Top MLops books recommended by experts

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

Table of Contents

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.

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

Machine Learning Engineering with Python: Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples

Machine Learning Engineering with Python: Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples

Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environmentsKey FeaturesExplore hyperparameter optimization and model ...

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

Introducing MLOps

Introducing MLOps

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. ...

Recommended by the experts and mentors at MentorCruise

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

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

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I'm an enthusiastic Data Scientist with a solid foundation in software engineering and statistics. I thrive on solving complex problems with data, and I'm particularly fascinated by MLOps. Above all, I'm passionate about motivating individuals to step out of their comfort zones and achieve personal growth. I'm a Machine learning …

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Passionate about the transformative power of AI, I help top-level executives and high-tech leaders accelerate their cloud-based AI/ML and Generative AI initiatives. With 10+ years of experience across diverse industries, including roles at Google, AWS, DataScientest, Devoteam, and Capgemini, I bring a unique blend of technical expertise and strategic vision …

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During my 5 years of data science experience at General Motors, Royal Bank of Canada and TELUS, I've successfully delivered multi-million dollar data science and automation projects at scale. I have strong knowledge of machine learning, statistics, A/B testing, optimization, time series analysis and distributed computing and I am highly …

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I’m Erik Johannessen, and my passion lies in creating transformative technology ecosystems that drive business growth, efficiency, and scalability. With over 20 years of experience across sectors like Fintech, Retail, Services, Manufacturing, and Government, I’ve led companies through rapid digital transformations, ensuring they stay ahead in today’s fast-paced tech landscape. …

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Ankit's career in the software industry spans over a decade in which he has led teams of software and data science professionals. Currently, he works as a Senior Engineering Manager at Zillow where his team helps craft and build platform technologies, data sets, and features that help Zillow premier agents …

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#Career Path * Started as an intern at Tinkoff Bank – best IT bank in Russia, progressed to a Middle+ engineer at Microsoft (currently working at Microsoft Bing, improving the shopping segment search experience through ML/DL) * Worked as an ML Engineer at Microsoft, Yandex (Russian tech giant), X5 Retail …

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  • "Naz is an amazing person and a wonderful mentor. She is supportive and knowledgeable with extensive practical experience. Having been a manager at Netflix, she also knows a ton about working with teams at scale. Highly recommended."

  • "Brandon has been supporting me with a software engineering job hunt and has provided amazing value with his industry knowledge, tips unique to my situation and support as I prepared for my interviews and applications."

  • "Sandrina helped me improve as an engineer. Looking back, I took a huge step, beyond my expectations."