1.Generating sorted output using f(x) with a sorted list
2.Effective Customer Segmentation Strategies for Business Travelers
3.Visualizing LI Friend Connections and Analyzing Central Tendency
4.Visualizing Height Distribution in America: Men vs Women
5.Predicting User Hires using Imbalanced, Regularized, and Tree-based Models
6.Calculating Variance and Proportions with Large Datasets
7.Properties of a Set of Correlated Variables X1...XP
8.Handling Imbalanced Data: Downsample and Upsample Techniques
9.Simulating Dice Roll Probability Distribution with my_function(p)
10.Identifying Business Travelers in COVID Era: Data Collection and Follow-up
11.Choosing the Dynamic Distribution of Two Bank Branches' Five Tellers
12.为Python实现代码
13.N-sided Dice Probability Function
14.1. Regularized Loss Function for Linear Model 2. Validating the Model Created from Sampling Big Data 3. Overcoming Imperfect Salary Data for Analysis 4. Choosing a Linear Model for Imperfect Data
15.Eliminating Duplicate Elements in Merged Lists with O(N) Time Complexity
16.Product of Array Except Self in Linear Time
17.Defining Overfitting and Underfitting: Coping with Overfitting
18.Explaining Decision Trees, Random Forests and Gradient Boosting: Feature Importance Calculation and Information Entropy
19.Two CSV files with Clicks and Assignments Data
20.Flawed Logic in Coin Toss Bet
21.Job Posting Analysis: New, Repeat, Reactivated Posts.
22.Diagnosing the Case of a Dropped Job Application
23.Designing A/B Testing for Multiple Email Formats
24.Analyzing the Drop in Job Application Volume.
25.Measuring Bay Area Income: Choosing Metrics for Analysis
26.Exploring the Trade-off Between Bias and Variance
27.Understanding Overfitting and Underfitting in Machine Learning
28.Correcting Overfitting: Techniques and Strategies.
29.Bagging vs. Boosting: Understanding the Key Differences
30.Understanding Gradient Descent: An Overview
31.Best Matrices for Binary Classification Model?
32.Recall and Precision Explained
33.Understanding AUC: Measuring Model Performance in Analytics
34.Counting Pairs with Sum Below a Given Value
35.Can Lasso be solved using Linear Programming? If not, how to adjust?
36.Comparing Variance of Bootstrap Sampling: median vs 95%
37.Assessing Assumption That Customers Ignore Ads After 5th View
38.Analyzing Decreased Physical Store Sales and Traffic
39. favorite product
40. profile completion
41.Design a pricing tool
42.how could you improve linkedin
43. anonymous posting on LinkedIn
44.stealing marketshare of Doordash
45.member ld
46.Lowest Common Ancestor of Deepest Leaves
47.Max Points on a Line
48.Can New Flowers Be Planted Without Adjacency Violation?
49.最大的成就
50.Design and Implement AllOne Data Structure with Min-Max String Count Operations
51.Max Profit with K Stock Transactions
52.Max Points on a Line
53.Exclusive Time of Functions
54.Finding the Lowest Common Ancestor of Two Nodes in a Binary Tree
55.BinarySearchTreeSerializationAndDeserialization
56.Word Ladder Transformation Sequence Length
57.Serialize and Deserialize Binary Search Tree Algorithm
58.Designing Binary Tree Serialization and Deserialization Algorithm
59.Lowest Common Ancestor of a Binary Tree with Parent Pointers
60.Valid Parenthesis String with Asterisks
61."Collecting Nodes from Binary Tree by Removing Leaves in Layers"
62.Check if Number is a Perfect Square Without Using sqrt Function
63.Implementing Power Function in Python
64.Base Negative Two Number Representation
65.Next Greater Node In Linked List
66.Can New Flowers Be Planted Without Adjacency Violation?
67."Finding Maximum Depth of a Binary Tree"
68.Valid Parentheses String Checker
69.Maximum Product Subarray
70.Counting Number of Islands in a 2D Grid
71.String Replacement with Indexed Substrings
72."Check if Undirected Graph is a Valid Tree"
73.Design and Implement a Custom HashMap in Java
74."Maximum Area of an Island in a Binary Matrix"
75.Minimum Operations to Remove All Ones from Binary Matrix
76.Finding the Lowest Common Ancestor in a Binary Search Tree
77.CNN
78.CNN
79.Loss
80.why deep learning
81.Shortest Word Distance in Array Data Structure
82.Minimum Insertions to Make a String Palindrome
83.Factor Combinations of an Integer
84.Nested Integer Weight Sum
85.Imbalanced dataset
86.ML基础知识
87.Tree Model相关问题
88.Overfitting
89.Validating Scientific Notation Numbers
90.LRU Cache Implementation and Usage Example
91.Remove the restriction
92.文件删除
93.Upside Down Binary Tree Transformation
94.Valid Parentheses String Checker
95.Insert and Merge Intervals
96.Implement strStr() Function in String
97.Design RandomizedSet Class with O(1) Operations
98.Design and Implement an All-In-One Data Structure for String Frequency Tracking
99."Rotate Linked List by K Places"
100.Search in Rotated Sorted Array
101.Longest Palindrome by Rearranging Letters
102.SQL query
103.AB Test
104.CDF and probability
105.Array找组合
106.数据流统计量
107.SQL window function
108.排列组合问题
109.Business travel question
110.Distirbution
111.Multimodal distribution
112.SQL query
113.排列组合
114.Sample data ml building
115.SQL aggregation funciton
116.Finding the Minimum Element in a Rotated Sorted Array
117."Valid Parentheses String Checker"
118.Merge k Sorted Lists
119.Design RandomizedSet and RandomizedCollection Classes
120.Subarray Sum Equals K and K Smallest Pairs from Two Sorted Arrays
121.Design and Implement a Max Stack Data Structure
122.DesignRandomizedSetAndRandomizedCollectionClasses
123.Counting Number of Ones in Integers Less Than or Equal to N
124.Find First and Last Position of Element in Sorted Array
125.Closest Binary Search Tree Value
126.Maximum Subarray
127.Find K Closest Points to Origin
128.Print node by level
129.缺失特征
130.过拟合
131.过拟合
132.Loss
133.Regularization
134.Tradeoff
135.Measure changing search results from list to box
136.SQL aggregation functions
137.AB Test
138.Job application rate changes
139.P-value expaination
140.AB Test - novelty effect
141.AB Test
142.How do you ensure you do not become a bottleneck in your team?
143.How do you solve difficult system problems?
144.Sparse Matrix Arithmetic
145.Number of Islands
146.Substring Replacement in a List
147.LinkedIn Feed ML Design
148.Expectation-Maximization (EM) Algorithm
149.Mean and Covariance Equations
150.Monotonic List Transformation
151.Overriding Native JavaScript Functions and Differences Between call and apply
152.Event Propagation in JavaScript
153.Understanding JavaScript Code Output
154.Ensuring Responsive Design Across Multiple Devices and Platforms
155.Enhancing Accessibility
156.Improving Website Loading Efficiency
157.Finding Target in Rotated Sorted Array
158.Memory Management Techniques
159.Spam Email Detection
160.Machine Learning Domain Knowledge
161.Sparse Vector Coding
162.Handling Non-Duplicate and Duplicate Elements in a Data Structure
163.Proudest Project
164.Count Connected Components in a Graph
165.Partition Array into K Equal Sum Subsets
166.Design a Metrics System
167.Understanding of page and page fault.
168.Virtual Memory and its usage.
169.Differentiate between write-through and write-back cache.
170.Explain the concept of a process and a thread.
171.Number to Word Mapping
172.Bracket Validation
173.Experiment Design for New Emoji Feature
174.Evaluating a New Ranking Model on Feeds
175.Estimating Adoption and Sizing Impact for a Business Software Marketplace
176.SQL Query to Compare Video Posting Activity
177.SQL Query for Video Posts by Country
178.SQL Query for User Activity on the Same Day
179.Design a Strongly Consistent and Scalable Aggregation System
180.Design a Monitoring System for Unknown Output Behavior
181.Implement a Concurrent Producer-Consumer Solution
182.Find Level of Connectivity Between Two LinkedIn Profiles
183.Remove Leaf Nodes from an N-ary Tree
184.Implement a Max Stack
185.Check if an Undirected Graph is a Tree
186.Divide a String into Unique Letter Pieces
187.Identifying Business Travelers
188.SQL Notification On/Off
189.Design a Metrics System for Host Machines
190.Find if Two Persons are Connected in a Graph
191.Design a Distributed Search System
192.Implement Task and TaskList Classes
193.Plan Migration of Internal Infrastructure
194.Ad Click Prediction System Design
195.Design a Ranking Model
196.Machine Learning Basics
197.Reservoir Sampling Implementation
198.Merge Intervals Implementation
199.Minimum Steps to Transform String
200.Retrieval-Augmented Generation (RAG) System Implementation
201.Weighted Random Integer Generator
202.Technical and Management Onsite Interview Questions
203.Managerial Skills Interview Question
204.Managerial Coding Interview Question
205.MultiPutBoundedBlockingQueue Implementation
206.Max Stack Implementation
207.Machine Learning Design for Job Recommendation
208.XGBoost and Decision Trees
209.Underfitting vs Overfitting in Machine Learning
210.T9 Phone Number to Word Translation
211.Find All Repeated DNA Sequences of Length 10
212.Logistic Regression and Overfitting/Underfitting
213.Optimal Point on a Line
214.Design an Ads Recommendation System
215.Probability calculation for bus arrival times
216.Design a class with a method to calculate the distance between two keywords in a sentence
217.Behavioral Question: Handling Team Conflicts
218.Coding: Implement an Interface to Find the Distance Between Two People
219.Project Deep Dive
220.System Design: LinkedIn Search Box
221.Design a data structure with O(1) put, remove, and getRandom operations
222.Implement a Reverse Polish Notation Calculator
223.Get Random, Add, Delete in O(1)
224.Design 'People You May Know' Feature
225.Design a Recommendation System
226.Max Stack
227.Lowest Common Ancestor of a Binary Tree
228.Lowest Common Ancestor of a Binary Search Tree
229.Behavioral Questions
230.Technical Communication
231.Paint House
232.Max Points on a Line
233.Software Design and Architecture
234.Imbalanced Data: XGB vs Random Forest
235.Simpson's Paradox Decision Making
236.Biased Coin Random Number Generation
