Comprehensive AI/ML and LLM interview questions covering fundamental concepts, algorithms, and practical applications. AI/ML Fundamentals Interview questions covering core machine learning concepts, algorithms, and best practices: Easy: Supervised/unsupervised learning, overfitting, bias-variance tradeoff, basic …

Comprehensive guide to data augmentation techniques for training robust deep learning models. Why Data Augmentation? Benefits: Increases training data diversity Reduces overfitting Improves model generalization Makes models robust to variations Cost-effective alternative to collecting more data Common Use Cases: …

High-level Keras API for building neural networks quickly. Installation 1# Keras is included in TensorFlow 2.x 2pip install tensorflow 3 4# Standalone Keras (multi-backend) 5pip install keras Sequential Model 1from tensorflow import keras 2from tensorflow.keras import layers 3 4model = keras.Sequential([ 5 …

Essential PyTorch operations and patterns for deep learning. Installation 1# CPU version 2pip install torch torchvision torchaudio 3 4# GPU version (CUDA 11.8) 5pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 6 7# Check installation 8python -c "import torch; …

Tensor mathematics fundamentals and backpropagation theory with detailed mathematical derivations. Tensor Basics What is a Tensor? A tensor is a generalization of scalars, vectors, and matrices to higher dimensions: Scalar (0D tensor): $x \in \mathbb{R}$ Vector (1D tensor): $\mathbf{x} \in \mathbb{R}^n$ Matrix (2D …

Essential TensorFlow operations and patterns for deep learning. Installation 1# CPU version 2pip install tensorflow 3 4# GPU version 5pip install tensorflow[and-cuda] 6 7# Check installation 8python -c "import tensorflow as tf; print(tf.version)" Basic Tensor Operations 1import tensorflow as tf 2 3# Create …