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As a PhD student in NLP, I completely approve your recommendations! These are relevant, concrete and feasible steps so thank you very much for presenting this in that very pleasant way. I would maybe add something regarding college students that may wonder if they should start with math or computer science majors to work in machine/deep learning top companies. My advice relying on my experience is: start with math. It is, to my mind, far easier to learn computer science concepts when you already got the maths principles. I do have a math background initially and I struggle a bit at the beginning of my journey with some software engineering aspects of project development, but I am convinced that I would have struggled way more if I had to learn math concepts from scratch by the end of my degree.
ОтветитьThanks bro.
ОтветитьOkay but how are you employable by always relying on libraries i dont get it .. do big companies like facebook and google really use these libraries?
Ответитьgood video, you are a great inspiration for me, congratulations, I am already your new subscriber 👍 blessings 🙏🏻
ОтветитьThanks!
ОтветитьThanks Boris, it was indeed very helpful. I have a post graduate degree in physics, but after the degree I really had a terrible life, went through a break up, my business went down due to COVID and i fell into a web of addictions, currently i am trying to overcome my addictions as well as i am under treatment for my depression and anger management, that's why i got myself admitted for a post graduate degree for computer science. I really don't know what i am going to do next. But can you help people like me with math or physics background?
ОтветитьYou talked about learning python as a java developer can i not learn all these in java, amazing video btw!!
ОтветитьIs the Coursera course changed to paid now??
ОтветитьBist ne gute Seele!
Danke für die Motivation.
Sad that you didn't even talk about MLOps
ОтветитьIt's an ok list but it lacks one key element: MLOps. If you don't know how to deploy your model nobody will ever use it - as simple as that. Granted - in a very ML mature company (and those are very, very rare) you will have ML engineers who will take care of deployment but you still will need to know how the MLOps lifecycle works and what part you play as ML developer.
ОтветитьI am a Cloud Engineer and was thinking of switching to ML/AI. This video was kinda what I was looking for to get an overview of everything and the roadmap and resources to pick! Thanks man! Keep it up. PS: Liking and Subscribing!
Ответить"I'm a student researcher working for an ex-meta professor, and have "had interviews" with... company."
Translation:
"I'm a broke college student and no one will hire me."
Do you have an actual job working with machine learning? I have a master's degree in mathematics and I never used anything of it on my data job.
ОтветитьMafs
ОтветитьHappy to know I followed the right order in the first 4 steps! Thank you for recommending Andrej's course; I subscribed to Ng's Course but I couldn't keep up with backpropagation :( Will include this step in my learning journey!
ОтветитьHey man, just a note that the courses by Andrew Ng on coursera are definitely not free, can you link some good free courses about ML?
ОтветитьVery valuable video. Thanks!
ОтветитьYou're voice I find easy to listen to and understand. You have a new subscriber.
ОтветитьI am 33 and good at math . Is it too late for me to start a carrer in ML
ОтветитьHow to hunt ajob ?
ОтветитьVery nice video.
Is that machine learning course really free? I am met with a "start your 7 day free trial" message when I try to enroll it. Since you said learning will take some time, I assume all three courses aren't completed in those seven days.
I am also delighted that you point where you can "get your hands dirty".
I LOVE YOU (NOT GAY)
ОтветитьHe looks like young Mitchell Starc😮
ОтветитьThat machine learning course by andrew ng is not free?
ОтветитьYour contents are very appreciated.
ОтветитьGood material. Anyway, start with learning Databricks on my channel :)
ОтветитьPolars.
Ответитьmy new year resolution is to learn ml in 2024
ОтветитьJust started learning python for fun during my break thank you I'm currently pursing a career in CS if you have any tips or advice id appreciate it.
ОтветитьKeep in mind that this is a guide to "'learn ML"' not "' get a job in ML"'.
ОтветитьBut the Course is just free for 7 days, isn´t it?
Ответитьthanks :)
Ответитьhey andrew, the machine learning course is not free it seems, any solution to that???? how do i get it for free??
Ответитьthank you for the great video. Has the course you mentioned on Coursera changed recently because it doesn't seem to be free ?😅😅
ОтветитьWell for production ML you gonna have to learn much more than that because it's a lot of data engineering and mostly pure programming. But it's a good way to build a base
ОтветитьWould you do a video with a full practical project using all these tools?
ОтветитьAs a master student in Artificial intelligence from IIT Roorkee. I recommend this roadmap and resources suggested.
Ответитьyou forgot to mention git
ОтветитьSome of the realest and best advice out there
ОтветитьWhat does reimplimenting a paper mean exactly? Do papers usually provide the datasets they use and you are supposed to use them to recreate the results?
ОтветитьAny idea for someone who is no expert in Python, can write basic loops and use Numpy and knows tons of math?
ОтветитьMachine learning really just comes down to combining and extracting data from spreadsheets using stats and calculus. Python is the most accessible way to speed up the whole process.
ОтветитьBro I have a doubt , did you learn dsa while your doing machine learning ??
ОтветитьIs python must language to know for ML or C# could also help?
ОтветитьSir can i Take a Math book instead of all these courses. if so can you recommend one
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