Early last year, I wanted to learn about Machine Learning Operations(MLOps).

MLOps refers to the whole processes involved in building and deploying machine learning models reliably.

A thread on the importance of MLOps and resources that I used 🧵

As you may have heard, models are a tiny part of any typical ML-powered application.

There is nothing that stresses that as this picture:

Source: Hidden Technical Debt in Machine Learning Systems, https://t.co/JDyAr1s3kc
There are lots of critical processes that are involved in MLOps such as:

- Data processes: collection, labeling, exploration, preprocessing
- Modeling processes: building, training, evaluation, testing
- Production processes - Serving, monitoring, and maintaining models
MLOps is a new topic for almost anyone. Maintaining models for a prolonged period of time is difficult.

Models are very prone to change. They drift over time. The world (that sources the data) changes, and so data change too.
MLOps is a huge topic. All I wanted was to have a reasonable understanding of it.

Here are 3 resources that I used:

- Machine Learning Engineering book by @burkov
- MLOps Specialization by @DeepLearningAI_
- Introducing MLOps book Oreilly
Here are links for those resources:

- ML Engineering book: https://t.co/L5trxHGAw1
- Introducing MLOps: https://t.co/de4vxdzA5P
- MLOps specialization: https://t.co/46fhFSyEno
I also wrote a couple of blog posts as I was learning it. You can find the blogposts on Medium

https://t.co/DFp6LwqxRV
If you would like to get started with MLOps, I recommend you take MLOps specialization along with one of those books, preferably ML Engineering book.
Also, @MadeWithML by @GokuMohandas contains many hands-on resources for building and productionizing machine learning models.

I can't recommend it enough too!

https://t.co/WjYQpeXcTX
If you have mainly been building models, learning MLOps might be the next good step for you. It's a useful skill to have!
Thanks for reading!

If you would like to see more machine learning content and useful resources, follow me at @Jeande_d.

You can also share the thread with others if you found it helpful. Sharing is caring :)

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