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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.
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
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.
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.
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 nece...
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...
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...
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.
Exa...
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
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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I applied via Referral and was interviewed before Nov 2020. There were 3 interview rounds.
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.
I felt stressed last month while managing a tight project deadline and coordinating with multiple stakeholders.
Tight deadlines: I had to deliver a project report within a week, which usually takes two weeks.
Stakeholder communication: Coordinating with different teams created confusion and misalignment.
Work-life balance: I struggled to maintain my personal time due to extended work hours.
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.
I am drawn to XenonStack for its innovative approach to technology and commitment to driving impactful business solutions.
XenonStack's focus on cutting-edge technologies like AI and cloud computing aligns with my passion for innovation.
The company's commitment to data-driven decision-making resonates with my analytical skills and experience in data analysis.
I admire XenonStack's collaborative culture, which fosters tea...
I bring a unique blend of analytical skills, industry knowledge, and a passion for problem-solving that aligns with your team's goals.
Proven track record in data analysis: Successfully improved operational efficiency by 20% in my previous role through data-driven insights.
Strong communication skills: Effectively collaborated with cross-functional teams to gather requirements and deliver actionable solutions.
Adaptabilit...
I tend to be overly detail-oriented, which can slow down my decision-making process at times.
I often spend too much time on data analysis, which can delay project timelines. For example, in a recent project, I took extra time to ensure every data point was accurate, which pushed back our delivery date.
I sometimes struggle with delegating tasks because I want to ensure everything is done perfectly. This was evident when...
I am a detail-oriented Business Analyst with a passion for data-driven decision-making and a strong background in project management.
Over 5 years of experience in business analysis across various industries, including finance and healthcare.
Skilled in gathering and analyzing requirements, as demonstrated in a project where I improved a client's reporting process by 30%.
Proficient in using tools like SQL and Tableau for...
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.
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 Naukri.com and was interviewed in Sep 2020. There were 3 interview rounds.
The HashMap class is used to represent key-value pairs in Java.
HashMap is a part of the Java Collections Framework.
It allows null values and only one null key.
It provides constant-time performance for basic operations like get and put.
Example: HashMap<String, Integer> map = new HashMap<>();
Abstraction is the process of simplifying complex systems by focusing on essential details and hiding unnecessary complexities.
Abstraction allows us to create models or representations of real-world objects or systems in software.
It helps in managing complexity by breaking down a system into smaller, more manageable parts.
Abstraction provides a level of indirection, allowing changes to be made in one part of the system...
try-catch is used in Java to handle exceptions and prevent program crashes.
try-catch blocks are used to catch and handle exceptions that may occur during program execution.
It allows the program to gracefully handle errors and prevent the program from crashing.
The try block contains the code that may throw an exception, and the catch block handles the exception.
Multiple catch blocks can be used to handle different types...
The statement to use for selecting based on integer inputs is the 'switch' statement.
The 'switch' statement allows for multiple cases to be evaluated based on the value of an integer input.
Each case represents a possible value of the input, and the corresponding code block is executed if the value matches.
The 'switch' statement also provides a 'default' case which is executed if none of the cases match the input value.
...
posted on 1 Sep 2021
Some of the top questions asked at the Senseforth interview -
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