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Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically,
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Training Data for Machine Learning: Human Supervision from Annotation to Data Science, Anthony Sarkis
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Continuous Delivery in Java: Essential Tools and Best Practices for Deploying Code to Production, Daniel
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Kubeflow Operations Guide: Managing Cloud and On-Premise Deployment, Josh Patterson, Michael Katzenellenbogen,
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Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (NLP)
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Reliable Machine Learning: Applying SRE Principles to ML in Production, Cathy Chen, Niall Murphy, Kranti
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Architecting IoT Solutions on Azure: Conquering Complexity for Scalable Device and Data Management, Blaize
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Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research
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Bash Idioms: Write Powerful, Flexible, Readable Shell Scripts, Carl Albing, JP Vossen
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Embedded Analytics: Integrating Analysis with the Business Workflow, Donald Farmer, Jim Horbury
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Puppet Best Practices: Design Patterns for Maintainable Code, Chris Barbour, Jo Rhett
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Head First Python: A Learner's Guide to the Fundamentals of Python Programming, A Brain-Friendly Guide 3rd
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A Functional Approach to Java: Augmenting Object-Oriented Java Code with Functional Principles, Ben Weidig
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Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More,
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