Every programming RUclipsr 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 ?
If you’re interested in becoming a developer check out my free guide to landing a software developer role in 2024: techwithtim.net/dev
Every programming RUclipsr 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.
How to make 200k if you follow my link.
i like it, unlike most of roadmaps designed for absolute beginners this one had a lot to say thanks
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 :)
A quick refresher is invigorating. Thank You!
Great overview - Thanks! Consolidates understanding of my other studies in AI. Really appreciated the fine tuning / RAG section.
Super clear big picture with lots of search terms for further learning. Thank you!
Refreshing fresh breeze, I was getting suffocated rather overwhelmed by this AI stuff everywhere, but this video brought in some relief. Thanks Tim
I love everything you teach❤it is very useful and easy to understand. Now I'm able to code well, Thanks to you ❤
Vote for Detailed AI/ML engineer roadmap☑
Thank you for a useful high level over-view of Ai classifications.
Awesome as always
People watching this with lots of hope , meanwhile cant even get an interview for entry level web developer or junior data analyst 😝
Loved it.
Mentor Tim, this is cool.
Can you provide a pdf a complete roadmap 2024 to AI/ML
Interesting video :)
Great video, very informative! Do you have a course you recommend for the last topic? Would you be willing to teach it?
❤
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 ?
🤔 Interesting 🐍
aitutorialmaker AI fixes this (AI driven Tutorials). Python developers' AI roadmap 2024.
Hey, Tim. Can you make a tutorial for fastHTML
bro i have a question, is math a must have tool or just a useful tool for machine learning or artificial intelligence?
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 you teach me how to create a mini project using AI
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 ?
Focus on the end goal. 💸💰🤑
Sometimes, a little rest can help much
@@OmarHashimOAD thank you, new semester starts on the 26th I think I’ll be shutting down until then
@joshuahorton5135 I wish you the best 👍 good luck
Bro you're embarrassing your hood ancestors. Stop studying go learn to rhyme and 🔫
DATA SCIENCE + SOFTWARE ENGINEERING = AI/ML ENGINEER
Vote for Detailed AI/ML engineer roadmap☑
Can you do for django more web baseed?
Let's see what he got.
We need Python path for cyber security.
who is we, he is a software engineer, not cybersecurity guy
Just wait for a Cibersecurity sponsor, and he will do the video... 😉
First !!
whats up master
Please anyone hire me. I am a computer science student with web dev skills
Why don't you grow your hair long.
Bros here to look at his hair