This post was for 09.02.2022 to 15.02.2022
I have finished the book Practical MLOps: Operationalizing Machine Learning Models, written by Noah Gift.
https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017/
For me, this book has given me a comprehensive understanding of operating ML systems in general, with real-world use cases and sample code. Few sections I had skipped because those chapters are designed for specific cloud services that I have not planned to use in the near future.
However, the interesting point is, this book also has a lot of appendixes that made me feel excited. To have a successful career and a balanced lifestyle, technical knowledge with a 9-to-5 job is not enough. You have to know about how to grow yourself in terms of hard skills and soft skills: how to manage a project, how to do a side project to create your technical portfolio, how to learn new things, how to market yourself, how to invest and have a passive income, how to keep healthy by eating clean food or doing exercise, ...
I will post my keynotes on this book soon. Recommend anyone to read this book if you're looking for a guide to build an ML system.
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