Комментарии:
Here we are 2 years later and this video and all of these comments are already obsolete....buckle up my friends....everything is gonna change and its gonna change real fast
Ответитьsorry but it was most not related and naive idea about machine learning,
ОтветитьI was searching "should i learn AI or machine learning in 2023?" And this is the first result came up
ОтветитьNetflix now paying 900k for this kind of knowledge, so yeah learn it.
Ответитьstrong barrier is there in current situation but in future there will not be barrier and demand will be high and getting jobs in machine learning will also be easier....everyone is learning machine learning for future jobs and not current jobs...
ОтветитьYou are so beautiful I swear
ОтветитьYou can’t understand it that’s why
ОтветитьI would like to work for a company that has a popular image generator.
ОтветитьCan’t you learn ML and apply it to any business? Granted, small businesses are almost completely gone so you would have to sell yourself to a corporation which most of those have existing teams, but I would think with the advancements in ML job potential is great
ОтветитьI’m sure if you learn a solid foundation for it you might be job ready. In 2023 it’s still expected to grow, jobs.
ОтветитьI just currently admission in BTech (AI and Ml ) course in tier 3college ...
And reaily passionate about learn technical then why I chose (AI and ML ) ..
I don't know how to learn and how i started...i can watch more than hundreds of video but you are the best...
I need mentorship how can i create my own start-up through of (AI mad ML) ..
First of all ...
How can I start learning in (AI and ML )...
Please give me guidence
You are f*cken gorgeous, god damn.
ОтветитьYou said “macheene laning” toooooo many times 😇
ОтветитьThis video aged well
Ответитьشكرا
ОтветитьGreat solid advice! I think people including myself are entering in AI due to shiny new toy syndrome. I am want to learn more about it because it's interesting & want to utilize it for business purposes. Excellent video!
Ответитьngl, I fell for the slightly clickbaity title, but after watching, I totally agree with your argument and not everyone should learn ML, just bcoz it's the next big thing. Great video btw.
ОтветитьThat one did not age very well
ОтветитьFrom someone who is in the field for 5 years, I have to say she is true. Be realistic and prepare for real life.
ОтветитьYour link have only 7 days course
Ответитьnah im still going to do it
ОтветитьYou be turning your channel to click bait and shit.
Ответитьwell, i would say depends on how big of an employer its likely to be (not now, but in the future..).. and the bar to entry (not their's but other people's). If its going to be a highly elite small field making a huge change across the board, then its probably only for an elite few; if its going to explode and be crying out for AI coders... then happy days.. bottom line is if demand outstrips supply then it'll be an employee market / candidate market.. and there will be easy ways into the industry so long as you have the skills (as we've seen with webdev). If not then it will be full of road blocks and hard to access without the exact right background and hoops you have to have jumped through... like a phd for example.. or at least computer science degree.. etc. But if the industry explodes.. then they'll be looking for anyone and everyone with any background they can bend to machine learning.. and then being in that skill set will pay big.
I would argue the barrier to entry doesnt have to remain pretty high actually.. nearly everything in software these days can be self taught highly effectively. If they need people badly enough.. if you can show you have the skill, then they'll likely take what they can get to get the job done... but only if there is very high demand.. fact is majority of the population dont want to learn maths ... and they dont want to learn code.. any code. its all a black box to them.
So one of the best ways is to start as a data analyst or something in analytics sector to get successful in this path, right?
ОтветитьWhy isn't your mouth syncing to the audio
ОтветитьHey my friend
I have been working as software engineer for almost a year and honestly I wanna switch into machine.
I found this channel few weeks ago and it is very insightful.
Do you think getting into ML in 2023 worth it ?
I wouls appreciate your answer
Thanks
Wow you are beautiful :)
ОтветитьThis video didn't age well
ОтветитьThis did not age well.
ОтветитьTotally agree
ОтветитьI want to do ML just because you said all this.Thanks for the motivation 🫡
ОтветитьI am not sure what is target audience you had in your mind when you were giving this advice but you are partially correct . Machine learning is not necessarily being used for only cutting edge applications where only scientists and PhDs are needed . ML has many simpler applications also . For eg: Currently in many IT organizations In QA Testing AI and ML are being used more and more and fresh graduates and middle level professionals are having / going to have lot of jobs in this area. AI and ML will be also used more and more in Modern city governance . For eg modern cities may use it to feed traffic pattern in the learning models and AI can predict and help in congestion reduction and smooth traffic . It is also helping greatly in the areas of healthcare where the Model is being fed with millions of diagnostics of cancer patients and based on that for any new patients based on his symptoms it can suggest possible treatment plans and predict outcomes . We may also build a simplest AI ML tools where we may feed a waves pattern to the Model and the AI engine can predict the wave height for particular day and send sms to surfers when they can drive down . So the potential is basically endless and as per me we should learn it .
ОтветитьActual life = If you wan't a high paying software development Job learn COBOL! 😜
ОтветитьThe number of ML Engineers will increase exponentially? Stop the cap
ОтветитьThis is like 20 Years ago, why you shouldn't buy a computer and get into internet
Ответитьtheme: Focus on your why
If in doubt, follow 5 why's approach
reflectively
humbly
examine your reasons
goals
I think it can start with curiosity
Just know it's a journey
Overnight success is not reality
For everyone
It's okay
Be a learning champion
Of your own journey
Start small and simple
Build and adapt
Been in industry 25 years
Nothing is linear
Enjoy the ups and downs
Keep learning
Driven by focused goals
Update them regularly
Enjoy the journey
So you can last
Most of all
Take care of yourself
Sleep
Excercise
Diet
Mental health habits
you should not learn math if you dont know what calculation you want to solve, good news for grade 1-5 students, tell your parents we dont want to learn math because i dont need to solve any math problems
ОтветитьI want to be a machine learning engineer in the future but i have not yet even started my college. That is why I am learnig backend engineering so that I can get a job as a backend developer and gain real world experience in python and sql and later on when i have enough skillset i want to transition into ML engineering. Do you think i am on a right track?
ОтветитьIt’s the next big thing ✅
ОтветитьGreat video, as a MLE I have experienced same journey and share similar thoughts to others who approach me.
ОтветитьI asked to chatgpt and it says something very different, it gave me a path to learn ML🎉
ОтветитьWhat a stupid and inappropriate clickbait title …I’m tired of these stupid videos
ОтветитьI like ur house though.
ОтветитьI learnt ML because I was in love with Mathematics and Computers from a young age.
ОтветитьNice video ... just letting you know that your video is not in sync with your audio. Your lips don't move in sync with your words. Just letting you know so you can improve your hit rate.
ОтветитьDo you thank same now in 2023?
ОтветитьIs the audio not synced?
Ответить