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AIMonk Interview Questions and Answers
AIMonk Interview Experiences
4 interviews found
I was interviewed in Oct 2024.
We were asked to created an application on local system using yolo for object detection and use container as well.
(4 Questions)
- Q1. Decorators in python
- Ans.
Decorators in Python are functions that modify the behavior of other functions.
Decorators are defined using the @decorator_name syntax before a function definition.
They can be used to add functionality to existing functions without modifying their code.
Common use cases include logging, timing, and access control.
Example: @staticmethod decorator in Python makes a method static.
- Q2. Dropout, batch normalization
- Q3. Ensemble methods
- Q4. Tensorflow basic questions were asked. About custom model and custom dataset.
Skills evaluated in this interview
Machine Learning Engineer Interview Questions asked at other Companies
Siddharth Pandey
(2 Questions)
- Q1. What is accuracy in ml
- Ans.
Accuracy in machine learning measures how often the model makes correct predictions.
Accuracy is the ratio of correctly predicted instances to the total instances in the dataset.
It is a common evaluation metric for classification models.
Accuracy can be calculated using the formula: (TP + TN) / (TP + TN + FP + FN), where TP = True Positives, TN = True Negatives, FP = False Positives, FN = False Negatives.
For example, if ...
- Q2. What is recall in ml
- Ans.
Recall is a metric in machine learning that measures the ability of a model to find all relevant cases within a dataset.
Recall is calculated as the ratio of true positive cases to the sum of true positive and false negative cases.
It is also known as sensitivity or true positive rate.
A high recall value indicates that the model is good at identifying all relevant cases, even if it means more false positives.
For example,...
Skills evaluated in this interview
Data Analyst Interview Questions asked at other Companies
Selected
I applied via LinkedIn and was interviewed in Mar 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Basics in python
- Q2. Basic and advanced concepts in ML
Machine Learning Engineer Interview Questions asked at other Companies
I was interviewed before Apr 2023.
Assignment given to you over mail.
Python basic coding test
(1 Question)
- Q1. Technical indepth machine learning theory question related to project done in your past company
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Machine Learning Engineer Interview Questions & Answers
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Anonymous
posted on 26 Aug 2017
I was interviewed in Jun 2017.
Interview Questionnaire
3 Questions
- Q1. Tell me about about yourself?
- Ans.
I am a passionate Machine Learning Engineer with a background in computer science and a strong interest in AI technologies.
Background in computer science
Experience in machine learning
Passionate about AI technologies
- Q2. Tell about your academic or your hands on projects in which you are involved?
- Ans.
I have worked on projects involving natural language processing, computer vision, and predictive modeling.
Developed a sentiment analysis model using NLP techniques
Implemented a facial recognition system using computer vision algorithms
Built a predictive model for customer churn prediction
- Q3. Expected CTC?
Interview Preparation Tips
Experience: This round was "General Introduction Round" in which we have to introduce about our self-tell about hobbies and our family background and some lines about our hometown.
Tips: Just be confident and speak loudly and boldly.
Round: Test
Experience: It was online coding round via skype in which 5 questions were given out of which we have to do any 2.
Tips: "More you will practice more you will learn".
Duration: 20 minutes
Total Questions: 5
Round: Technical + HR Interview
Experience: This round was a combo with both technical and job questions. Questions were asked from my resume, basics questions in technical, general definitions and major questions from my project.
Tips: Specifically for Engineers searching for Data Scientist or Machine Learning based jobs, focus on your projects have done and do involve in the projects either on GitHub or haggle.
Clear your basic concepts and have a good knowledge of programming language like Python, R etc.
College Name: IIIT Bhubaneswar
Machine Learning Engineer Interview Questions & Answers
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Yashwant Chauhan
posted on 23 Jul 2024
Selected
I applied via Referral and was interviewed in Jun 2024. There were 2 interview rounds.
Focus more on python funda,ental and spark
They will ask more on datarbcisk related stuff
Interview Preparation Tips
Machine Learning Engineer Interview Questions & Answers
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Rijwan Mohammed
posted on 5 Jun 2024
Selected
I applied via Naukri.com and was interviewed before Jun 2023. There was 1 interview round.
4 technical questions, 1 python code, 2 SQL, 1 Spark
Interview Preparation Tips
- Spark
- SQL
- Python
- Hadoop
- Hive
Machine Learning Engineer Interview Questions & Answers
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Anonymous
posted on 22 Nov 2023
I applied via LinkedIn and was interviewed in May 2023. There were 3 interview rounds.
It was 1 hour coding test with 2 questions. One was easy and another was medium level coding question.
(3 Questions)
- Q1. Few SQL Queries
- Q2. Explain null hypothesis and p-value in terms of probability
- Ans.
Null hypothesis is a statement that assumes no relationship or difference between variables. P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true.
Null hypothesis is a statement that assumes no effect or relationship between variables
P-value is the probability of obtaining results as extreme as the observed data, assuming the null hypothesis is true
Null hy...
- Q3. Explain Linear and Logistic Regression
- Ans.
Linear regression is used for predicting continuous numerical values, while logistic regression is used for predicting binary categorical values.
Linear regression models the relationship between a dependent variable and one or more independent variables using a linear equation.
Logistic regression models the probability of a binary outcome using a logistic function.
Linear regression is used for tasks like predicting hou...
Interview Preparation Tips
- SQL
- Machine Learning
- Data Science
- Python
Skills evaluated in this interview
Machine Learning Engineer Interview Questions & Answers
Tiger Analytics
Anonymous
posted on 12 Jul 2024
(2 Questions)
- Q1. Python question on list comprehension
- Q2. Python related questions
Interview Questionnaire
2 Questions
- Q1. Resume Summarisation
- Q2. Common Puzzeles
Interview Preparation Tips
Experience: It was a online test.
Tips: Time given was ample. Accuracy matteredin their test which was conducted by Huntshire.com. Do visit their site for sample questions
Duration: 60 minutes
Round: Group Discussion
Tips: 9 people were in a group. Time for GD was 20 minutes including 5 minutes for summarising.
Duration: 20 minutes
Round: Interview
Experience: Firstly, I summarized and explained the key highlights of my resume in about 5-6 minutes. Then, based on my resume they started asking some HR questions and tried to grill me on those. After that, theyasked me some common puzzles.
Tips: There was a single PI round. The panel consisted of 3 members. The HR and resume based questions that are generally asked in an interview are different for every person. So, it's in the hands of the candidate to turn the tide of questions in his favor by ending the answer to the last question on a positive note. The next question that the interviewer asks will be based on the last answered question.You will get the common puzzles on googling. Just write " 25 horses puzzle" and " 100 doors puzzle". They also asked me to form numbers from 1to 15 using only four 4's and any mathematical operator.
Skill Tips: ""
College Name: IIT ROORKEE
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