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TensorGo Technologies Machine Learning Intern Interview Questions and Answers

Updated 3 Oct 2024

TensorGo Technologies Machine Learning Intern Interview Experiences

1 interview found

Machine Learning Intern Interview Questions & Answers

user image S Hemanth Srinivas

posted on 3 Oct 2024

Interview experience
2
Poor
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via campus placement at Raghu Engineering College, Visakhapatnam and was interviewed in Apr 2024. There were 2 interview rounds.

Round 1 - Assignment 

Speech to Speech bot

Round 2 - Technical 

(2 Questions)

  • Q1. Write code to implement CNN on notepad
  • Ans. 

    Implementing CNN code on notepad

    • Start by defining the CNN architecture with layers like Conv2D, MaxPooling2D, Flatten, and Dense

    • Compile the model with appropriate loss function and optimizer

    • Train the model on a dataset using fit() function

    • Evaluate the model's performance using test data and metrics like accuracy

  • Answered by AI
  • Q2. Explain the internal mechanism of LLM ?
  • Ans. 

    LLM stands for Latent Language Model, which is a type of machine learning model used for natural language processing tasks.

    • LLM is a type of language model that learns to predict the next word in a sentence based on the context provided.

    • It uses latent variables to capture the underlying structure of the language.

    • LLM can be trained using unsupervised learning techniques such as autoencoders or variational autoencoders.

    • Ex...

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Company Website and was interviewed in Nov 2024. There were 2 interview rounds.

Round 1 - Aptitude Test 

Logical, Verbal, reasoning 90 mins

Round 2 - Technical 

(2 Questions)

  • Q1. ML algorithms and Explain it?
  • Q2. Print even numbers in for loop?
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.

Round 1 - Technical 

(3 Questions)

  • Q1. What is evaluation Matrix for classification
  • Ans. 

    Evaluation metrics for classification are used to assess the performance of a classification model.

    • Common evaluation metrics include accuracy, precision, recall, F1 score, and ROC-AUC.

    • Accuracy measures the proportion of correctly classified instances out of the total instances.

    • Precision measures the proportion of true positive predictions out of all positive predictions.

    • Recall measures the proportion of true positive p...

  • Answered by AI
  • Q2. What L1 and L2 regression
  • Ans. 

    L1 and L2 regression are regularization techniques used in machine learning to prevent overfitting.

    • L1 regression adds a penalty equivalent to the absolute value of the magnitude of coefficients.

    • L2 regression adds a penalty equivalent to the square of the magnitude of coefficients.

    • L1 regularization can lead to sparse models, while L2 regularization tends to shrink coefficients towards zero.

    • L1 regularization is also know...

  • Answered by AI
  • Q3. Explain random forest algorithm
  • Ans. 

    Random forest is an ensemble learning algorithm that builds multiple decision trees and combines their predictions.

    • Random forest creates multiple decision trees using bootstrapping and feature randomization.

    • Each tree in the random forest is trained on a subset of the data and features.

    • The final prediction is made by averaging the predictions of all the trees (regression) or taking a majority vote (classification).

  • Answered by AI
Round 2 - HR 

(2 Questions)

  • Q1. Tell me about self
  • Ans. 

    I am a dedicated and passionate Machine Learning Engineer with a strong background in computer science and data analysis.

    • Experienced in developing machine learning models for various applications

    • Proficient in programming languages such as Python, R, and Java

    • Skilled in data preprocessing, feature engineering, and model evaluation

    • Strong understanding of algorithms and statistical concepts

    • Excellent problem-solving and ana

  • Answered by AI
  • Q2. Questions about salary discuss

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Apr 2024. There were 3 interview rounds.

Round 1 - HR 

(2 Questions)

  • Q1. Screening round: Tell me about your experiences?
  • Q2. Tell me Learning and development challenges you faced and improvements you have done
Round 2 - Aptitude Test 

Genral and technical aptitude test

Round 3 - Technical 

(5 Questions)

  • Q1. Overall experience?
  • Q2. What was challenging role in previous org?
  • Q3. How you see L&D from your perspective?
  • Q4. How you tackle problems in your role?
  • Q5. How will you onboard 500 candidates every month?
  • Ans. 

    By creating a structured onboarding process, utilizing technology for efficiency, and leveraging a team of trainers.

    • Develop a comprehensive onboarding program with clear objectives and timelines.

    • Utilize technology such as online training modules and virtual onboarding sessions.

    • Assign a team of trainers to handle different aspects of the onboarding process.

    • Implement a buddy system where existing employees mentor new hir...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Be prepared and try to avoid silly mistakes. Focus on attire and communications.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Basic Stats questions
  • Q2. Basic ML questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn

Round 1 - HR 

(2 Questions)

  • Q1. Describe about yourself
  • Ans. 

    I am a passionate and experienced Learning & Development Specialist with a strong background in designing and delivering effective training programs.

    • Over 5 years of experience in creating engaging learning materials

    • Skilled in conducting needs assessments and developing training plans

    • Proficient in utilizing various instructional design methodologies

    • Strong communication and presentation skills

    • Proven track record of impro...

  • Answered by AI
  • Q2. Why is this job
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected
Round 1 - Technical 

(1 Question)

  • Q1. Started with basic os or network fundamentals like analyzing a core dump, handling tcp packet loss, difference between rest api and grpc etc. Then, from ML started with basic questions like bias variance t...
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Projects we have done earlier
  • Ans. 

    We have worked on various projects involving image recognition, natural language processing, and predictive analytics.

    • Image recognition: Developed a model to classify different types of fruits based on images.

    • Natural language processing: Created a sentiment analysis tool for customer reviews.

    • Predictive analytics: Built a model to forecast sales based on historical data.

  • Answered by AI
  • Q2. Aptitude questions
Round 2 - HR 

(1 Question)

  • Q1. Shift timings and salary discussion
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Details explain about project
  • Q2. Explain Module in ml
  • Ans. 

    A module in machine learning is a self-contained unit that performs a specific task or function.

    • Modules can include algorithms, data preprocessing techniques, evaluation metrics, etc.

    • Modules can be combined to create a machine learning pipeline.

    • Examples of modules include decision trees, support vector machines, and k-means clustering.

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Questions from the resume

TensorGo Technologies Interview FAQs

How many rounds are there in TensorGo Technologies Machine Learning Intern interview?
TensorGo Technologies interview process usually has 2 rounds. The most common rounds in the TensorGo Technologies interview process are Assignment and Technical.
What are the top questions asked in TensorGo Technologies Machine Learning Intern interview?

Some of the top questions asked at the TensorGo Technologies Machine Learning Intern interview -

  1. Explain the internal mechanism of LL...read more
  2. Write code to implement CNN on note...read more

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