A Machine Learning Architect is the bridge between the potential of machine learning, and a good decision about if and where to invest in it.
I'll give you three tips for thinking like a machine learning architect, including:
1) Is machine learning the right way to solve the problem?
2) How do machine learning systems integrate with exiting systems?
3) What is the cost to build and run the ML system over time?
Developing the skill to think like a machine learning architect can be valuable to anyone involved in machine learning systems, not just the machine learning scientist. So If you’re a machine learning professional, a machine learning engineer, a data scientist, an engineering manager, a technical program manager, or even a leader afraid of getting left behind, check this out.
Also you can learn a bunch more from this book, Building Intelligent Systems: [ Ссылка ]
You can also learn more about machine learning design patterns by watching these lectures from my machine learning course:
[ Ссылка ]
[ Ссылка ]
Machine Learning Architect is just one of many possible machine learning jobs. Learn more if you're considering a machine learning career.
Tips for Thinking Like a Machine Learning Architect
Теги
machine learning engineermachine learning careerintelligent systemsmachine learning jobsmachine learning architectshould I use machine learningmachine learning for managersmachine learning for program managersmachine learning for leadersmachine learning problemsmachine learning systems designdesign patterns for machine learningmachine learningmachine learning business applicationsmachine learning useswhat is machine learning
![Галилео | Восстановление кино 🎦 [Film restoration]](https://i.ytimg.com/vi/X0OABLLHq3Y/mqdefault.jpg)
