What I Learnt At an AI Startup|
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- Опубликовано: 11 сен 2021
- In this video i talk about my lessons and learnings from working at an AI startup for the past 6 months as an Artificial Intelligence Engineer. These lessons will be extremely helpful for freshers trying to land jobs in the field of AI and Machine learning in the future.
I primarily talk about :
1. Why it's hard for freshers to land AI Jobs in companies?
2. Importance of domain expertise in Artficial inteligence and machine learning domains
3. How you have to upskill fiercely in AI startups
Link for my second RUclips channel: / nachitalks 
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Totally agree, being aware of cloud services like firebase and azure really helps a lot👍
Very well explained, thanks for it 🥂
Hey man, awesome video... Do you think to make an AI related startup I would need to go to uni and study AI or could I get away with doing some courses at home (e.g. coursera) for a year or so?
you are making awesome videos @Nachiketa! Learning a lot from you, thank you!
Happy to hear that!
I am a fresher in ECE VIT VELLORE but I am skeptical about it as the schedule in offline is a bit hectic and I am keenly into AI and Robotics, so what should be your suggestion
Thanks. This was really helpful, Please I'll love to see more of this kind of video, also how and where to find AI jobs.
Glad to hear that, will be rolling out similar videos soon
Totally agree. Wonderful video
finished watching
Wanted to say just don't stop to post ai ml contents..all are helpfuls ..first and last comment
Dear Nachiketa with immense gratitude i would like to say you explain very well❤
Thank you!
do certificates as ai engineer from microsoft help u land a job
Thanks for the video; I wish I could give it 1000x likes, but RUclips doesn't allow that.
I just started learning ML & DL following Coursera courses by Andrew Ng, the content is good, but if I spend time on a project for every algorithm, it might take a ton of time.
Should I just learn enough to get the concept of each algorithm and pick one path (e.g., computer vision) to put my energy and time into?
Generally working on projects is the way you gain expertise and deeper insight into Topics. While AI Is a broad field I think the best way to approach it is based on solving issues you want solved. For example build something that can see if your mail has been deliverd with computer vision. I find solving my own issues with real data is/was the best practice
I m in my third year its been 3 weeks I have been working with the startup now. This is my first internship land its been really hectic for me idk why as u said in theory and working on a real project is very different. in my third year its been 3 weeks I have been working with the startup now. This is my first internship land its been really hectic for me idk why as u said in theory and working on a real project is very different. They are training me for now. Everything you said making a lot more sense to me. Its so precise, I want to know how to be good at any domain, as without experience will never know whats inside. Apart from this, I want to know I am from a tier 3 college in third year, my internship is 6 months and I am confused whether I should focus on Dsa to prepare for good companies or excel in any one of the domains, I want to know the interview process for good companies as a ML engineer. I m confused whether I should focus on software engineering roles or do ML. As getting a job in this field is difficult. I am hoping a reply thank you. You make amazing videos, you have clarity of thoughts(:
1. Focus on AI/ML from 3rd year if you really like this field and are ready to devote a lot of time to it. Keep in mind it will be harder to get jobs, and your best shot would be to get placed at startups and not major MNC's.
2. You can work on data structures,algorithms and competitive programming if you want to crack software engineering roles at good companies. A lot of people do that and then transition towards AI.
The final call is your decision to make, however it is always a good idea to keep brushing dsa and algorithm concepts as it turns out to be pretty useful in AI roles as well.
@@NachiketaHebbar phd holders and math wizards are the only ones who get job in AI role at faang companies right?
That's pog
Hello buddy !! Can you please tell me the Salary for Freshers and for experience in AI
If someone has a Masters program in AI please tell me.
Freshers 0 year exp =
Experience 1-5 yr exp = ??
Hi! I have a doubt
I have done a image classification project for waste segregation.
I got above 90% of both training and validation accuracies.
But the model didn't make most of the correct predictions.
Can you help me on this!!!
seems like you have overfitted the model. 1) have a similar number of images in each class of the dataset, you can achieve this by data augmentation. 2) try regularization techniques like dropout. 3) early stopping is also useful
Sir I want to talk with you
hii bro...i am currently 17 and have decided to pursue career in AI & ML completely on my own thoughts ,interests and ideas ....But still i need to know how much rush is there in this field because nowadays everyone is interested in computer engineering looking at high salaries . So do many people flock out here and is there high competition in this field ? Please respond as i do not have any relative or teacher in any scientific field to discuss...