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Providence Global Center Ai Ml Engineer Interview Questions, Process, and Tips

Updated 27 Jun 2024

Providence Global Center Ai Ml Engineer Interview Experiences

1 interview found

Interview experience
3
Average
Difficulty level
-
Process Duration
Less than 2 weeks
Result
Not Selected

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

Round 1 - Technical 

(5 Questions)

  • Q1. In binomial distribution what happens when "n" tends to infinity?
  • Ans. 

    As n tends to infinity in binomial distribution, it approaches a normal distribution.

    • As n tends to infinity, the shape of the binomial distribution curve becomes more symmetrical.

    • The mean and variance of the binomial distribution approach the mean and variance of a normal distribution.

    • The central limit theorem states that as n approaches infinity, the distribution of sample means approaches a normal distribution.

  • Answered by AI
  • Q2. What does det(A- lamda*I) = 0 represent?
  • Ans. 

    det(A- lamda*I) = 0 represents the characteristic equation of a matrix A.

    • It represents finding the eigenvalues of matrix A.

    • It is used to solve for the values of lambda that satisfy the equation.

    • The equation is used to determine the behavior of the matrix under certain transformations.

    • Example: For a 2x2 matrix A, det(A- lamda*I) = 0 gives a quadratic equation to solve for eigenvalues.

  • Answered by AI
  • Q3. In a given problem how do you determine which feature is important? (Think about Classification problem)
  • Q4. SQL query to find Set difference.
  • Ans. 

    SQL query to find Set difference between two tables.

    • Use the EXCEPT keyword in SQL to find the set difference between two tables.

    • The EXCEPT keyword returns rows from the first table that are not present in the second table.

    • Example: SELECT column_name FROM table1 EXCEPT SELECT column_name FROM table2;

  • Answered by AI
  • Q5. Explain K2S hypothesis testing
  • Ans. 

    K2S hypothesis testing is a statistical method used to compare two groups or samples.

    • K2S hypothesis testing involves comparing the means of two groups to determine if they are significantly different.

    • It is commonly used in research studies to test the effectiveness of a new treatment or intervention.

    • The test calculates a p-value, which indicates the probability of obtaining the observed results if the null hypothesis i

  • Answered by AI

Skills evaluated in this interview

Interview questions from similar companies

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

(2 Questions)

  • Q1. Ask me on project
  • Q2. Aws, sql, python, flask ask me

Interview Preparation Tips

Interview preparation tips for other job seekers - Not selected
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - One-on-one 

(2 Questions)

  • Q1. Question on NLP and Coding test
  • Q2. Maximum coding question from list and Regex
Round 3 - One-on-one 

(1 Question)

  • Q1. Project based question

Interview Preparation Tips

Interview preparation tips for other job seekers - Please prepare for Python coding question and Be prepare with your project
Interview experience
1
Bad
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Scenario based questions
Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. What is zip function
  • Ans. 

    The zip function in Python is used to combine multiple iterables into a single iterable of tuples.

    • Zip function takes two or more iterables as arguments and returns an iterator of tuples where the i-th tuple contains the i-th element from each of the input iterables.

    • If the input iterables are of different lengths, the resulting iterator will only have as many elements as the shortest input iterable.

    • Example: zip([1, 2, 3...

  • Answered by AI
  • Q2. What is NLP in Machine learning
  • Ans. 

    NLP (Natural Language Processing) in machine learning is the ability of a computer to understand, interpret, and generate human language.

    • NLP enables machines to analyze and derive meaning from human language data.

    • It involves tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.

    • Examples of NLP applications include chatbots, language translation services, and speech rec

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(5 Questions)

  • Q1. Describe any NLP project end to end.
  • Ans. 

    Developed a sentiment analysis model using NLP to analyze customer reviews for a product.

    • Collected and preprocessed text data from various sources

    • Performed tokenization, stopword removal, and lemmatization

    • Built a machine learning model using techniques like TF-IDF and LSTM

    • Evaluated the model's performance using metrics like accuracy and F1 score

    • Deployed the model for real-time sentiment analysis of new reviews

  • Answered by AI
  • Q2. What is cosine similarity?
  • Ans. 

    Cosine similarity is a measure of similarity between two non-zero vectors in an inner product space.

    • It measures the cosine of the angle between the two vectors.

    • Values range from -1 (completely opposite) to 1 (exactly the same).

    • Used in recommendation systems, text mining, and clustering algorithms.

  • Answered by AI
  • Q3. What is difference between iterator and iterable?
  • Ans. 

    Iterator is an object that allows iteration over a collection, while iterable is an object that can be iterated over.

    • Iterator is an object with a next() method that returns the next item in the collection.

    • Iterable is an object that has an __iter__() method which returns an iterator.

    • Example: List is iterable, while iter(list) returns an iterator.

  • Answered by AI
  • Q4. Write a python function for cosine similarity.
  • Ans. 

    Python function to calculate cosine similarity between two vectors.

    • Define a function that takes two vectors as input.

    • Calculate the dot product of the two vectors.

    • Calculate the magnitude of each vector and multiply them.

    • Divide the dot product by the product of magnitudes to get cosine similarity.

  • Answered by AI
  • Q5. How did you evaluate your model. what is F1 score.
  • Ans. 

    F1 score is a metric used to evaluate the performance of a classification model by considering both precision and recall.

    • F1 score is the harmonic mean of precision and recall, calculated as 2 * (precision * recall) / (precision + recall).

    • It is a better metric than accuracy when dealing with imbalanced datasets.

    • A high F1 score indicates a model with both high precision and high recall.

    • F1 score ranges from 0 to 1, where

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Hard
Process Duration
Less than 2 weeks
Result
No response

I applied via Job Portal and was interviewed in Dec 2024. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Question on random forest and linear regression
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I was interviewed in Jul 2024.

Round 1 - Coding Test 

Okay asked questions about ML , python , NLP , LLM

Round 2 - One-on-one 

(2 Questions)

  • Q1. Experience or relevancy
  • Q2. Communicate testing

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare using innovative concepts and emerging technologies, then showcase your project.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
More than 8 weeks
Result
No response

I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. About Handling Missing Values
  • Q2. Questions on Embedding

Interview Preparation Tips

Interview preparation tips for other job seekers - Only Round 1 is done. They said you got selected for Round 2 (Final Round) and no call happend. They removed candidature
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Apr 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Confusion matrix

Providence Global Center Interview FAQs

How many rounds are there in Providence Global Center Ai Ml Engineer interview?
Providence Global Center interview process usually has 1 rounds. The most common rounds in the Providence Global Center interview process are Technical.
What are the top questions asked in Providence Global Center Ai Ml Engineer interview?

Some of the top questions asked at the Providence Global Center Ai Ml Engineer interview -

  1. In binomial distribution what happens when "n" tends to infini...read more
  2. What does det(A- lamda*I) = 0 represe...read more
  3. SQL query to find Set differen...read more

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Providence Global Center Ai Ml Engineer Interview Process

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Interview experience

3
  
Average
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