I'm a 3rd year undergrad and I second your recommendation of "Understanding Deep Learning". I had an okay understanding of everything, and have even done some research, but diving into this book has been priceless so far.
Hey Boris, thank you so much for this and all your other great videos, they've been really helpful for me so far! ❤ Are you planning on doing a video on the paper implementation part, e.g. your tips on how to start, your own experiences etc?:)
Great overview! I love the point about projects, honestly , as someone who has been in the industry for 14 years I would go as far as saying that all best ML Engineers started with a personal project. When things get hard, you need the motivation of whatever attracted you to ML in the first place. For me it was photo organization (this is before Google Photos was available). Fingers on the keyboard is the best way to learn. Also, I'd say in 2025 PyTorch matters a lot more than Jax or Tensorflow
There is no single best resource for anything. I always say, if it works for you, then keep going, if not, then try something else. Everyone is different. Just don't give up, because only then you have a guarantee of not succeeding :) Keep it up! ❤️
Merry Christmas and Happy New Years Boris. This video is amazing. I am an embedded software engineer and I have decided to make a switch to ai. The "How Machines Learn" is a really amazing recommendation for us beginners. Thank you so much for this video!!
Thank you for the great video. It would be great to get more on reimplementing papers or give us a few papers to work through (hopefully from beginner to advanced levels).
I liked your video, most machine learning roadmaps or guides to learn Machine learning are really overwhelming for me but yours madw me feel like i can do it
My school organises optional Machine Learning and artificail Intelligence classes yearly but I'm just starting school so it all looked too bulky and hard for me I had to leave it cos I was not understanding anything. Thanks to you I'm going to take my time and learn ahead so by next time I will be very prepared and maybe even be ahead of them. Thank you very much :)
I think I am good at math ( integrals, derivatives, medium probability and metrices) have studied python basics. Can't wait to start on this journey in a few months. Will be religiously following you from now on.
Hey boris, i find your content really helpful. Especially those research paper explaination videos. Are you planning to do some more state of art papers ? Will be really helpful.
1. Python basics 2. Why Machines Learn: Anil Ananthaswamy 3. Andrew Ng ML specialization 4. Andrew Ng Deep learning specialization 5. CS25 Transformer Architecture 6. Andrej Karpathy YT all videos 7. Understanding Deep Learning Simon prince (for theory research top dense work) 8. Numpy/panda/matplotlib/pytorch/tensorflow/jax/sckit learn -> kaggle begginer projects 9. Reading Research paper 10. show ur work & projects (linkedin/blog post/research paper submit)
I'm scared that I'm not gonna be good enough at maths for understanding all this, last time I tried to learn, in 2020/2021, I got discouraged while learning tensorflow. I'm trying again, hoping this time I can make it. Math's scary af and I've always been pretty bad at it. Got the 2 books, fingers crossed 😂
Thanks again for these golden tips and roadmaps Boris ! One question I would ask is how can you keep up with this to land your first ML job ? Should you emphasize on having a degree or doesn't it matter at all in the future job market ?
The best way to learn AI is to start in 1987, write your own algorithms in "C", because that was the only way. Read lots of books (there was no internet) and get on to IEEE paper journals (tons of them). 10 years later you might be able to buy groceries. 10 years after that have a team of people. To be ahead of everyone else, you really have to be DEDICATED to the art and work DAMN HARD (and smart... try to be smarter than your algorithms lol)
hey i am well versed in some of the machine learning and deep learning algorithms the basic ones like linear regression logistic regression , neural netwroks and i want to go further in computer vision can u suugest some resources for that ?
hey man....its been a year I started following ur content...big fan of ur work...thank you so much for ur work...I've full stack experience for 6 years...I need to change my domain as AI engineer....do i need really masters or phd to get sustain in AI domain? of I can able to self taught and can I become good AI engineer....
Understanding Deep Learning or Bishops Deep Learning Fund!mentals the new 2024 version?I usually don't like Bishops rigorousness,have you read it boris?
depends on the role, but what might be relevant is implementing efficient training, serving/ inference, efficient data processing, and efficient evaluation pipelines. There are many different techniques for implementing such things, and which ones to use differs based on the requirements. You would also want to be able to quickly implement new ideas into an existing code base and ideally keep it readable, modular, and extendable. All these things are just „simple“ best practices for proper software developmental you learn those by writing a lot of code yourself and learning from code written by others. I hope this somewhat helps :)
It is really impossible to say, because it depends on how quickly you learn, how much pure study time you can invest in a day, and to what you define as "having learned ML". It can take anywhere between 6 months and 2 years. Or even more. Sorry for the probably unsatisfying answer :(
I guess my guy here did now also arrive at the point where he just uploads slight variations of the same video over and over again for the sake of maximizing views. It's a pity given that Boris seems genuinely enthusiastic about the field and that it offers so many interesting topics worthy of a video
That is very true, and I am looking forward to creating as many videos covering these different topics as possible 😊 Nevertheless, I plan to create this video every year to provide slight updates on resources and topics to learn, so, naturally, there will still be a fairly large overlap with previous versions. I am super grateful that you seem to watch so many of my videos that you recognize the repetition of certain arguments and points. However, there are a far greater number of people who don't watch my other videos, so this repetition will still be quite novel to the very most people. I try to help as many beginners as possible get into AI and actually learn it properly with the limited time I have, so I hope you can understand my arguments :) Yet again, your point is very valid, and I am aware of it. Thank you 😊❤️
@borismeinardus Please continue doing this. Many of us start but fall off the wagon due to other commitments or shifting priorities in life. An updated roadmap like this encourages us to hop back on seamlessly. Thank you for what you do, and keep at it! 🙌
I'm gonna defend Boris here mate. If you know how TH-cam works, you will know why repetition is needed sometimes. I wish it wasn't like that either but that's the algorithm you're up against. Besides, there's only a few different ways you can learn something. @BorisMeinardus Keep it going!
amazing simple content . i have a question do we need high end laptops to work in ML , deep learning , i have mac book m3 16-256 model is this machine enough to learn AIML , deep learning hope you will response soon !
if someone spent 6-7 hours a day working on these and building projects do you believe they could get an entry level job in ml or data analyst job within 4 months without degree?
Yes! If you put in enough time and effort to learn the relevant skills and show projects that demonstrate the relevant skills, you can :) It will take time though!
I would say that's not a compete answer. Be realistic, 2 people going for same job interview. You and another person. The other person is exactly the same as you but with computer science degree. Who do you think will get the job? Now realise that it's not only 1 other person, it's hundreds of other candidates, all with computer science majors. You don't have to do any fancy integrals or differential maths here. The probability of you getting that job is almost 0%. Good luck but stay realistic. The time we have here in this life is finite.
just look at the number of indian things here like indians are everywhere dude , first when he searched python tutorial on yotube there were indians, second this book recommendation , see author name, third when he searched for khan academy , do you even know ncert , but the point is indians are everywhere dude even in the wmerging new firld
Want to ask specific questions and talk about your ML journey? Let's chat!
👉🏻 calendly.com/boris-meinardus/consulting
I'm a 3rd year undergrad and I second your recommendation of "Understanding Deep Learning". I had an okay understanding of everything, and have even done some research, but diving into this book has been priceless so far.
Hey which degree are you doing right now?
@@DIYAGAMINGop I'm doing computer science and a minor in math
How do you take time to shift through the book and balance your school work? Or do you just go through the parts that is of your concern in the book?
Hey Boris, thank you so much for this and all your other great videos, they've been really helpful for me so far! ❤
Are you planning on doing a video on the paper implementation part, e.g. your tips on how to start, your own experiences etc?:)
Great overview! I love the point about projects, honestly , as someone who has been in the industry for 14 years I would go as far as saying that all best ML Engineers started with a personal project. When things get hard, you need the motivation of whatever attracted you to ML in the first place. For me it was photo organization (this is before Google Photos was available). Fingers on the keyboard is the best way to learn.
Also, I'd say in 2025 PyTorch matters a lot more than Jax or Tensorflow
Can you suggest which type of personal projects ML Engineers used to do so that we can get more insights/examples ? Thank you !
谢谢！
Thank you!!
best advice video about data science that I've seen for a long time!!! thank you
Thank you! I‘m really really happy to hear that! 🥰
I was doing a math course for ML on coursera by Deeep Learning and i thought that i am wasting time. Thank you so much for motivating me.
There is no single best resource for anything. I always say, if it works for you, then keep going, if not, then try something else. Everyone is different. Just don't give up, because only then you have a guarantee of not succeeding :)
Keep it up! ❤️
is the course good the thing is i'll start the math course in the next few weeks i just want your opinion whether its worth it or not
Merry Christmas and Happy New Years Boris. This video is amazing. I am an embedded software engineer and I have decided to make a switch to ai. The "How Machines Learn" is a really amazing recommendation for us beginners. Thank you so much for this video!!
Thank you for the great video. It would be great to get more on reimplementing papers or give us a few papers to work through (hopefully from beginner to advanced levels).
I liked your video, most machine learning roadmaps or guides to learn Machine learning are really overwhelming for me but yours madw me feel like i can do it
14:30 I recommend revisiting your initial project to improve it, as working on it will help you learn from your previous mistakes.
My school organises optional Machine Learning and artificail Intelligence classes yearly but I'm just starting school so it all looked too bulky and hard for me I had to leave it cos I was not understanding anything. Thanks to you I'm going to take my time and learn ahead so by next time I will be very prepared and maybe even be ahead of them. Thank you very much :)
I think I am good at math ( integrals, derivatives, medium probability and metrices) have studied python basics. Can't wait to start on this journey in a few months. Will be religiously following you from now on.
What a great video man! Huge thanks
13:34 Would be great if you made video about reimplementing a paper
Thank you so much for this!🤝
Really great advice. Thanks!
Really enjoyed this video. Merry Christmas Boris!
Thank you very much! You too 🥰
Hey boris, i find your content really helpful. Especially those research paper explaination videos. Are you planning to do some more state of art papers ? Will be really helpful.
I really like your channel boris, thanks for this content. You’re awesome!!!
Really glad you enjoy it! ☺️🙇🏼
Great recommendation! 🙏❤ Will learn the book together with Claude AI 😊
Thank you. That has been helpful!
Glad it was helpful!
I like your recommendations. Thank you
1. Python basics
2. Why Machines Learn: Anil Ananthaswamy
3. Andrew Ng ML specialization
4. Andrew Ng Deep learning specialization
5. CS25 Transformer Architecture
6. Andrej Karpathy YT all videos
7. Understanding Deep Learning Simon prince (for theory research top dense work)
8. Numpy/panda/matplotlib/pytorch/tensorflow/jax/sckit learn -> kaggle begginer projects
9. Reading Research paper
10. show ur work & projects (linkedin/blog post/research paper submit)
Pls can you also do a roadmap on how to get an internship or junior role
Great resources! Especially Karpathy's TH-cam channel :)
He‘s amazing! ☺️
I'm scared that I'm not gonna be good enough at maths for understanding all this, last time I tried to learn, in 2020/2021, I got discouraged while learning tensorflow. I'm trying again, hoping this time I can make it. Math's scary af and I've always been pretty bad at it. Got the 2 books, fingers crossed 😂
Hi thanks for such an informative video. I hope you do more videos about research in the field of ai ml that would really help.
I‘m glad you liked it! Let’s see what interesting content I‘ll come up with next year ☺️
Thanks for your amazing content. It would be nice if you could make a video about how to reimplement papers.
Great..no words to describe
Thanks again for these golden tips and roadmaps Boris !
One question I would ask is how can you keep up with this to land your first ML job ? Should you emphasize on having a degree or doesn't it matter at all in the future job market ?
Useful content,
Any content for learning Tensorflow or Pytorch on youtube you follow or recommened ?
Amazing video!
We need editing course as well, this is lit!
what can be free alternative of andrew ng's course ?
The best way to learn AI is to start in 1987, write your own algorithms in "C", because that was the only way. Read lots of books (there was no internet) and get on to IEEE paper journals (tons of them). 10 years later you might be able to buy groceries. 10 years after that have a team of people. To be ahead of everyone else, you really have to be DEDICATED to the art and work DAMN HARD (and smart... try to be smarter than your algorithms lol)
😂🙆🏿
Hey can you make a video on edge AI. It is something that mixes both of my interest
All this knowledge is giving me a raging brainer!
Will you tell me what I should know as a project manager?
danke dir bro
U deserve more recognition
As a first-year CS student, how much DSA should I learn with your ML guide? Will intermediate skills secure an internship in my second or third year?
DSA is the foundation for software development
which site will you recommend for write blog posts for begginer level projects?
hey i am well versed in some of the machine learning and deep learning algorithms the basic ones like linear regression logistic regression , neural netwroks and i want to go further in computer vision can u suugest some resources for that ?
How important is dsa and software development like web/app dev to start ml????
dsa is only really important for ML engineering interviews. SE skills are quite important, but web/ app dev specifically is rather unimportant.
@@borismeinardus what are the SE skills
@@dotdotdot-v1 wait for upcoming video😆
@@borismeinardus okay brother thanks
@@dotdotdot-v1 software engineering skills
do we need to know cs fundamentals? operating systems, data systems, computer networks etc.
NO
hey man....its been a year I started following ur content...big fan of ur work...thank you so much for ur work...I've full stack experience for 6 years...I need to change my domain as AI engineer....do i need really masters or phd to get sustain in AI domain? of I can able to self taught and can I become good AI engineer....
Thanks for the advice!
What is a database that brings together research on machine learning, like pubmed for medicine?
Have a look at top ML conferences and arxiv.org :)
hey Brother who edits your videos or do you edit by yourself?
What about Google‘s AI Courses?
Andrew dl specialization does cover the transformers.
transformers are so important these days that you need to understand them is much more depth. At least, in my opinion :)
Where would you practice ML and DL?
Understanding Deep Learning or Bishops Deep Learning Fund!mentals the new 2024 version?I usually don't like Bishops rigorousness,have you read it boris?
How much DSA knowledge is typically required for ML roles as a fresher?
I think big tech interviews require some more level of math for ML right?
Hey guys i'm a student of commerce background. Can i start learning ML from beginning.
May I know do I need to know maths and physics?
awesome
I want to study a master's degree in artificial intelligence, is it a good way to learn machine learning? Or is it an expensive way?
what are exactly the SE skills needed for the AI/ML engineer
depends on the role, but what might be relevant is implementing efficient training, serving/ inference, efficient data processing, and efficient evaluation pipelines. There are many different techniques for implementing such things, and which ones to use differs based on the requirements. You would also want to be able to quickly implement new ideas into an existing code base and ideally keep it readable, modular, and extendable. All these things are just „simple“ best practices for proper software developmental you learn those by writing a lot of code yourself and learning from code written by others.
I hope this somewhat helps :)
@@borismeinardus thanks alot
But i dont have skills nothing how long will take to learn ?
It is really impossible to say, because it depends on how quickly you learn, how much pure study time you can invest in a day, and to what you define as "having learned ML". It can take anywhere between 6 months and 2 years. Or even more.
Sorry for the probably unsatisfying answer :(
Is a degree in computer science compulsory for one to go into this path?
Vielen Dank!
Sehr gerne 🫡☺️🙇🏼
Where do I find those papers ? Like how to search for it
bro can you help me i have learned all but i dont know how or where should i utilize my knowldge🙏
Whats the software you use for thumbnail designing and video editing
Premiere Pro and Photoshop :)
Do you have a master's degree or phd?
Master's :)
How can someone at with bachelor's degree with no practical experience get into the field of machine learning?
build a passion project
I guess my guy here did now also arrive at the point where he just uploads slight variations of the same video over and over again for the sake of maximizing views. It's a pity given that Boris seems genuinely enthusiastic about the field and that it offers so many interesting topics worthy of a video
I really needed this video tho
That is very true, and I am looking forward to creating as many videos covering these different topics as possible 😊
Nevertheless, I plan to create this video every year to provide slight updates on resources and topics to learn, so, naturally, there will still be a fairly large overlap with previous versions.
I am super grateful that you seem to watch so many of my videos that you recognize the repetition of certain arguments and points. However, there are a far greater number of people who don't watch my other videos, so this repetition will still be quite novel to the very most people.
I try to help as many beginners as possible get into AI and actually learn it properly with the limited time I have, so I hope you can understand my arguments :)
Yet again, your point is very valid, and I am aware of it. Thank you 😊❤️
@borismeinardus Please continue doing this. Many of us start but fall off the wagon due to other commitments or shifting priorities in life. An updated roadmap like this encourages us to hop back on seamlessly. Thank you for what you do, and keep at it! 🙌
I'm gonna defend Boris here mate. If you know how TH-cam works, you will know why repetition is needed sometimes. I wish it wasn't like that either but that's the algorithm you're up against. Besides, there's only a few different ways you can learn something. @BorisMeinardus Keep it going!
so i want to ask you to start learning Linear Algebra should i first take Algebra course? because i am bad at maths, help me out here bro
Shit his 2025 video came and i still don’t have a job i wanna become a researcher scientist or a researcher engineer 😢😢
Where to find good papers to reimplement plzz tell
have a look at top ML conferences and arxiv.org :)
I can't get the deep learning book
hmm, that‘s weird. Did you find a way to get it?
Is full stack web dev necessary to do b4 starting ai/ml roadmap?
I would say it’s not necessary :)
@@borismeinardus but..... Is it recommended?
@@neymarJr-pw9bi Nope
amazing simple content . i have a question do we need high end laptops to work in ML , deep learning , i have mac book m3 16-256 model is this machine enough to learn AIML , deep learning hope you will response soon !
just create ur models on either kaggle or google colab, they provide their own gpu aand u dont need high end laptops for ml
if someone spent 6-7 hours a day working on these and building projects do you believe they could get an entry level job in ml or data analyst job within 4 months without degree?
jamás
Is it possible to learn ML/AI without Science background and to get job as a ML engineer? please tell me about this
Yes! If you put in enough time and effort to learn the relevant skills and show projects that demonstrate the relevant skills, you can :)
It will take time though!
@@borismeinardus thanks !
I would say that's not a compete answer. Be realistic, 2 people going for same job interview. You and another person. The other person is exactly the same as you but with computer science degree.
Who do you think will get the job?
Now realise that it's not only 1 other person, it's hundreds of other candidates, all with computer science majors.
You don't have to do any fancy integrals or differential maths here.
The probability of you getting that job is almost 0%.
Good luck but stay realistic. The time we have here in this life is finite.
@@borismeinardus So , which skill can i gain for making money or getting job in future for me? please tell me , because i am very serious about this
How can I become an AI in 2026?
Neuralink 🤖
@@borismeinardus 😎
7:27
Thank you Dustin Poirier
What?
AI coding is the new no-code
just look at the number of indian things here like indians are everywhere dude , first when he searched python tutorial on yotube there were indians, second this book recommendation , see author name, third when he searched for khan academy , do you even know ncert , but the point is indians are everywhere dude even in the wmerging new firld
What's your point?
Bro remove that first comment,And yeah ,Thanks for vedio ,But I need help in math part ,And also project part ,Can ther ebe detail vedio...plzz
embarassing with these bot synchros in diff languages, just do subs...
Autogenerated dubs seem to not be there yet haha
In boris we trust
🙇🏼🙇🏼🙇🏼
If you haven’t read The Elite Society's Money Manifestation yet, you’re seriously missing out. It’s a total game changer
These Bots are everywhere
seems like it haha
Lol yess
You activated so many adds it’s annoying, I am not bothered watching your annoying videos