| Question | Solution | Frequency | Difficulty | Question Type | Companies |
|---|---|---|---|---|---|
| Classification Evaluation Metrics |  | High | Easy | ML Question | Amazon, Facebook, Microsoft |
| Word2Vec Types | | Low | Easy | ML Question | Facebook, Microsoft |
| Distributed Deep Learning | | Low | Hard | ML Question | |
| Logistic Regression | | High | Easy | ML Question | Amazon, Apple, Google |
| K-Means | | High | Easy | ML Question | Apple, Google |
| Model Fitting | | High | Easy | ML Question | Apple, Netflix, Google |
| Vanishing Gradient | | Medium | Easy | ML Question | Apple |
| Imbalanced Data | | Medium | Easy | ML Question | Amazon, Apple |
| Gradient Descent Rescale | | Low | Medium | ML Question | Amazon, Apple |
| K-NN | | High | Easy | ML Question | Apple, Google |
| ResNet | | Low | Medium | ML Question | Amazon, Apple |
| Bias And Variance | | High | Easy | ML Question | Amazon, Apple, Facebook, Google |
| Model Size | | Low | Medium | ML Question | Apple |
| Cold Start | | Medium | Easy | ML Question | Apple |
| XGBoost | | High | Medium | ML Question | Apple |
| Word2Vec | | Medium | Medium | ML Question | Amazon, Apple |
| DNN vs SVM | | Low | Medium | ML Question | Apple |
| CNN | | Medium | Easy | ML Question | Apple |
| Classifying Kitchen Utensils | | Low | Easy | ML Question | Apple |
| Dataset Distribution | | Medium | Easy | ML Question | Apple |
| Search Engine System | | High | Medium | System Design | Apple, Google |
| Text Image Search | | Low | Hard | System Design | Apple, Google |
| Image Retrieval | | Medium | Hard | System Design | Microsoft |
| NER System | | Low | Medium | System Design | Apple |
| LDA & QDA | | Low | Medium | ML Question | Microsoft |
| Severe Data Imbalance | | Medium | Easy | ML Question | Microsoft |
| Random Forest | | High | Easy | ML Question | Amazon, Microsoft, Google |
| Clustering Methods | | Medium | Easy | ML Question | Amazon |
| Cross Entropy and MLE | | Low | Medium | ML Question | |
| Batch Norm | | Medium | Easy | ML Question | Amazon, Google |
| No Gradient | | Low | Medium | ML Question | |
| Validation Accuracy | | Low | Medium | ML Question | Apple |
| Cross-Entropy Loss | | Low | Medium | ML Question | Amazon, Apple |
| Softmax | | Low | Medium | ML Question | Apple |
| Replace Softmax | | Low | Hard | ML Question | Apple |
| Logits | | Low | Medium | ML Question | Apple |
| Cross-Entropy vs Softmax | | Low | Medium | ML Question | Apple |
| Detect Toys | | Low | Medium | ML Question | Amazon |
| RNN, CNN, LSTM | | Medium | Easy | ML Question | Amazon, Apple |
| Fully Connected vs Convolutional Layer | | Medium | Easy | ML Question | Apple |
| SVMs | | Medium | Easy | ML Question | Amazon, Apple, Google |
| Regularization | | High | Easy | ML Question | Amazon, Apple, Facebook, Google, Netflix |
| Cross Validation | | Medium | Easy | ML Question | Apple |
| Rare Feature Value | | Medium | Easy | ML Question | Apple |
| Multi-class SVM | | Low | Easy | ML Question | Apple, Microsoft |
| Regularization In Decision Trees | | Low | Medium | ML Question | Amazon, Apple |
| KL Divergence | | Low | Hard | ML Question | Amazon, Google |
| Loss - CBOW and Skip-Gram | | Low | Hard | ML Question | Apple, Google |
| Logistic Regression vs Linear Regression | | Medium | Easy | ML Question | Amazon |
| Bagging vs Boosting | | High | Easy | ML Question | Amazon |
| Dimensionality Reduction | | High | Medium | ML Question | Amazon, Microsoft |
| Minimize Loss In Linear Regression | | Medium | Medium | ML Question | Amazon |
| GD vs SGD vs Momentum | | High | Medium | ML Question | Amazon |
| Feature Scaling Decision Trees | | High | Easy | ML Question | Amazon |
| Base Tree GBT | | Low | Easy | ML Question | Apple |
| Random Forest vs GBT | | Medium | Easy | ML Question | Amazon |
| Gradient Fixing | | High | Easy | ML Question | Amazon |
| k-fold Bias/Variance | | Low | Easy | ML Question | Amazon |
| LSTM | | Medium | Easy | ML Question | Amazon |
| Pooling | | Medium | Easy | ML Question | Amazon |
| Attention Networks | | Medium | Hard | ML Question | Amazon, Microsoft |
| BERT | | Low | Hard | ML Question | Amazon |
| Loss Functions | | Medium | Easy | ML Question | Amazon |
| Generative Model | | Low | Medium | ML Question | Amazon |
| BERT vs Transformer | | High | Medium | ML Question | Amazon |
| Inconsistent Metrics | | Low | Medium | ML Question | Amazon |
| Word Embeddings Comparison | | Low | Medium | ML Question | Amazon |
| SGD vs Adam | | Low | Medium | ML Question | Amazon |
| Large Number of Features | | Medium | Easy | ML Question | Netflix |
| Small Number of Features | | Medium | Easy | ML Question | Netflix |
| Model Explanations | | High | Easy | ML Question | Netflix |
| Ad Title Similarity | | Low | Easy | ML Question | Microsoft |
| Negative Sampling | | Low | Easy | ML Question | Microsoft |
| Data Imbalance | | Medium | Medium | ML Question | Microsoft |
| Generative Adversarial Networks | | Low | Medium | ML Question | Microsoft, Snapchat |
| Gaussian Mixture Models | | Low | Medium | ML Question | Microsoft |
| Maximum Likelihood Estimation | | Low | Medium | ML Question | Microsoft |
| RMSE | | Low | Easy | ML Question | Microsoft |
| Output CNN | | Low | Medium | ML Question | Microsoft |
| Transformer vs LSTM | | Medium | Medium | ML Question | Microsoft |
| Compare Models | | Low | Easy | ML Question | Microsoft |
| EM Algorithm | | Low | Medium | ML Question | Microsoft |
| Regularization In Deep Networks | | High | Easy | ML Question | Amazon, Facebook, Microsoft, Google |
| Job Recommendation System | | Low | Medium | System Design | Microsoft, Linkedin |
| Instagram NewsFeed | | Low | Medium | System Design | |
| Classification of Products | | Low | Easy | System Design | Amazon, Facebook, Netflix |
| Video Recommendation System | | High | Medium | System Design | Facebook, Google |
| Fake News System | | High | Medium | System Design | Apple, Facebook |
| Friends Recommendation System | | Low | Medium | System Design | |
| Ads System | | High | Medium | System Design | |
| Spam Email Detection | | High | Medium | System Design | |
| Email Auto-Compose System | | Low | Hard | System Design | |
| Predict Salaries | | Low | Medium | System Design | |
| Image Segmentation | | Low | Medium | System Design | |
| Landmark Identification System | | Low | Hard | System Design | Microsoft |
