Відео

Hey Boris , very good video . I can do better editing in your videos which can help you to get more engagement in your videos . Pls lmk what do you think ?

Can i skip the math part? or can i just have an idea of the concepts and move to the actual ML courses, because i saw the math courses and it says that it takes approximately 10 weeks to finish just the probability course! Im trying to get out of my rut and i feel overwhelmed already just by looking at the work that has to be done. My brain feels foggy when i want to study its driving me crazy!

Bro these are paid They are asking for subscription

Really nice video Boris! Do you think re-implementing from scratch some basic models, either like CNN or GPT models can be useful both for stand out and understanding?

Where did you download the papers , was it for free or paid

I'm a newbie looking to transition into a tech career. I've been studying Python on LeetCode and learning ML from Coursera and Andrew Ng, but I'm eager to dive deeper into ML. Any advice or opportunities for a beginner like me would be fantastic. I'm excited to hear from awesome folks like you. Thanks!

Alright! Time to listen to this bro!

Can you give some places to look about what other people solving and where do taking these research paper, if there is any problem with question forgive it i am not good at english

Secret #6: ML codebases are all rather simple compared to some real-world codebases out there ...

Multimodality his the next AGI milestone. I would never start approaching it, the only way to crack it as far as I can see is through brute force compute, I don't see any algorithmic improvements possibilities in this area for us peasants with multiple GPUs at max

Please do uou know greath learing gor courses? Do you recommand them. Thank you

how to modify the font size

Excellent video Boris ! keep it up 👍. By the way , i have question for you : what do you think about using AutoML tools like Pycaret , H20, AutoKeras and others such tools for automating ML workflows ? Do professionals use them ? If yes, then how much role do they play during work or at what extent they use it ?

great 💯

i am really struck in a situation where i can't decide what kind of projects can be made , how much knowledge i really have and how much I required . is there some suggestion to follow something , or some kind of roadmap , video to actually know what are the things that need some time, i am more into having practical ML knowledge. Really like the work you have been putting through your videos.

More like a notion demo

And i forgot to tell you , you like iman gadzhi

i want to make a ChatBot can you tell me what i should learn and from where should I start and also one more thing can you me name some topics for my semester projects .

Hi Boris, great custom dashboard! I would also recommend Notion's Project Management template as a free alternative.

you look like antoine griezmann

Excellent approach, Boris. There's some similarity with my rather agricultural tactic of using the tools I already have without reaching out for another wrench. FWIW I'll share it with you. I use email, specifically Mozilla Thunderbird, to email myself with tags in the subject line. Doesn't matter where I am, at my desktop computer or on a walk with mobile phone. When I think of something off goes the email to myself and filters setup in Thunderbird moves the inbound email to a folder or subfolder related to the subject line tag(s). Super simple, minimal UI interaction and all records if my thoughts, planning and actions are automagically filed in the appropriate buckets. Typically I'll think about and plan a development project off-screen for weeks at a time so that by the time I get around to coding I've got a framework to write the least amount of code possible. I love coding and love concise coding even more so, indeed, your approach resonates well with me!

Hey I would be really greatful if you can share your full notion page as It's really amazing and specifically the dataset part is just great!

can you recommend some resources for NLP?

Only 35 seconds into your video and I think you have me hooked to watch & listen to the end :-)

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Thanks for the explanations man, i was indeed confused about these roles

Awesome!!! I loved your Math explanation! Thank you very much!

Can someone suggest some sites where we could write Blog posts Boris recommends, like sites that would be considered good / professional by other developers not general purpose like Quora or something

for myself 1. learn python 2. math 3.jupyter 4.coursera course (andrew) 5. scikit learn , pytorch, tensorflow 6. Andrej Karpathy (build real project) 7. hugging face , kaggle

Bro please make a video about ML mathematic 🥲😭.Love from Bangladesh ✨

someone explain whats the use of TINYML

What about keras or seaborn? Would you recommend them?

Brother... I want to come study in Berlin. But are the CS or Software Engineering degrees in German or??

This video is the coolest, funniest, most informative video I have ever seen about my major that made me fall in love with it all over again!

Thanks for the video, but why would you say the ML courses are free? I'm talking about coursera specializations - Immediately after clicking "enroll", you need to register for a 49$ per month. The fact it has 7 days free trial at the start, well, it doesn't really make the course really free...

Pretty much my job... all of them 😂

he said " why do people give up learning ai/ml.... is it hard?... yes.." lmao

i have a quick question: after installing condo properly, I tried "conda create -n ROS python=3.8 " in my terminal, but it gives out"zsh: command not found: conda", maybe I am in the wrong path, how do I fix this?

Things i wish i was told about math... "see in pictures." I know that this serves geometry more (i heard it from dr takashi lecture in south africa). And little by little, i am understanding the things i learned years ago as an undergrad of physics. I think the fact that it is a language is rarely spoken about.

k nearest neighbor ie not clustering algorithm, it is classification. So there is no need to select a k. I think you mixing kmeans clustering and knn

I have a genuine question. There is Data Engineer, ML Engineer and AI Engineer. Do you see in future any of these merging together? Should we try to be an ML Engineer or directly jump to being an AI engineer?

Hi boris! I have been in nonprofits for a long time and I want to start learning ML. I know I am coming with no experience whatsoever but your videos are keeping me motivated. I hope I can do it! Thanks!

Thanks for being honest.

Lol "ml" engineer. It's machine learning

L'accent français. En lisant certains article sur LLM, j'avais remarqué que certains employés avaient leur adresses mail. Mais je n'avais pas pensé à les contacter. C'est un très beau conseil en tout cas.

did everything on my macbook pro m2 and worked perfectly, wrote the same lines shown on the tutorial. Thx !

Simple (and probably stupid) question: does a domain-specific problem, say understanding ocean data or medical images (here I'm using the word "understanding" in a very loosened way), need a specific pre-training on the domain data? Or can one just use an LLM pre-trained on the whole internet corpus and then fine-tune it?

For free-lance researchers (or, i guess you could argue, amateurs), one of the biggest challenges in achieving any of these things coding-wise is to get enough compute and memory for big, realistic models. Google CoLab is certainly great but not entirely reliable on a free account as it could shut down in the middle of training a model. Any suggestions as to how one can solve this problem?

I’m on my ml research internship, I’m a sophomore student, my first ongoing task was to reconstruct a deep learning architecture to make it work, I surprisingly improved the paper results on my setting. Did I do well? Was surprised when I saw the first point, decided to write this😂😅

at 60 yo this feels insurmountable.