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Building Scalable and Reliable Machine Learning Systems - Arseny Kravchenko
MP3•Laman utama episod
Manage episode 363167858 series 2831626
Kandungan disediakan oleh DataTalks.Club. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh DataTalks.Club atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
We talked about:
- Arseny's background
- Working on machine learning in startups
- What is Machine Learning System Design?
- Constraints and requirements
- Known unknowns vs unknown unknowns (Design stage)
- Writing a design document
- Technical problems vs product-oriented problems
- The solution part of the Design Document
- What motivated Arseny to write a book on ML System Design
- Examples of a Design Document in the book
- The types of readers for ML System Design
- Working with the co-author
- Reacting to constraints and feedback when writing a book
- Arseny's favorite chapter of the book
- Other resources where you can learn about ML System Design
- Twitter Giveaway
Links:
- Book: https://www.manning.com/books/machine-learning-system-design?utm_source=AGMLBookcamp&utm_medium=affiliate&utm_campaign=book_babushkin_machine_4_25_23&utm_content=twitter
- Discount: poddatatalks21 (35% off)
Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
167 episod
MP3•Laman utama episod
Manage episode 363167858 series 2831626
Kandungan disediakan oleh DataTalks.Club. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh DataTalks.Club atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
We talked about:
- Arseny's background
- Working on machine learning in startups
- What is Machine Learning System Design?
- Constraints and requirements
- Known unknowns vs unknown unknowns (Design stage)
- Writing a design document
- Technical problems vs product-oriented problems
- The solution part of the Design Document
- What motivated Arseny to write a book on ML System Design
- Examples of a Design Document in the book
- The types of readers for ML System Design
- Working with the co-author
- Reacting to constraints and feedback when writing a book
- Arseny's favorite chapter of the book
- Other resources where you can learn about ML System Design
- Twitter Giveaway
Links:
- Book: https://www.manning.com/books/machine-learning-system-design?utm_source=AGMLBookcamp&utm_medium=affiliate&utm_campaign=book_babushkin_machine_4_25_23&utm_content=twitter
- Discount: poddatatalks21 (35% off)
Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
167 episod
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