I am a student from 2nd Year MBA, doing specialization in Analytics. Here if an interviewer asks me why you used this model? How can I say that "this model improved the accuracy" as where is the scope of improvement, where I am using this for the first time. How to answer?
@@thesamanta instead of directly telling this model improved accuracy... Just explain how other models yielded less accuracy & explain architecture & operation of newer model & say this improved accuracy... It's about explaining features of newer model & how they played a key role in improving accuracy
Let's not overcomplicate Nikhil's life :). You can choose not to have iNikhil. Say it confidently that you have not got an opportunity to work on these type of use cases yet but you know fundamentals of it.
@@UnfoldDataScience I have extensive hands-on experience from internships and projects in machine learning, deep learning, and natural language processing, with proficiency in MLOps tools like MLflow, DVC, Git, GitHub, GitHub Actions, Azure, Docker, and Kubernetes. Although I haven’t yet applied computer vision with Python, I’m highly motivated to learn and adapt if it's required for the role. I’m committed to dedicating my personal time to quickly mastering the necessary skills and making a meaningful impact. I heard we can say something similar in an interview if we lack 1 or 2 skills to compromise the interviewer, will this work? Instead of Computer vision i wanted to learn other MLOPS tools still i got 6 months if i want to learn CV
Thank you
Great video Aman, thanks.
Could you let us know more if the Churn rate is a big concept in AI ?
Thank you. No - it's a pretty simple concept. If you have right data it's not big deal
Great contents, keep going!
Thanks Diwakar
I am a student from 2nd Year MBA, doing specialization in Analytics. Here if an interviewer asks me why you used this model? How can I say that "this model improved the accuracy" as where is the scope of improvement, where I am using this for the first time. How to answer?
@@thesamanta instead of directly telling this model improved accuracy... Just explain how other models yielded less accuracy & explain architecture & operation of newer model & say this improved accuracy... It's about explaining features of newer model & how they played a key role in improving accuracy
Business side answer , birds eye view , soft akills , ask questions regarding company
Good one
Thabk you🙏🏻
You’re welcome 😊
thank you sir for the insightful video
Most welcome, pls share with friends
Is computer vision necessary? For junior data science role if not asked in jd?
These days you also need to be a CTO in a company to fit a junior role
@@karag4487 lol 😂
Let's not overcomplicate Nikhil's life :). You can choose not to have iNikhil. Say it confidently that you have not got an opportunity to work on these type of use cases yet but you know fundamentals of it.
@@UnfoldDataScience I have extensive hands-on experience from internships and projects in machine learning, deep learning, and natural language processing, with proficiency in MLOps tools like MLflow, DVC, Git, GitHub, GitHub Actions, Azure, Docker, and Kubernetes. Although I haven’t yet applied computer vision with Python, I’m highly motivated to learn and adapt if it's required for the role. I’m committed to dedicating my personal time to quickly mastering the necessary skills and making a meaningful impact.
I heard we can say something similar in an interview if we lack 1 or 2 skills to compromise the interviewer, will this work?
Instead of Computer vision i wanted to learn other MLOPS tools still i got 6 months if i want to learn CV
@@nikhilsastry6631 Do you have any work experience??
Very informative
Thanks, see you in Live this Sunday