
Designing Machine Learning Systems
An Iterative Process for Production-Ready Applications
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Narrated by:
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Kathleen Li
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By:
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Chip Huyen
About this listen
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 to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.
Author Chip Huyen, cofounder of Claypot AI, considers each design decision—such as how to process and create training data, which features to use, how often to retrain models, and what to monitor—in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.
This book will help you tackle scenarios such as engineering data and choosing the right metrics to solve a business problem; automating the process for continually developing, evaluating, deploying, and updating models; developing a monitoring system to quickly detect and address issues your models might encounter in production; architecting an ML platform that serves across use cases; and developing responsible ML systems.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2022 Huyen Thi Khanh Nguyen (P)2022 Ascent AudioListeners also enjoyed...
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Really hard to follow when everything is see code
- By Senthil Manick on 05-12-25
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Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- By: Joe Reis, Matt Housley
- Narrated by: Adam Verner
- Length: 17 hrs and 31 mins
- Unabridged
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Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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Great for Hands on Business owners
- By LmL on 08-14-24
By: Joe Reis, and others
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Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- By: Alex Petrov
- Narrated by: Mike Chamberlain
- Length: 12 hrs and 51 mins
- Unabridged
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When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
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I can't believe this exists as an audiobook.
- By Michael Marcin on 12-18-23
By: Alex Petrov
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Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- By: Martin Kleppmann
- Narrated by: Benjamin Lange
- Length: 20 hrs and 56 mins
- Unabridged
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Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
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Must read for senior+ software engineers
- By Navid v on 05-29-21
By: Martin Kleppmann
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Software Architecture: The Hard Parts
- Modern Trade-Off Analyses for Distributed Architectures
- By: Neal Ford, Mark Richards, Pramod Sadalage, and others
- Narrated by: Dena Dahilig
- Length: 12 hrs and 53 mins
- Unabridged
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There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.
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Great content. Terrible narration.
- By Alex on 12-16-23
By: Neal Ford, and others
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Deep Learning with Python (Second Edition)
- By: Francois Chollet
- Narrated by: Derek Dysart
- Length: 15 hrs and 1 min
- Unabridged
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Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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Audible version is useless - has no PDF
- By Jim on 03-04-22
By: Francois Chollet
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Fundamentals of Software Architecture
- An Engineering Approach
- By: Mark Richards, Neal Ford
- Narrated by: Benjamin Lange
- Length: 13 hrs and 10 mins
- Unabridged
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This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
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Helpful but business-centric
- By A.N. on 03-25-21
By: Mark Richards, and others
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The Kaggle Book
- Data Analysis and Machine Learning for Competitive Data Science
- By: Konrad Banachewicz, Luca Massaron
- Narrated by: Alex Freeman
- Length: 12 hrs and 29 mins
- Unabridged
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Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond.
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Absolutely disastrous
- By D B B on 05-16-24
By: Konrad Banachewicz, and others
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Mastering the System Design Interview
- Insider tips for your system design interview from a former Amazon hiring manager – plus 6 mock interviews for practice!
- By: Frank Kane
- Narrated by: Virtual Voice
- Length: 4 hrs and 59 mins
- Unabridged
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Ace your next system design interview! Get tips, tricks, and practice interviews with a former hiring manager from Amazon, who interviewed thousands of software engineers and hired hundreds. Frank Kane will share the secrets of what your interviewer is looking for and the technologies you’re expected to know. Practice makes perfect, so you’ll also get six mock system design interviews with real-world interview questions from the biggest tech employers. A technical interview loop is a demanding process, and the system design part is often the most challenging. This course gets you ...
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Very articulate and practical
- By Amazon Customer on 05-21-25
By: Frank Kane