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I applied via Newspaper Ad and was interviewed before Nov 2023. There was 1 interview round.
Assignment topic is classify the problem of ML and solve them.
Top trending discussions
I appeared for an interview in Dec 2023.
English, number system, grammar
Python , data science, machine learning
Python machine learning, natural language precossing
Python basics include syntax, data types, and control structures. Libraries like NumPy, Pandas, and Matplotlib enhance data analysis and visualization.
Python basics cover syntax, variables, data types, and control structures.
NumPy is a library for numerical computing, providing powerful array operations.
Pandas is a library for data manipulation and analysis, offering data structures like DataFrames.
Matplotlib is a libr...
Indian environment, village, college days
I applied via Campus Placement
I applied via Campus Placement and was interviewed in Dec 2023. There was 1 interview round.
Large Language Models are advanced AI models that can generate human-like text based on input data.
Large Language Models use deep learning techniques to understand and generate text.
Examples include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).
They are trained on vast amounts of text data to improve their language generation capabilities.
RAGs stands for Red, Amber, Green. It is a project management tool used to visually indicate the status of tasks or projects.
RAGs is commonly used in project management to quickly communicate the status of tasks or projects.
Red typically indicates tasks or projects that are behind schedule or at risk.
Amber signifies tasks or projects that are on track but may require attention.
Green represents tasks or projects that ar...
There is no one-size-fits-all answer as the best clustering algorithm depends on the specific dataset and goals.
The best clustering algorithm depends on the dataset characteristics such as size, dimensionality, and noise level.
K-means is popular for its simplicity and efficiency, but may not perform well on non-linear data.
DBSCAN is good for clusters of varying shapes and sizes, but may struggle with high-dimensional d...
I applied via Campus Placement and was interviewed in Jun 2024. There were 2 interview rounds.
Some basic aptitude questions were asked , but had to be solved in 20 minutes
Medium level 2 leet code questions were asked and i cleared both
I applied via Approached by Company and was interviewed in Dec 2023. There was 1 interview round.
Basic DSA questions will be asked Leetcode Easy to medium
BERT is faster than LSTM due to its transformer architecture and parallel processing capabilities.
BERT utilizes transformer architecture which allows for parallel processing of words in a sentence, making it faster than LSTM which processes words sequentially.
BERT has been shown to outperform LSTM in various natural language processing tasks due to its ability to capture long-range dependencies more effectively.
For exa...
Multinomial Naive Bayes is a classification algorithm based on Bayes' theorem with the assumption of independence between features.
It is commonly used in text classification tasks, such as spam detection or sentiment analysis.
It is suitable for features that represent counts or frequencies, like word counts in text data.
It calculates the probability of each class given the input features and selects the class with the
I applied via Naukri.com and was interviewed before Oct 2019. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in May 2021. There were 3 interview rounds.
Mcq and 2 coding(basic)
OOPs is a programming paradigm based on the concept of objects, which can contain data and code.
OOPs stands for Object-Oriented Programming.
It focuses on creating objects that interact with each other to solve a problem.
Encapsulation, Inheritance, Polymorphism, and Abstraction are the four main pillars of OOPs.
Encapsulation is the process of hiding the implementation details of an object from the outside world.
Inherita...
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