Opening book details…
Can I read Interpretable Machine Learning with Python - Second Edition (Early Access) on EtoBox?
Interpretable Machine Learning with Python - Second Edition (Early Access) by Serg Masis is a nonfiction available to read on EtoBox.
What is Interpretable Machine Learning with Python - Second Edition (Early Access) about?
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 FeaturesExtract easy-to-understand insights from any machine learning modelBecome well-versed with interpretability techniques to build fairer, safer, and more reliable modelsLift the lid on the black box of transformer NLP models to improve your deep learning understandingBook 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, Second Edition is the book for you.You’ll cover the fundamentals of interpretability, its relevance in business, and explore its key aspects and challenges.See how white-box models work, compare them to black-box and glass-box models, and examine their trade-offs. Get 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, tabular data, time-series, images,
Who reads Interpretable Machine Learning with Python - Second Edition (Early Access)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Serg Masis
- Publisher
- Packt Publishing, Limited
- Published
- 2022
- Language
- EN
- ISBN
- 9781803235424
- Category
- nonfiction
- Subjects
- Science, Computer Science, Stem
Other editions & translations
More by Serg Masis
Browse all works by Serg Masis
Similar books
- Interpretable Machine Learning with Python: Learn to Build Interpretable High-performance Models with Hands-on Real-world Examples — Serg Masís; Packt Publishing (2021)
- Python Machine Learning - Second Edition: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow — Vahid Mirjalili Sebastian Raschka (2017)
- Building Machine Learning Systems With Python - Second Edition — Luis Pedro Coelho, Willi Richert (2015)
- Machine Learning Engineering with Python - Second Edition — Andrew P. McMahon (2023)
- Machine Learning with Python Cookbook, 2nd Edition (Second Early Release) — Kyle Gallatin and Chris Albon (2022)
- Time Series Analysis with Python Cookbook, - Second Edition (Early Access) — Tarek A. Atwan (2024)