Top MLops books curated by experts

At MentorCruise, we are all about making the most out of the experience of others. As part of that, we have connected and asked dozens of experts and professionals about their favouriteMLops books – and here are the answers.

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Top MLops books recommended by experts
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Fundamentals of MLops

Understanding the concepts of MLops starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

Practical MLOps

Practical MLOps

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. ...

Recommended by the experts and mentors at MentorCruise.

Building Machine Learning Powered Applications: Going from Idea to Product

Building Machine Learning Powered Applications: Going from Idea to Product

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. ...

Recommended by the experts and mentors at MentorCruise.

Machine Learning Design Patterns

Machine Learning Design Patterns

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. ...

Recommended by the experts and mentors at MentorCruise.

Reliable Machine Learning

Reliable Machine Learning

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. ...

Recommended by the experts and mentors at MentorCruise.

Machine Learning Engineering in Action

Machine Learning Engineering in Action

Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production.In Machine Learning Engineering in Action, ...

Recommended by the experts and mentors at MentorCruise.

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

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

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach t…

Recommended by the experts and mentors at MentorCruise.

Additional MLops Reading

These books are not required for you to learn MLops, but they are highly recommended for you to deepen your knowledge.

Designing Machine Learning Systems

Designing Machine Learning Systems

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. ...

Recommended by the experts and mentors at MentorCruise.

Building Machine Learning Pipelines

Building Machine Learning Pipelines

Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. ...

Recommended by the experts and mentors at MentorCruise.

Practical Mlops: Operationalizing Machine Learning Models

Practical Mlops: Operationalizing Machine Learning Models

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to…

Recommended by the experts and mentors at MentorCruise.

MLOps Engineering at Scale

MLOps Engineering at Scale

Dodge costly and time-consuming infrastructure tasks, and rapidly bring your machine learning models to production with MLOps and pre-built serverless tools!In MLOps Engineering at Scale you will learn: ...

Recommended by the experts and mentors at MentorCruise.

Engineering MLOps: Rapidly Build, Test, and Manage Production-ready Machine Learning Life Cycles at Scale

Engineering MLOps: Rapidly Build, Test, and Manage Production-ready Machine Learning Life Cycles at Scale

Get up and running with machine learning life cycle management and implement MLOps in your organizationKey FeaturesBecome well-versed with MLOps techniques to monitor the quality of machine learning ...

Recommended by the experts and mentors at MentorCruise.

Practical MLOps: Operationalizing Machine Learning Models

Practical MLOps: Operationalizing Machine Learning Models

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to…

Recommended by the experts and mentors at MentorCruise.

Specializations and Deeper MLops Knowledge

You've got your basics in order – time to move on to some advanced and specialized concepts. MLops is evolving every day, these books can help you master it.

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

This LLM book provides practical insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps' best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter Notebooks, f…

Recommended by the experts and mentors at MentorCruise.

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