Issquared Inc Senior Engineer Interview Questions and Answers

Aptitude was quite easy with simple python questions

Asked basic questions on numpy and pandas

Q1. Python program questions
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Q2. OOPS based programming questions
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Q1. DSA - Linked List, Array and Strings
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Q1. Why should we hire you
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Q1. What is hyperparameter tuning?
Ans. 
Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.
• Hyperparameters are parameters that are set before the learning process begins.

• Hyperparameter tuning involves adjusting hyperparameters to optimize the model's performance.

• Common techniques for hyperparameter tuning include grid search, random search, and Bayesian optimization.
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Q2. How do we train neural networks?
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Neural networks are trained using algorithms that adjust the weights and biases of the network based on the input data and desired output.
• Neural networks are trained using a process called backpropagation, where the error between the predicted output and the actual output is used to adjust the weights and biases of the network.

• Training data is fed into the neural network, and the network's output is compared to the des...read more
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Q3. What is overfitting?
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Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
• Overfitting happens when a model is too complex and captures noise in the training data.

• It can be identified when a model performs well on training data but poorly on unseen data.

• Techniques to prevent overfitting include cross-validation, regularization, and early ...read more
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Psuedo code based test

Q1. Coding question in any language of choice
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Q1. Multiple questions based on networking, OS, DSA, ML, puzzles and one coding question as well
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Q1. Interview with manager - combination of technical and behavioral
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Q1. Interview with Director - Technical theory questions based on networking
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Q1. No specific questions
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Basic coding questions

Q1. Core subjects like Operating System, Networking
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Q2. TCP, UDP protocols, working
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Q3. OSI, TC/IP working model
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Mcqs + 2 coding questions fairly easy one

Q1. Implement something which you donot know by researching
Ans. 
Implementing a neural network for image recognition
• Research different types of neural networks such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)

• Study how to preprocess image data and feed it into the neural network

• Learn about popular deep learning frameworks like TensorFlow or PyTorch

• Experiment with training a neural network on a dataset like MNIST for digit recognition
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Q1. Traversing the web pages which has links to other web pages in specific orders
Ans. 
Traversing web pages with links in specific orders requires web scraping and following the links recursively.
• Use web scraping tools like BeautifulSoup or Scrapy to extract links from web pages.

• Implement a recursive function to follow the links in specific orders (e.g. depth-first or breadth-first).

• Track visited pages to avoid infinite loops or revisiting the same pages.

• Handle errors and exceptions when accessing web pa
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Q2. Heap implementation
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Q1. Question on OOPS, c++
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Q2. Questions on resume
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