Number 7 is such a good point! I love every single of your videos, but applying the knowledge to real-world, complex problems is still difficult. If we are to move forward we need to pick up knowledge where it is, and I ask myself whether research papers is a good format to do this (starting my PhD in January 2022)... I find it really difficult to translate them into actual code. That being said, your longer videos / video series are really appreciated. Your way of communicating knowledge beats every research paper I have read ;)
Thanks for sharing such very useful tips Nicholas. Your channel is seriously underrated and I believe it'll have more and more subscribers very soon :D I have subscribed today!
It would be nice if u can show an example of NLP and RL in a dialogue Q&A environment (from scratch would be nice). Or RL and non image classification task. Also deepfakes (gan) and explainable ai would be nice too. For example non image classification using nn or xgboost and rules explaining the results... You are great Explainer👍
Would you say that being able to pick out the REAL opportunities to make effective use of ML is a skill all by itself? As opposed to a lot of what I’m seeing in companies getting started on the journey who have a lot of data but are treating ML as more of a “solution looking for a problem”?
I definitely would @Mike! I think it's really important to flip that idea on its head. It's important to find the problem first then look at whether ML or DS is a likely solution. Often what happens though is that people are eager to use the tech without evaluating whether it's actually going to drive any real business benefit.
Hmmm, yeah on second thought (and with a bit of research) I think I'd keep RL in it's own category rather than lumping it into semi-supervised! Thanks for the feedback @Mohamed!
@@NicholasRenotte Yes Sir, can you implement two functionalities such as, just after recognizing each alphabets or words append it and show it on a screen as sentence or after predicting words convert it to audio for blind.
every time, every time i watch you videos i learn something new. you inspire Nicholas don't stop what you doing it working
great content. made with great thought process and care (as evident from the useful links). the lack of activity on this is criminal
Thank you for creating these great videos! I’m learning Python now and I really love how you structure your projects!
Awesome, my fav language! Let me know how you go @Rocky!
You are a very good guy to point out important staff about data science!
Thanks @Sayel, the goal this year is to delve pretty deep into all those topics on the channel as well!
Again, thnx for your time and dedication. Your channel is gold!
Thanks so much @Arturo!!
For a New Year's gift, there is nothing better than this video. Thank you Nicholas.
YESSSS, thanks @Mohamed and HAPPY NEW YEAR!
Number 7 is such a good point! I love every single of your videos, but applying the knowledge to real-world, complex problems is still difficult. If we are to move forward we need to pick up knowledge where it is, and I ask myself whether research papers is a good format to do this (starting my PhD in January 2022)... I find it really difficult to translate them into actual code.
That being said, your longer videos / video series are really appreciated. Your way of communicating knowledge beats every research paper I have read ;)
Thanks for sharing such very useful tips Nicholas. Your channel is seriously underrated and I believe it'll have more and more subscribers very soon :D I have subscribed today!
Thanks so much @Kit, honestly really appreciate it!
Fantastic video!
Thanks a bunch!
Happy New Year!
Thank you again for sharing.
Happy New Year @@wwwdenis!!!
you are gold. thanks much for the content.you gonna hit million subscribers very soon
Thanks so much @Aryan!!
thanks for sharing you good tips!!!
Thanks so much @lucifel1004!
It would be nice if u can show an example of NLP and RL in a dialogue Q&A environment (from scratch would be nice). Or RL and non image classification task. Also deepfakes (gan) and explainable ai would be nice too. For example non image classification using nn or xgboost and rules explaining the results... You are great Explainer👍
Thanks so much Henk, took notes on all of these. Actually got something in explainable ai available rn. Will start building some vids up!
You are a great teacher
Thanks so much @Fabian 🙏!!
thanks for the video!
Yoooo @Andy, thanks so much!
Would you say that being able to pick out the REAL opportunities to make effective use of ML is a skill all by itself? As opposed to a lot of what I’m seeing in companies getting started on the journey who have a lot of data but are treating ML as more of a “solution looking for a problem”?
I definitely would @Mike! I think it's really important to flip that idea on its head. It's important to find the problem first then look at whether ML or DS is a likely solution. Often what happens though is that people are eager to use the tech without evaluating whether it's actually going to drive any real business benefit.
Thanks a lot, it's a great channel.
But you said that reinforcement learning is known as 'semi-supervised learning'. Are you sure?
Hmmm, yeah on second thought (and with a bit of research) I think I'd keep RL in it's own category rather than lumping it into semi-supervised! Thanks for the feedback @Mohamed!
Hey Nick, can you make a video on sign language to text conversion using AI
Yah, we're kinda doing it here already: ua-cam.com/video/pDXdlXlaCco/v-deo.html was there something else I could add?
@@NicholasRenotte Yes Sir, can you implement two functionalities such as, just after recognizing each alphabets or words append it and show it on a screen as sentence or after predicting words convert it to audio for blind.
@@sunnysatish6656 sure, I'll add it to the list!
Please remove musical background, thanks.