Machine Learning

Designing Machine Learning Systems : An Iterative Process for Production-Ready Applications

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Embedded Analytics : Integrating Analysis with the Business Workflow

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Probabilistic Machine Learning for Finance and Investing : A Primer to the Next Generation of AI with Python

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Practical Linear Algebra for Data Science : From Core Concepts to Applications Using Python

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Reliable Machine Learning : Applying SRE Principles to ML in Production

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Applied Machine Learning and AI for Engineers : Solve Business Problems That Can't Be Solved Algorithmically

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Practicing Trustworthy Machine Learning : Consistent, Transparent, and Fair AI Pipelines

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Scaling Machine Learning with Spark : Distributed ML with MLlib, TensorFlow, and PyTorch

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Building Knowledge Graphs : A Practitioner's Guide

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