With the perspective of having almost 40 years under my belt as a professional developer, I find that question pretty humorous. It's a brand new areat that's barely begun.
Old enough where my first job was programming Fortran on a minicomputer where the CPU was a board with discrete components. ;-) Microcontrollers have more capability than that 19" rack mount system had.
I also had this same kind of question about machine learning. For an early CS student, machine learning seemed like a place only for those that got into CS much earlier. Glad to find out that this wasn't the case. Also, I like how you get right to the point in videos. Keep being a great role model for STEM students.
I'm a microelectronics engineering masters student in a German University. I'm doing my masters project in hardware ( FPGA) implementation of neural networks/ DL Accelerators. Do you have any suggestions/recommendations for books that have a step by step problem-solution approach to DL/ML topics/problems, kind of like the way Engineering mathematics by K.A. Stoud was written, (I'm not a big fan of books with too much explanations)
I can really recommend "Pattern Recognition and Machine Learning" by Christopher M. Bishop. I use that book for my Masters degree in Artificial Intelligence to read up on all the basics. He touches on everything from Probability Theory to Regression, Classification and Neural Networks. Definitely worth a read!
There is never too late to learn anything...! Anyway, myself I am not an expert in ML, but I know what it is all about - and that's enough for me. I'm not into programming as well. But I love and understand tech pretty well. I like having the overall glance of everything 😊 --- Asking about my current position - business analyst/ technical consultant.
I'd phrase that while it's never late to learn machine learning and apply that to what one already knows, it might be a bit late to ditch a non-ML related career and become a full on ML scientist/researcher/engineer/etc, depending on the individual situation. for instance, for a 40 years old chef with a family to feed, is it reasonable to start a ML education and career that a typical 19 yrs old follows? it may not be the best idea considering the amount of commitment and difference in necessary expense between 40 years old family person vs 19 years old kid.
I think the next greatest discoveries will be in the intersection between two disciplines. So to approach machine learning from the perspective of a chef would be intriguing. Can AI/ML generate the next generation of great recipes?
It will depend on how you want to define as “great recipe”. Firstly, there’s no such definition even now. It’s mostly subjective. Computers can’t do stuff when we don’t “tell” them what we want.
@@SoftTofu123 I stand to disagree. We have GANs that can generate faces without us having explicitly told them to. Same with image colorisation tasks (where there's no hard solution to the problem).
There is a Dutch research group who have developed an ai algorithm which can paint like Rembrandt. Might be interesting for you to look at. Otherwise I don't know of any other groups.
I bet it is and the whole reason for the video is Jordan trying to hide the fact she accidentally created the ultimate AI able to endlessly self-actualise and program other AIs
With the perspective of having almost 40 years under my belt as a professional developer, I find that question pretty humorous. It's a brand new areat that's barely begun.
wait how old are you then ?
Old enough where my first job was programming Fortran on a minicomputer where the CPU was a board with discrete components. ;-) Microcontrollers have more capability than that 19" rack mount system had.
I also had this same kind of question about machine learning. For an early CS student, machine learning seemed like a place only for those that got into CS much earlier. Glad to find out that this wasn't the case. Also, I like how you get right to the point in videos. Keep being a great role model for STEM students.
I'm a microelectronics engineering masters student in a German University. I'm doing my masters project in hardware ( FPGA) implementation of neural networks/ DL Accelerators. Do you have any suggestions/recommendations for books that have a step by step problem-solution approach to DL/ML topics/problems, kind of like the way Engineering mathematics by K.A. Stoud was written, (I'm not a big fan of books with too much explanations)
I can really recommend "Pattern Recognition and Machine Learning" by Christopher M. Bishop. I use that book for my Masters degree in Artificial Intelligence to read up on all the basics. He touches on everything from Probability Theory to Regression, Classification and Neural Networks. Definitely worth a read!
@@strittmm thanks
I have to submit a report for my thesis about privacy preserving ML model on 19 Nov, but I am still confused where to start. 🤔
There is never too late to learn anything...!
Anyway, myself I am not an expert in ML, but I know what it is all about - and that's enough for me. I'm not into programming as well. But I love and understand tech pretty well. I like having the overall glance of everything 😊
---
Asking about my current position - business analyst/ technical consultant.
It is never too late … but maybe there are other exciting area to explore, AI is just function optimisation after all ;)
Great video as always Jordan
I'd phrase that while it's never late to learn machine learning and apply that to what one already knows, it might be a bit late to ditch a non-ML related career and become a full on ML scientist/researcher/engineer/etc, depending on the individual situation. for instance, for a 40 years old chef with a family to feed, is it reasonable to start a ML education and career that a typical 19 yrs old follows? it may not be the best idea considering the amount of commitment and difference in necessary expense between 40 years old family person vs 19 years old kid.
I think the next greatest discoveries will be in the intersection between two disciplines. So to approach machine learning from the perspective of a chef would be intriguing. Can AI/ML generate the next generation of great recipes?
It will depend on how you want to define as “great recipe”. Firstly, there’s no such definition even now. It’s mostly subjective. Computers can’t do stuff when we don’t “tell” them what we want.
@@SoftTofu123 I stand to disagree. We have GANs that can generate faces without us having explicitly told them to. Same with image colorisation tasks (where there's no hard solution to the problem).
I'm a programming consultant and I want to learn more about machine learning and AI. Any tips on how I could do that?
ah, but is it too late to get _back_ into machine learning after a 3 year job gap?
Of course not! You probably have a solid base :D
Your link to Brilliant doesn't work. If you get a kickback, you may want to fix this :)
Thanks - fixed!
No it is not late, at over 50 I am doing data scientist course.
I really want to get into ML generated art! Any recommendations on companies or research groups? Thanks for the content!
I have the same doubt!
There is a Dutch research group who have developed an ai algorithm which can paint like Rembrandt. Might be interesting for you to look at.
Otherwise I don't know of any other groups.
I bet it is and the whole reason for the video is Jordan trying to hide the fact she accidentally created the ultimate AI able to endlessly self-actualise and program other AIs
Came from cinemasins lol
Mmmh my new crush 🥰 fan from Kenya
🤖