Vels University Interview Questions and Answers

Q1. Kindly guide me about the total interview process
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Q2. Kindly guide me interview process
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Q3. Guide each and everything about branch manager interview in Naryana E Techno
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Q1. Practical knowledge of differential equations
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Q2. Types of differential equations and their difference
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Differential equations can be classified into ordinary and partial differential equations based on the number of independent variables they involve.
• Ordinary differential equations involve a single independent variable, while partial differential equations involve multiple independent variables.

• Examples of ordinary differential equations include dy/dx = x^2 and d^2y/dx^2 + y = 0.

• Examples of partial differential equation...read more
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Q3. Why we use multiple integral
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Multiple integrals are used to calculate volumes, areas, and other quantities in higher dimensions.
• Multiple integrals are used to calculate volumes of 3D shapes, such as cubes, spheres, and cylinders.

• They are also used to find areas of 2D regions, such as circles, ellipses, and irregular shapes.

• Multiple integrals are essential in physics for calculating mass, center of mass, and moments of inertia.

• They are also used in...read more
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Q4. What is the use of Fourier transform and Laplace transform in real life
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Fourier transform is used to analyze and process signals in frequency domain, while Laplace transform is used in control systems and circuit analysis.
• Fourier transform is used in image processing to enhance and filter images

• Laplace transform is used in control systems to analyze stability and transient response

• Fourier transform is used in audio signal processing to analyze and manipulate sound waves

• Laplace transform is...read more
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Q5. How many types of infinite series are there?
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There are various types of infinite series, including arithmetic, geometric, harmonic, alternating, and power series.
• Arithmetic series: Sum of terms in a sequence with a common difference.

• Geometric series: Sum of terms in a sequence with a common ratio.

• Harmonic series: Sum of the reciprocals of the terms in a sequence.

• Alternating series: Series in which the signs of the terms alternate.

• Power series: Series in which eac
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Q6. What is rank and how we can find it
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Rank is the position or status of someone or something in relation to others.
• Rank is a relative position in a hierarchy or scale.

• It can be determined by comparing qualities or attributes of individuals or objects.

• Rank can be found by sorting or ordering a group based on a specific criteria.

• For example, in a class of students, rank can be determined by their grades or performance.

• In sports, rank can be determined by the
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Q7. What is indeterminate form?? Types ??
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Indeterminate form is a mathematical expression that cannot be easily evaluated. Types include 0/0, ∞/∞, 0*∞, ∞-∞, 0^0, and ∞^0.
• Indeterminate form occurs when the limit of a function approaches a certain value but the function itself is undefined at that point.

• Types of indeterminate forms include 0/0, ∞/∞, 0*∞, ∞-∞, 0^0, and ∞^0.

• Examples of indeterminate forms are 0/0 when evaluating limits like lim(x->0) (sin(x)/x), a...read more
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Q1. Salary expectation??
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Q1. Tell me about yourself?
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I am a dedicated and detail-oriented individual with a passion for research and a strong academic background in [specific field].
• Graduated with a degree in [specific field]

• Experience conducting research projects

• Strong analytical and critical thinking skills

• Passionate about contributing to the field of [specific field]
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Q2. Why do you want to do this job?
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I am passionate about conducting research and contributing to the advancement of knowledge in this field.
• Passionate about conducting research

• Desire to contribute to the advancement of knowledge

• Interest in the specific field of research
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Q1. General about past roles and responsibilities.
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Stay away from any assignments given. The interviewer tells you to submit a long report with specific work for the company and then the company ghosts you after getting the report. When you reach to them for update they tell you the interviewer did not find the assignment work up to the mark and tell some different topic was to be done. They just get some work done through you.

Q1. Tell me about your background
Ans. 
I have a diverse background in training and development, with experience in designing and delivering effective training programs.
• Bachelor's degree in Education

• Certified in instructional design

• Experience working as a training coordinator for XYZ Company

• Proficient in using learning management systems

• Skilled in conducting needs assessments and evaluating training effectiveness
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Q2. Tell me about industrial experience
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I have over 10 years of industrial experience in training and development, specializing in safety protocols and compliance.
• Developed and implemented training programs for new hires and existing employees

• Conducted safety audits and inspections to ensure compliance with regulations

• Collaborated with management to identify training needs and create customized programs

• Utilized various training methods such as workshops, onl
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Q3. Tell me about your training experience
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I have over 5 years of experience in designing and delivering training programs for various industries.
• Designed and implemented onboarding training for new hires

• Conducted workshops on leadership development and communication skills

• Utilized e-learning platforms to create interactive training modules

• Evaluated training effectiveness through assessments and feedback

• Collaborated with subject matter experts to ensure trainin
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Q1. Which types of lines are used in engineering drawing
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Different types of lines used in engineering drawing include object lines, hidden lines, center lines, dimension lines, and extension lines.
• Object lines are thick, continuous lines used to outline the shape of an object.

• Hidden lines are used to represent features that are not visible in the current view.

• Center lines are used to indicate the center of a circle or arc.

• Dimension lines show the size of an object or part.

• Ex...read more
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Q2. What are measuring instruments
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Measuring instruments are tools used to quantify, monitor, and record physical quantities such as length, weight, temperature, and time.
• Measuring instruments are used to ensure accuracy and consistency in measurements.

• Examples include rulers, thermometers, scales, stopwatches, and voltmeters.

• They can be analog or digital, depending on the type of measurement being taken.

• Calibration is important to ensure the accuracy o...read more
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Q3. What is least count?
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Least count is the smallest measurement that can be made using a measuring instrument.
• It is the smallest division that can be measured on a scale or instrument.

• It helps in determining the precision of the instrument.

• For example, if a ruler has a least count of 1 mm, it means that the smallest measurement that can be made is 1 mm.
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Q4. Can work on ms excel?
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Q5. What is CNC machine?
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CNC machine stands for Computer Numerical Control machine, which is a computer-controlled machine tool used for cutting and shaping materials.
• CNC machines are used in manufacturing to automate processes such as cutting, drilling, milling, and more.

• They operate based on pre-programmed computer software that controls the movement of the machine's tools.

• Examples of CNC machines include CNC routers, CNC mills, CNC lathes,
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Q1. How do you train semi supervised machine learning models?
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Train semi supervised machine learning models by using a combination of labeled and unlabeled data.
• Start by training a model on a small amount of labeled data

• Use the trained model to make predictions on the unlabeled data

• Incorporate the predictions into the training set and retrain the model

• Repeat the process until the model reaches a satisfactory level of performance
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Q2. What are the parametric types of machine learning?
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Parametric types of machine learning are algorithms that make assumptions about the functional form of the relationship between inputs and outputs.
• Parametric models have a fixed number of parameters that are learned from the training data.

• Examples include linear regression, logistic regression, and linear SVM.

• They are often simpler and faster to train compared to non-parametric models.

• Parametric models are suitable for...read more
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Q3. What are the types of Machine Learning?
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Types of Machine Learning include supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, and self-supervised learning.
• Supervised Learning: The model is trained on labeled data.

• Unsupervised Learning: The model is trained on unlabeled data.

• Semi-Supervised Learning: A combination of labeled and unlabeled data is used for training.

• Reinforcement Learning: The model learns through trial...read more
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Q4. Explain Eigen value
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Eigen value is a scalar associated with a square matrix that represents how a transformation stretches or compresses space along its eigenvectors.
• Eigen values are solutions to the characteristic equation det(A - λI) = 0, where A is the matrix, λ is the eigen value, and I is the identity matrix.

• They represent the factor by which the eigenvector is scaled during the transformation.

• Eigen values can be real or complex numb...read more
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Q5. What is Eigen Vector
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Eigen vector is a vector that does not change its direction when a linear transformation is applied to it.
• Eigen vectors are used in linear algebra to understand the behavior of linear transformations.

• They represent directions along which a linear transformation has a simple effect, such as scaling.

• Eigen vectors are associated with eigenvalues, which represent the scaling factor of the eigenvector.

• For example, in a 2x2 ...read more
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Q6. What is the maths behind PCA
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PCA is a mathematical technique used for dimensionality reduction by finding the principal components of a dataset.
• PCA involves calculating the eigenvectors and eigenvalues of the covariance matrix of the data.

• The eigenvectors represent the directions of maximum variance in the data, while the eigenvalues indicate the amount of variance along each eigenvector.

• The principal components are the eigenvectors corresponding ...read more
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Q7. If you are given a small dataset of 300 samples, what would you choose over a neural network with more number of hidden layers or a neural network with one hidden layer. Justify your explanation in terms o...read more
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For a small dataset of 300 samples, a neural network with one hidden layer would be more suitable for better accuracy.
• A neural network with one hidden layer is simpler and less prone to overfitting on a small dataset.

• With a small dataset, a complex neural network with more hidden layers may lead to overfitting and poor generalization.

• A neural network with one hidden layer can capture the basic patterns in the data effe...read more
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Q8. Can a neural network accept complex number as input?
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Yes, a neural network can accept complex numbers as input.
• Neural networks can be designed to accept complex numbers as input by using complex-valued weights and activations.

• Complex-valued neural networks have been used in applications such as signal processing and image recognition.

• Complex numbers can represent both magnitude and phase information, making them useful for certain types of data.

• Complex-valued neural netw...read more
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Q9. What is kmeans algorithm, Explain it?
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kmeans algorithm is a clustering algorithm that partitions data into k clusters based on similarity.
• Divides data points into k clusters based on distance from centroid

• Iteratively assigns data points to nearest centroid and updates centroids

• Converges when centroids no longer change significantly

• Commonly used in machine learning for clustering data points
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Q10. What are the evaluation metrics?
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Evaluation metrics are used to measure the performance or effectiveness of a system, project, or process.
• Evaluation metrics can include quantitative measures such as accuracy, precision, recall, F1 score, and AUC-ROC.

• They can also include qualitative measures such as user satisfaction, usability, and user engagement.

• Evaluation metrics help in assessing the success of a project or system and identifying areas for improv...read more
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Q11. Machine learning vs Deep Learning
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Machine learning is a subset of artificial intelligence that focuses on developing algorithms to make predictions based on data, while deep learning is a subset of machine learning that uses neural networks to learn from large amounts of data.
• Machine learning involves developing algorithms that can learn from and make predictions or decisions based on data.

• Deep learning is a subset of machine learning that uses neural ...read more
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Q12. How do you select k value in kmeans algorithm?
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Selecting k value in kmeans algorithm involves using techniques like elbow method and silhouette score.
• Use the elbow method to find the point where the rate of decrease sharply shifts, indicating the optimal k value.

• Calculate silhouette score for different k values and choose the one with the highest score.

• Consider domain knowledge and the specific problem requirements when selecting k value.

• Experiment with different k...read more
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Q13. How do you calculate precision & recall for n x n confusion matrix?
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Precision and recall can be calculated using values from a confusion matrix.
• Precision = TP / (TP + FP)

• Recall = TP / (TP + FN)

• Where TP = True Positive, FP = False Positive, FN = False Negative

• For an n x n confusion matrix, sum the values in each row and column to get TP, FP, and FN for each class
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Q1. Basic Statistical Questions
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Q2. Thesis Project work
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Q3. Why want to join academia/research?
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Q1. About Experience
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Q2. About Academics and teaching
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Q3. Subjective handling
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Q1. General Strategies
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Q2. Leadership qualities
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Q3. Educational Background
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Q4. Student Handling
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Q5. Drop out Handling
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Q6. Marketing and Media
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Q7. Budgeting and practical
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