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Apple Data Scientist Interview Questions and Answers
Apple Data Scientist Interview Experiences
2 interviews found
tyler chun
(2 Questions)
- Q1. Exptected salary
- Q2. What do you expect for work
- Ans.
I expect challenging projects, opportunities for growth, collaborative team environment, and work-life balance.
Challenging projects that allow me to apply my data science skills and learn new techniques
Opportunities for growth and advancement within the company
Collaborative team environment where I can share ideas and work together towards common goals
Work-life balance to ensure I can perform at my best both profession
Topic was joining and calculating
Anonymous
Selected
I applied via Company Website and was interviewed in Jun 2023. There were 2 interview rounds.
I was asked to solve various problems (your typical algorithm and data structure subjects), as well as explain the various projects I worked on in my most recent position.
Divide candidates in a group of around 15 people, and put you through different activities such as role play exercises to measure your communication and team working skills.
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
15 statistical and logical questions
2 easy to medium coding problmes. e.g. swapping the array.
(2 Questions)
- Q1. What is regression ? how it works
- Ans.
Regression is a statistical method used to analyze the relationship between variables and predict outcomes.
Regression models the relationship between a dependent variable and one or more independent variables.
It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.
Examples include linear regression, polynomial regression, and logistic regression.
- Q2. Questions on recent projects
(1 Question)
- Q1. Basic back ground check
Skills evaluated in this interview
Data Scientist Interview Questions & Answers
LG Electronics
Shivang Singh Kaira
posted on 2 Jan 2025
Basic python questions
Ronak Gangwal
(2 Questions)
- Q1. Explain xgboost
- Ans.
XGBoost is a popular machine learning algorithm known for its speed and performance in gradient boosting.
XGBoost stands for eXtreme Gradient Boosting.
It is an implementation of gradient boosted decision trees designed for speed and performance.
XGBoost is widely used in machine learning competitions and has become a popular choice for data scientists.
It can handle missing data and is optimized for parallel processing.
XG...
- Q2. Explain decision tree
- Ans.
Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.
Decision tree is a supervised learning algorithm used for classification and regression tasks.
It breaks down a dataset into smaller subsets based on different attributes.
Each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome...
Skills evaluated in this interview
Guddi S
I applied via Referral and was interviewed in Nov 2023. There were 2 interview rounds.
Ml algorithms ,deeplearning, nlp questioons and projects
Python basic codeing
Interview Preparation Tips
I was interviewed before Feb 2023.
(1 Question)
- Q1. 1. diff between acf pacf
- Ans.
ACF measures the linear relationship between an observation and its lagged values. PACF measures the direct relationship.
ACF (Autocorrelation Function) measures the correlation between an observation and its lagged values.
PACF (Partial Autocorrelation Function) measures the correlation between an observation and its lagged values, while removing the indirect effects of intermediate lags.
ACF is used to identify the orde...
I was interviewed before Oct 2019.
Interview Questionnaire
1 Question
- Q1. Case study
Interview Preparation Tips
Selected
I applied via Naukri.com and was interviewed before Feb 2023. There were 3 interview rounds.
(1 Question)
- Q1. Questions related to Python , ML, Deep Learning and resume based questions
(1 Question)
- Q1. Project related
(1 Question)
- Q1. Usual HR questions
Bharat Kaushik
I applied via Referral and was interviewed in May 2022. There were 3 interview rounds.
(1 Question)
- Q1. Interview questions were mostly based on basic SQL and python queries
(1 Question)
- Q1. Question were asked on machine learning algorithms. There were few questions related to deep learning and image processing.Interviewer has asked me write live code on some moderate level DSA question.
Interview Preparation Tips
Prepare some DSA ( moderate level will be sufficient)
Machine learning (deep understanding of algorithms)
Basic understanding of deep learning
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Apple Data Scientist Interview Process
based on 3 interviews
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