Machine Learning System Design is a practical guide to designing efficient and reliable machine learning systems. The book covers the entire ML system development cycle: from data collection to release and maintenance, offering a clear step-by-step structure that will aid both beginners and experienced professionals.
Machine Learning System Design
0h 0m 0s
English
Paid
You will learn how to:
- See the big picture in ML system design
- Analyze tasks and choose optimal ML solutions
- Pass interviews on ML system design
- Select metrics and evaluation criteria
- Properly prioritize at different stages of the project
- Work with data issues: collection, error analysis, feature generation
- Avoid common mistakes when developing ML systems
- Design systems that are easy to maintain and develop
About the Technologies
Developing a machine learning system is a complex process requiring knowledge in engineering, data analysis, and model operation. Whether you are creating an ML system from scratch or integrating a model into an existing application, you will work with large volumes of data, set up testing, monitoring, and deployment processes. This book will be your guide in this process.
Features
The book includes practical checklists, examples from real projects, tips for interviews, as well as "campfire tales" - practical stories and observations from the author accumulated over years of experience.
About the Authors
Arseny Kravchenko
Arseniy Kravchenko is an engineer who works with machine learning systems. He has long experience building and improving reliable ML tools for many fields.
He is a Senior Staff Machine Learning Engineer at Instrumental. He also holds the Kaggle Master title, which shows his strong skill in competitive ML.
Arseniy speaks at public events where he shares his work and ideas about AI and machine learning. He also advises venture funds and early‑stage startups on how to use AI and ML in real projects.
Valerii Babushkin
Valeriy Babushkin is a well-known expert in data science. He has long experience in the tech industry. He now works as a Senior Principal at BP, where he leads data projects.
Valeriy held key roles at Facebook, Alibaba, and Blockchain.com. He is also a Kaggle Grandmaster and ranks among the top 30 users in the world. This shows his strong skill in data work and analysis.
Books
Read Book Machine Learning System Design
| # | Title |
|---|---|
| 1 | Machine Learning System Design |