I was once interviewed by someone from Amex when I was in my first job and the guy on the other end was very sarcastic when I told him I applied Logistic Regression. Observing something similar here. The candidate says "Linear Regression" and you guys start laughing at him. Please don't do that. Let's not forget that advanced concepts like Factor Analysis are also using Linear Regression under the hood. My 2 cents.
True. If something as simple as linear regression works, there is no need to complicate your model just because you know some fancier techniques. Occam's razor!
Exactly. I don't understand what the need to laugh was. Everyone is a beginner one day and there is always someone better than you. Humility is the most important when it comes to knowledge
In bagging it will only have a row sampling with replacement. So when we do train a decision tree, it would endup with correlated trees, because same feature will be repeated in every trees, so solving this we introduced a random forest, where we use column subspace, which means we can only bulid a trees from random subset of features, so it introduced a randomness in the features, so we endup in uncorrelated tress in random forest
This is not entirely right. Both bagging classifier as well as random forests have a hyperparameter of max_features which allows for random column sampling. However, the difference is in how it is done: in bagging classifier, the randomly chosen features are given to each tree such that during the entire training process it only has access to those features. However, in random forests, the random chosen features are sent to each tree at each node. So at every node we have access to all the possible features out of which a selected number are chosen. For example, if there are 10 features and max_features is set to 3: In bagging classifier- Each tree has access to only 3 randomly chosen features decided at the root node level. In random forests: At every node of each tree, 3 out of the total 10 features are randomly chosen. This random forests generalize the model better because of that additional level of randomness
Good thing about the interview: It's informative letting the candidate and the viewers understand the areas they need to work on Bad thing: The interviewers considering themselves as God forgetting the fact that they can be similarly grilled if they are interviewed by someone having far better knowledge than them in this field.
I think krish is still humble but the other guy laughs a lot and smirks thinking he is some sort of God. I know some stanford ml phds who will eat him from breakfast. Humility is the most important and the smartest ones are the most humble
The most important word in the phrase "data science" is *Science*. Sorry, but these videos are not encouraging people to do good science, rather, they are encouraging one to memorize a number of statistical principles and the "workings" of a data science algorithm and regurgitate it to impress the interviewers. And what people don't see is that Krish has set up a store selling his t-shirts and products all the while trying to convince people that he can prepare them for a data science job. Sorry, this is not how a data scientist can be successful.
Sir, I am Manav Israni and i’m in 12th standard from Science field, i am interested and want to move further in the field of data scientist, can u please guide me like for the best university for b tech in data science and about salary and all other matters and if i wanna go to abroad like United States for studying, please guide me I’m confused!
I don't think there's a Btech in data science. You can go for CS since it overlaps a lot with data science and then take a course of data science or, if you have the means, do a master's in data science.
This sudanshu guy was so embarassed in his interview in his past journey lol.. that he still has that insecurity with him. He still hasn't moved on from that and leads to this unprofessional behaviour
I am a Data Scientist and I would hire this guy based on:
1. Knowledge
2. Humility
3. Courage to say "I don't know"
Hii I am fresher in data scientist profile
Thumbs Up for Prasanna and Thumbs down for Interviewers
Kudos to Prasana for his efforts!!!
Hi sir your doing great job i too completed diplamo in mechanical engineering now I am learning data science one day I will give my interview also
I was once interviewed by someone from Amex when I was in my first job and the guy on the other end was very sarcastic when I told him I applied Logistic Regression.
Observing something similar here. The candidate says "Linear Regression" and you guys start laughing at him. Please don't do that. Let's not forget that advanced concepts like Factor Analysis are also using Linear Regression under the hood.
My 2 cents.
True. If something as simple as linear regression works, there is no need to complicate your model just because you know some fancier techniques. Occam's razor!
Exactly. I don't understand what the need to laugh was. Everyone is a beginner one day and there is always someone better than you. Humility is the most important when it comes to knowledge
great clarity over some complex things
That dude said "like" One million times
Stream starts at 5:50 😐
Sir your work's really insightful and helpful for fellow aspirants and the community too..
Thaanaee thalapathy prasannaa ku ooohh poddaeee💥💥💥
In bagging it will only have a row sampling with replacement. So when we do train a decision tree, it would endup with correlated trees, because same feature will be repeated in every trees, so solving this we introduced a random forest, where we use column subspace, which means we can only bulid a trees from random subset of features, so it introduced a randomness in the features, so we endup in uncorrelated tress in random forest
This is not entirely right. Both bagging classifier as well as random forests have a hyperparameter of max_features which allows for random column sampling. However, the difference is in how it is done: in bagging classifier, the randomly chosen features are given to each tree such that during the entire training process it only has access to those features. However, in random forests, the random chosen features are sent to each tree at each node. So at every node we have access to all the possible features out of which a selected number are chosen. For example, if there are 10 features and max_features is set to 3:
In bagging classifier-
Each tree has access to only 3 randomly chosen features decided at the root node level.
In random forests:
At every node of each tree, 3 out of the total 10 features are randomly chosen.
This random forests generalize the model better because of that additional level of randomness
@@Tusharchitrakar are you student of CampusX?
@@sagarbhalerao374 nope but I do love that channel. Currently working in generative AI though at an edtech as a mle
@@Tusharchitrakar Nice 👍
I think someone had grilled Sudhanshu very bad in one of the interviews, that is why he hides his insecurity by the trademark smirk!
Great bro you did well 🙌
Good thing about the interview: It's informative letting the candidate and the viewers understand the areas they need to work on
Bad thing: The interviewers considering themselves as God forgetting the fact that they can be similarly grilled if they are interviewed by someone having far better knowledge than them in this field.
I think krish is still humble but the other guy laughs a lot and smirks thinking he is some sort of God. I know some stanford ml phds who will eat him from breakfast. Humility is the most important and the smartest ones are the most humble
hey krish can you make such videos again with good and talented candidates.
Thanks krish , for saying the answers
Grt video krish...most wanted
Thanks Krish
Good Interview
SIR PLEASE can you make a video on Test time AUGMENTATION please
Sudanshu thinks he’s GOD
Dude needs to be humbled instead of laughing at freshers.
I have given interview for AES intern in MAANG, and those seemed way more scarier and godly than Sudhanshu. So may be its too common
People like random forest because less interview questions rather than logistics and other model😂
The guy on the bottom wants to show off being a guru by discouraging the candidate. What's the point? Take it easy man.
crazy up in there
When will the Deep Learning masters (course) at ineuron start?
what if I can deep fake all 3 of them?
Krish how can we apply for the interview?
Can I interview there?
The most important word in the phrase "data science" is *Science*. Sorry, but these videos are not encouraging people to do good science, rather, they are encouraging one to memorize a number of statistical principles and the "workings" of a data science algorithm and regurgitate it to impress the interviewers. And what people don't see is that Krish has set up a store selling his t-shirts and products all the while trying to convince people that he can prepare them for a data science job. Sorry, this is not how a data scientist can be successful.
What's your recommendation to get better at the science part. I'd love to hear your thoughts .
தமிழனுக்கே உண்டான திமிருயா உணக்கு😂😂
starts at 9:45
whenever, sudhanshu sir laugh that means the interview is giving wrong ans
I would like to build a model to know how many times he said 'like' in this whole interview.
Using python speech to text u can get the text format of his spoken words. nd then write count("like") . U will get the result ☺
Sir, I am Manav Israni and i’m in 12th standard from Science field, i am interested and want to move further in the field of data scientist, can u please guide me like for the best university for b tech in data science and about salary and all other matters and if i wanna go to abroad like United States for studying, please guide me I’m confused!
I don't think there's a Btech in data science. You can go for CS since it overlaps a lot with data science and then take a course of data science or, if you have the means, do a master's in data science.
21:00
how to apply to be a part as a participant in the mock interview series?
This sudanshu guy was so embarassed in his interview in his past journey lol.. that he still has that insecurity with him. He still hasn't moved on from that and leads to this unprofessional behaviour
what about your marriage it's December
👹👹👹