Designing Machine Learning Systems

Machine Learning Design Interview: Machi

📁 Machine Learning Design Interview: Machine Learning System Design Interview

✍ Khang Pham 📂 Library 📅 2022 🏛 Independently published 🌐 English

This book provides:<ul><li>End to end design of the most popular Machine Learning system at big tech companies.</li><li>Most common Machine Learning Design interview questions at big tech companies (Facebook, Apple, Amazon, Google, Uber, LinkedIn)</

Machine Learning Design Interview: Machi

📁 Machine Learning Design Interview: Machine Learning System Design Interview

✍ Khang Pham 📂 Library 📅 2022 🏛 Independently published 🌐 English

This book provides:<ul><li>End to end design of the most popular Machine Learning system at big tech companies.</li><li>Most common Machine Learning Design interview questions at big tech companies (Facebook, Apple, Amazon, Google, Uber, LinkedIn)</

Designing Machine Learning Systems

📁 Designing Machine Learning Systems

✍ Chip Huyen 📂 Library 📅 2022 🏛 O'Reilly Media, Inc. 🌐 English

Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be

Designing Machine Learning Systems

📁 Designing Machine Learning Systems

✍ Chip Huyen 📂 Library 📅 2022 🏛 O'Reilly Media, Inc. 🌐 English

Many tutorials show you how to develop ML systems from ideation to deployed models. But with constant changes in tooling, those systems can quickly become outdated. Without an intentional design to hold the components together, these systems will become a technical liability, prone to errors and be

Designing Machine Learning Systems with

📁 Designing Machine Learning Systems with Python

✍ David Julian 📂 Library 📅 2016 🏛 Packt Publishing 🌐 English

Machine Learning Systems: Designs That S

📁 Machine Learning Systems: Designs That Scale

✍ Jeff Smith 📂 Library 📅 2017 🏛 Manning Publications 🌐 English

<div>SummaryMachine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app. Foreword by Sean Owen, Director