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 experienced engineer in the field of machine learning with proven achievements in creating and optimizing reliable ML systems for various industries. He currently holds the position of Senior Staff Machine Learning Engineer at Instrumental. A holder of the Kaggle Master title, he is a recognized expert in competitive machine learning. He actively shares his knowledge as a public speaker on topics related to AI and ML. In addition to his engineering activities, Arseniy advises venture funds and early-stage startups as an advisor on artificial intelligence and machine learning issues.
Valerii Babushkin
Valeriy Babushkin is a recognized expert and leader in the field of Data Science with extensive experience in the technology industry. He currently holds the position of Senior Principal at BP, where he leads data-driven initiatives. Previously, Valeriy held key roles at leading companies such as Facebook, Alibaba, and Blockchain.com. He is a Kaggle Grandmaster, ranked among the top 30 participants in the world, which attests to his high level of professionalism and deep expertise in data analysis.
Books
Read Book Machine Learning System Design
| # | Title |
|---|---|
| 1 | Machine Learning System Design |