1.Dense Rank vs Rank
2.SQL join中的where和on的区别
3.抛硬币的概率计算
4.ios12和ios13开机时间测试
5.Center计算
6.How to define KPIs for an App
7.How to define the relevane of search results
8.Project experience
9.Text Classification模型
10.DAU计算
11.Launch or not
12.AB Test如何检测robustness和sensitivity
13.LTV计算
14.计算字母数
15.full join考察
16.Merge Two Sorted Lists
17.Wildcard Matching
18.SQL基础
19.SQL基础
20.Candy Crush
21.中位数
22.Word Ladder
23.日期间隔计算
24.Count of Smaller Numbers After Self
25.leetcode694
26.Number of Islands
27.Split Linked List in Parts
28.Spiral Matrix
29.Merge k Sorted Lists
30.Max Version
31.Subarray Sum Equals K
32.Integer to English Words
33.Measure steps with Apple watch
34.List operation
35.Commit fraud
36.apple wallet vulnerability
37.payment fraud mitigation solution
38.Basic SQL questions
39.Why power increases when amount of data decreases
40.Caan we launch feature in those countries which are statistically significant
41.Can we stop the experiment when p-value becomes statistical significant before the experiment ends
42.Factors of experiment running time
43.What will p-value change when samples changed
44.Compare proportion of two population
45.Output results based on some requirements
46.How to evaluate new features
47.Evaluate the change of students' scores after a program
48.How to shorten confidence interval
49.What is a noise figure and how is it relevant to RF engineering?
50.Explain the concept of SNR (Signal-to-Noise Ratio) and how to calculate it.
51.How do you operate test equipment such as a spectrum analyzer?
52.Describe how you use Python for automation in your daily work.
53.Find Top-K Page Views
54.Binary Search for Signal Frequencies
55.K-Means Clustering Algorithm
56.Structure and Principle of Attention Layer in Transformers
57.Limitations of Fine-Tuning in Machine Learning
58.Improving and Evaluating a Retriever Model
59.Optimal Solution for Linear Regression
60.Introduction to Ensemble Models with XGBoost
61.Applicability of CNN for Anomaly Detection
62.Anomaly Detection in Signal Data
63.Explain the roles of regularization and normalization in machine learning.
64.Lasso vs Ridge Regression
65.Designing an A/B Test
66.Additional Features for Apple TV
67.Python Techniques for Feature Engineering
68.Identify Popular Genres
69.Define Completion Rate
70.Best Time to Buy and Sell Stock
71.Coding Challenge
72.Identifying Anomalous Account Login Behavior
73.Case Study: Impact of Financial Aid on Education Investment
74.Identifying Overfitting in a Model
75.Explaining Overfitting to a Business Partner
76.Reporting Metrics for Fraud Detection
77.Designing a Spam Detector
78.Hypothetical Work Scenarios
79.SQL Window Function Usage
80.Dealing with App Store Malicious Positive Reviews
81.Handling False Positives in Fraud Prevention
82.Retention Analysis Case Study
83.Advanced SQL Coding Challenge
84.Knowledge of Computer Vision and Machine Learning courses
85.Explain a project from your resume and its difficulties
86.Discuss your internship project related to Machine Learning
87.Committing Fraud Hypothetical Case
88.Dashboard Design
89.Python Coding for Palindrome
90.SQL Query Writing
91.Fraud Case Analysis
92.Discuss the tools you use for production quality analysis.
93.Explain how you deal with vendors providing non-qualified parts.
94.Discuss your approach to improving quality.
95.Describe your experience with final assembly and managing multiple assembly lines.
96.Explain CPK and CP in the context of quality control.
97.Describe a situation where you had to handle a late critical part.
98.Discuss your method for improving product yield.
99.Describe your approach to managing a manufacturing line.
100.Explain the concepts of strength and stiffness in materials.
101.ML Design for Evaluating NLP Tasks
102.Statistical Foundations and A/B Testing
103.AB Testing
104.Data Pipeline Experience
105.KPI Analysis
106.SQL Query Formulation
107.Interpreting A/B Test Results
108.Designing an A/B Testing Framework
109.Difference between boosting and bagging
110.Implement Precision Recall Curve
111.Query Disambiguation and Segmentation
112.Improve Diversity in Recommendations
113.Bayesian Probability Calculation
114.SQL Query for Average Time Spent Per User
115.Calculating Power in A/B Testing
116.Understanding Type I and Type II Errors
117.Identifying Outliers in Daily Metrics
118.Metric Design for Search Product
119.Basic SQL Join and Where
120.Normal Distribution of 2X+Y
121.Modeling for Siri User Satisfaction
122.Siri Customer Satisfaction Analysis
123.Optimizing Large Data Processing
124.Machine Learning System Design
125.Machine Learning Workflow Knowledge
126.Advanced Python Programming for Data Science
127.Strategies for achieving high CPK levels in your company.
128.Discuss cases of variable and attribute in GR&R.
129.Approach to determining and solving tolerance issues in design.
130.Differentiate between CP and CPK and the advantages of using CPK.
131.Describe the basic process of GR&R and how to handle failures.
132.Explain the concept of GD&T and its importance in quality engineering.
133.Describe a project you have worked on and the difficulties faced
134.Discuss an internship project, the models used, and the difficulties encountered
135.Machine Learning Application Coding
136.Multimodal Prediction Problem
137.Machine Learning Project Discussion
138.Tag Recommendation System
139.Top 5 Contents by Months by Country by Paid Plans
140.2019 Monthly Trend of Active Paid Subscriptions
141.Segmenting Users
142.Bias-Variance Tradeoff and Overfitting
143.Time Series Model and ACF/PACF
144.Propensity Model and Beta Estimates Calculation
145.Difference Between Random Forest and XGBoost
146.Count Daily Active Users on Each Platform
147.Implement and Optimize K-means Algorithm
148.Number of Users Whose First Play is in April 2021
149.Number of Users Visited Pages but Didn’t Play
150.Number of Cross-Platform Viewers
151.Difference Between RANK and DENSE_RANK in SQL
152.SQL Join and Basic Filtering
153.AB Testing Group Sample Size Sanity Check
154.TextProcessor Class with Cosine Similarity Method
155.Python Class for Text Document Analysis
156.Python Function for Mean, Median, and Mode
157.SQL Query for Top 2 Amounts Spent by Each User
158.SQL Query for Total Amount Spent by Apple Pay Users vs Non-Apple Pay Users
159.Increased Power with Reduced Data Exposure
160.Launching Features Based on Country-Specific Results
161.Early Termination of an Experiment with Significant Results
162.Factors Affecting the Duration of an Experiment
163.Effect of Sample Proportion Changes on P-Value
164.Comparing Two Population Proportions
165.Bi-gram Count in Page Titles
166.Identifying the Most Visited Domain
167.Unique Domain Extraction from URLs
168.Evaluating New Search Features
169.Evaluating Student Performance Changes
170.Reducing the Confidence Interval to a Tenth of Its Original Size
171.Choosing Between Device Level CTR and Impression CTR
172.Handling Positively Skewed Distributions
173.Statistical Concepts
174.SQL Query for Highest Click-Through Rate
175.Random Permutation Using Numpy
176.Machine Learning Algorithms and Data Experience
177.Understanding ACID Properties
178.Visualization Design
179.SQL Join Types
180.SQL Window Function and Group By
181.Recommendation System Case Study
182.Data Challenge and Presentation
183.SQL Coding Round
184.Create a Generator for Random Email Addresses and Phone Numbers
185.Case Study: Unbiased Testing of AirPods Design Satisfaction
186.Python Coding Exercise
