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One of the challenges in the project was integrating multiple NLP models with different architectures.
Ensuring compatibility and consistency between models
Handling different input formats and output structures
Optimizing performance and computational resources
Addressing potential conflicts or biases between models
Text embedding is a technique to convert text data into numerical vectors for machine learning models.
Text embedding captures semantic meaning of words in a continuous vector space.
Popular methods include Word2Vec, GloVe, and BERT.
Embeddings can be pre-trained or learned from scratch depending on the task.
They are used in NLP tasks like sentiment analysis, text classification, and machine translation.
I applied via Recruitment Consulltant and was interviewed in Jan 2022. There were 2 interview rounds.
Optimizers exist in FFNs to update weights, but many exist due to different optimization techniques and trade-offs.
Different optimizers use different optimization techniques such as momentum, adaptive learning rates, and regularization.
Optimizers have different trade-offs such as convergence speed, generalization, and robustness to noisy data.
The choice of optimizer depends on the specific problem and data set.
Examples...
Layer normalisation is a technique used to normalise the inputs to each layer of a feedforward neural network.
It is similar to batch normalisation but normalises the inputs to each layer instead of the entire batch.
It helps in reducing the internal covariate shift problem.
It can be applied to any type of activation function.
It is particularly useful in recurrent neural networks.
Example: LayerNorm in PyTorch.
Build an airline system to recommend routes from city 1 to city 2 with direct and connecting flights.
Create a graph with cities as nodes and connections as edges
Use Dijkstra's algorithm to find shortest path between city 1 and city 2
For connecting flights, find all possible paths with one or more stops
Sort and recommend routes based on total distance and number of stops
This function takes a string input and returns all possible combinations of characters in that string without repeated letters.
Use the itertools module to generate all possible permutations of the string.
Filter out the permutations that have repeated letters using a set.
Convert the filtered permutations into a list of strings.
I applied via Recruitment Consultant and was interviewed before Nov 2019. There were 3 interview rounds.
Effort estimation is the process of predicting the amount of time, resources, and cost required to complete a project or task.
Effort estimation is crucial for project planning and management.
It involves breaking down the project into smaller tasks and estimating the time and resources required for each task.
Various techniques can be used for effort estimation, such as expert judgment, historical data analysis, and para...
A WBS is a hierarchical breakdown of project deliverables into smaller, manageable components.
WBS is used to organize and define the scope of a project
It breaks down the project into smaller, more manageable components
Each component is called a work package
The WBS is hierarchical, with the top level being the project deliverable and the lower levels being the work packages
It helps in estimating project costs, time and ...
The project life cycle consists of initiation, planning, execution, monitoring and control, and closure.
Initiation: Defining the project scope, objectives, and stakeholders.
Planning: Developing a detailed project plan, including timelines, budget, and resources.
Execution: Implementing the project plan and completing the work.
Monitoring and Control: Tracking progress, identifying and managing risks, and making necessary...
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For loop is used for iterating over a range of values while for each loop is used for iterating over elements of an array.
For loop is used when the number of iterations is known beforehand.
For each loop is used when the number of iterations is not known beforehand.
For loop can be used with any iterable object.
For each loop can only be used with arrays and other iterable objects.
For loop uses an index variable to access...
I applied via TCS NQT and was interviewed in Jun 2021. There was 1 interview round.
I appeared for an interview before Jun 2016.
I appeared for an interview before Aug 2016.
I applied via Campus Placement and was interviewed before Sep 2019. There were 5 interview rounds.
C is a programming language used to create software and operating systems.
C is a low-level language that allows direct access to computer hardware.
It is used to create efficient and fast programs.
C is the foundation for many other programming languages such as C++, Java, and Python.
Examples of C programs include operating systems, device drivers, and video games.
My hobbies include hiking, photography, and cooking.
Hiking: I enjoy exploring nature trails and challenging myself physically.
Photography: I love capturing beautiful moments and landscapes through my camera lens.
Cooking: I find joy in experimenting with new recipes and creating delicious meals for my friends and family.
I applied via Campus Placement and was interviewed before Aug 2021. There were 3 interview rounds.
Easy aptitude questions based on logical reasoning and basic maths.
Easy logic-based question based on arrays and strings with some javascript output-based questions.
Discussion about the projects that I made in college and the tech stack I know.
1 basic array/string-based problem.
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