una declaración clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a través de un soporte duradero (por ejemplo, por correo electrónico).
Para cumplir con el plazo de desistimiento, basta con que envíe su comunicación relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.
Efectos del desistimiento
Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de envío (excepto los gastos adicionales que surjan si elige un tipo de envío que no sea el tipo de envío estándar más económico que ofrecemos).
Podemos hacer una deducción del reembolso por la pérdida de valor de cualquier bien suministrado, si la pérdida es el resultado de una manipulación innecesaria por su parte.
Efectuaremos el reembolso sin demoras indebidas y, a más tardar, 14 días después de que se nos informe de su decisión de rescindir este contrato.
Efectuaremos el reembolso utilizando el mismo medio de pago que utilizó para la transacción inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrirá en ningún cargo como resultado de dicho reembolso.
Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.
Deberá devolver los bienes o entregarlos a PBShop.store US, Springfield Gardens, New York, U.S.A., +44 1285 712917, sin demoras indebidas y, en cualquier caso, en un plazo máximo de 14 días a partir del día en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercancía antes de que venza el periodo de 14 días. Tendrá que asumir los gastos directos de devolución de los bienes. Usted solo es responsable de la disminución del valor de los bienes como resultado de una manipulación distinta a la necesaria para establecer la naturaleza, las características y el funcionamiento de los bienes.
Excepciones al derecho de desistimiento
El derecho de desistimiento no se aplica a lo siguiente:
- La entrega de periódicos, diarios o revistas, con la excepción de los contratos de suscripción; y
- El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, aceptó que podíamos empezar a entregarlo y que no podría desistir una vez iniciada la entrega.
Condiciones de envío
Books are shipped from our US or UK warehouses. Delivery estimates allow for delivery from either location.