Dear Sreeni, Thank you so much for these videos. I have just found out about your channel and have been consuming your content non stop. I really like your teaching style and your series seems to cover some very cool stuff
Thanks for such valueable advice ... i am also a researcher and passionate about working on images but sometimes in begining it is very diffucult to implement things just by reading research papers but i believe your video series will guide AI engineers, researches a lot in learning very easily. Also i have never seen any channel have such detailed implementation. Also sir, i am wandering about how we can optimize hyperparameters of deep learning model like Resnet50 using Gray wolf or BAT optimization techniques rather then manually setting hyperparametes like learning rate, batchsize , dropout .
I am hoping that my channel viewers get the required basics to the point where you start to understand technical publications. Regarding hyperparameter optimization - I have yet to be convinced on gray wolf or swarm techniques as offering scientifically proven advantages over traditional tuning methods where you search a grid of parameters. To me, these optimization techniques sound promising and are good candidates for research but not sure if they are ready to design applications.
Actually, as an engineer, one of the key things we were always taught is the importance of proper and efficient communication. I have to disagree about your view of engineers in this regard.
I agree with you; I was never taught about effective communication in college. Of course, we all have different experiences as we come from all around the world with significant cultural differences, even in the teaching curriculum. After interacting with many students and researchers from around the globe, I can safely say that communication is not taught or made a priority in engineering and sciences. In fact, many students and researchers feel shy to present their own work - not because they don't know their work but because they are afraid of 'failure to communicate effectively.'
@@angelceballos8714 true, but social interactions is by design, something that you should develop as a human being. It's not something to be taught in a course. But today, people are too involved in their own little bubbles to a point they need to be taught how to be social. If you really think about it however, social interactions are developed, or are suppose to be developed as you work your ass off as an engineer, together with other engineers to achieve results. That is the reason for presentations and the like. So yes, I personally think such a thing is subtly pushed onto students during their time in university since part of the curriculum requires a student to experience and practice presentations endlessly, cooperate with other students etc. In the end however, it's up to the person in question to be sociable. I was severely scared of public speaking, presentations and the like, but got over that when I specifically placed my self in a job that requires me to get out of my comfort zone and do these things to improve my self. A course on being social, useless.... you gotta get your feet wet and out of your comfort zone, only then do you have personal growth.
I am a fresher in this ML domain. I want to master one domain of ML before I graduate from college but I don't know which one, which will be right. every time I am wondering about different types of projects of ML, not, in particular, one domain. can you please make a video on ML in different domains or industry want that type of Domain expert ML engineer? and how can we secure an ML job as a fresher ( with a bachelor degree not with a master degree) Thank you :)
This is exactly why I made the video, to say that I don't know what domain is right for you. You have to do a job search for machine learning engineers based on your preferred location. If most of those jobs belong to banking and if you happen to like that field then you may want to learn about banking-specific algorithms. Or, if you are already passionate about a field then search for those jobs and pick up relevant skills. Suggestion to freshers: Try to find internships in your final year or even after graduating. This helps you understand the real requirements of industry. I worked for free for about 9 months in India when I was doing my undergraduate studies in Hyderabad, back in early 1990s. I did that just to learn more about scanning electron microscopy. That experience really helped me with my career.
are you passionate with your work? At the place you currently stand? I am asking this because I don't think passion is sustainable. At least it has not been sustainable in my life. I became relatively successful by only distracting myself and not by using passion to succeed.
I am (and I have been) passionate about understanding nature via images for about 3 decades now. Three decades ago, I started by looking and analyzing astronomy pictures. Then, I found materials sciences to be very exciting where I started to look at material microstructure. I then got into geology and petrology where I looked at rock images. In between, I looked at electronics, semiconductor, and solar material images. Recently, I have been focusing on life sciences related images. The exact fields changed quite a bit but my passion of understanding nature via images remained the same. I don't expect the same to hold true for others but when you start from scratch about picking a field, wouldn't passion be one of the guiding forces for prioritization? If not, please do suggest an alternative way that provides higher chances of career success. I really want the viewers of this channel to benefit from any insights from others, not just from my points of view.
@@DigitalSreeni Thank you for the reply. I really appreciate your history related to your passion. I think I had a similar granularity and continuity to my interest and passion that I lost along the way. So this is eye opening. On your second paragraph, people most often then not use arguments like finding and following ones passion, to speak and communicate these driving forces. I found myself not using or relying those expressions when speaking about these stuff. I think most people will appreciate this perspective. I also appreciate this, however find sustainability to be challenging without the help of novelty.
unbelivably helpful video for me, thanks!
Dear Sreeni, Thank you so much for these videos. I have just found out about your channel and have been consuming your content non stop. I really like your teaching style and your series seems to cover some very cool stuff
My pleasure 😊
Thanks for another great video! Really enjoyed your videos!
Thank you ,Sreeni Sir, ✨✨✨
Thanks for the advice. You the are best mentor 👍
I appreciate that!
Thanks for such valueable advice ... i am also a researcher and passionate about working on images but sometimes in begining it is very diffucult to implement things just by reading research papers but i believe your video series will guide AI engineers, researches a lot in learning very easily. Also i have never seen any channel have such detailed implementation.
Also sir, i am wandering about how we can optimize hyperparameters of deep learning model like Resnet50 using Gray wolf or BAT optimization techniques rather then manually setting hyperparametes like learning rate, batchsize , dropout .
I am hoping that my channel viewers get the required basics to the point where you start to understand technical publications.
Regarding hyperparameter optimization - I have yet to be convinced on gray wolf or swarm techniques as offering scientifically proven advantages over traditional tuning methods where you search a grid of parameters. To me, these optimization techniques sound promising and are good candidates for research but not sure if they are ready to design applications.
great video
Thanks!
@@DigitalSreeni i work with Ai for health and this is really useful for me
Communications skills are really important, yet as engineers we usually don't emphasize on them.
Actually, as an engineer, one of the key things we were always taught is the importance of proper and efficient communication. I have to disagree about your view of engineers in this regard.
@@phistoanonymous1798 technical communication is not the same as social interactions, but I respect your point of view
I agree with you; I was never taught about effective communication in college. Of course, we all have different experiences as we come from all around the world with significant cultural differences, even in the teaching curriculum. After interacting with many students and researchers from around the globe, I can safely say that communication is not taught or made a priority in engineering and sciences. In fact, many students and researchers feel shy to present their own work - not because they don't know their work but because they are afraid of 'failure to communicate effectively.'
@@angelceballos8714 true, but social interactions is by design, something that you should develop as a human being. It's not something to be taught in a course. But today, people are too involved in their own little bubbles to a point they need to be taught how to be social.
If you really think about it however, social interactions are developed, or are suppose to be developed as you work your ass off as an engineer, together with other engineers to achieve results. That is the reason for presentations and the like. So yes, I personally think such a thing is subtly pushed onto students during their time in university since part of the curriculum requires a student to experience and practice presentations endlessly, cooperate with other students etc.
In the end however, it's up to the person in question to be sociable. I was severely scared of public speaking, presentations and the like, but got over that when I specifically placed my self in a job that requires me to get out of my comfort zone and do these things to improve my self. A course on being social, useless.... you gotta get your feet wet and out of your comfort zone, only then do you have personal growth.
I am a fresher in this ML domain. I want to master one domain of ML before I graduate from college but I don't know which one, which will be right. every time I am wondering about different types of projects of ML, not, in particular, one domain. can you please make a video on ML in different domains or industry want that type of Domain expert ML engineer?
and how can we secure an ML job as a fresher ( with a bachelor degree not with a master degree)
Thank you :)
This is exactly why I made the video, to say that I don't know what domain is right for you. You have to do a job search for machine learning engineers based on your preferred location. If most of those jobs belong to banking and if you happen to like that field then you may want to learn about banking-specific algorithms. Or, if you are already passionate about a field then search for those jobs and pick up relevant skills.
Suggestion to freshers: Try to find internships in your final year or even after graduating. This helps you understand the real requirements of industry.
I worked for free for about 9 months in India when I was doing my undergraduate studies in Hyderabad, back in early 1990s. I did that just to learn more about scanning electron microscopy. That experience really helped me with my career.
@@DigitalSreeni Thank you sir :)
Thanks for another great video B)
My pleasure!
are you passionate with your work? At the place you currently stand? I am asking this because I don't think passion is sustainable. At least it has not been sustainable in my life. I became relatively successful by only distracting myself and not by using passion to succeed.
I am (and I have been) passionate about understanding nature via images for about 3 decades now. Three decades ago, I started by looking and analyzing astronomy pictures. Then, I found materials sciences to be very exciting where I started to look at material microstructure. I then got into geology and petrology where I looked at rock images. In between, I looked at electronics, semiconductor, and solar material images. Recently, I have been focusing on life sciences related images. The exact fields changed quite a bit but my passion of understanding nature via images remained the same.
I don't expect the same to hold true for others but when you start from scratch about picking a field, wouldn't passion be one of the guiding forces for prioritization? If not, please do suggest an alternative way that provides higher chances of career success. I really want the viewers of this channel to benefit from any insights from others, not just from my points of view.
@@DigitalSreeni Thank you for the reply. I really appreciate your history related to your passion. I think I had a similar granularity and continuity to my interest and passion that I lost along the way. So this is eye opening.
On your second paragraph, people most often then not use arguments like finding and following ones passion, to speak and communicate these driving forces. I found myself not using or relying those expressions when speaking about these stuff. I think most people will appreciate this perspective. I also appreciate this, however find sustainability to be challenging without the help of novelty.
Machine Learning in environmental science