Every programming RU-vidr seems like it eventually descends into “top ten things to make 200K in 9 months or whatever. I just wanted to say it’s nice that you’re still producing down to earth tutorials and guides. It’s what brought me to your channel and it’s what I like to see on my feed.
Hope you're Well. I have a request can you make a video on any RUST projects. Like how to build own Compiler / Interpreter, how we can use it in web devp.. etc. 1. CLI Utilities 2. Todo-List 3. Budget Manager (Dashboard) 4. Social Media Bot 5. Utility Billing System 6. Audio Player 7. Portfolio Development 8. Weather App 9. Simple Web Server 10. Operating System Kernel These are some projects. Thanks for the consideration.
I love your videos, keep it up. Can you please do a data scientist, data analyst, ML engineer and AI engineer comparison in real world practice projects examples ? That would be nice :)
Hey Tim , I just want to know how does a ML model handle data once its deployed in production.? Like when we build a model we scale the data , remove nulls ,transform it and then use it , but how does all this happen in already deployed models? Because a normal day to day life will have all the uncleaned data. Pleas help , I m really confused. I can build the ml , dl , transformers etc but am confused how is data preprocessing tackled after model is deployed . Basically how is all preprocessing captured in the model to be used after deployment , is it through columntransformers and pipelines or are there any other steps or is it under mlops umbrella ?
That's a good question - you can think of it as being a race car driver. You don't need to know how the engine (or math) works to race successfully (or use ML techniques). However, to become a skilled racer, you'll need to know how why engine or steering adjustments work the way they work. From there you'll know why inefficiencies or inaccuracies arise.
Can I get a bit of advice from the comments maybe. Im a full stack developer who primarily works with Python because my focus is really data engineering. I work with Python, SQl, HTML, CSS, JS a bit of AWS and a few others that i understand but don’t use as much like R, Java, C. I can write and understand them but don’t use them so im not as confident in my ability with them. I learned these through building projects starting at the beginning of the pandemic im returning to school for my CS degree but im burnt out. What do you guys do to keep pushing and learning ?
