Machine Learning Design Patterns
Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
by Valliappa Lakshmanan
Should I read this?
Recommended by 1 source and appears in Machine Learning.
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first triedandproven methods to help engineers tackle problems that frequently crop up during the ML process. These design patterns codify the experience of hund...
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Why recommended
Recommended by 1 source and appears in Machine Learning.
Recommended by notable people
People and public figures who have recommended this book.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
Kirk Borne
“[Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, ModelBuilding, and #MLOps: ——————— #BigData #AI #DataScience #DeepLearning #DataScientists”
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Aurélien GéronHow recommendation signals are reviewed
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.