Machine Learning Interview Questions For Freshers
Define precision and recall in the context of machine learning.
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Name some common applications of machine learning.
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What are the different types of machine learning?
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What is the difference between supervised and unsupervised learning?
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Explain the bias-variance trade-off in machine learning.
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What is overfitting and how can it be prevented?
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What is the curse of dimensionality?
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What is regularization in machine learning?
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What is feature selection?
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Explain the concept of cross-validation.
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What is the purpose of feature scaling in machine learning?
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What is the difference between bias and variance?
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What is machine learning?
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What is gradient descent?
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What is the difference between batch gradient descent and stochastic gradient descent?
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Machine Learning Intermediate Interview Questions
What is the Perceptron algorithm?
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What is Deep Learning?
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Explain the role of activation functions in neural networks.
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What is a generative model?
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What is the difference between precision and accuracy?
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What is the concept of reinforcement learning?
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Explain the K-nearest neighbors (KNN) algorithm.
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What is a confusion matrix?
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What is ensemble learning?
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Explain the concept of dimensionality reduction.
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What is the difference between Bagging and Boosting?
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What is the purpose of hyperparameter tuning?
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What is an anomaly detection algorithm?
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What is transfer learning in machine learning?
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Explain the working of a Support Vector Machine (SVM).
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What is the difference between classification and regression?
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Machine Learning Interview Questions For Experienced
What is an autoencoder and how does it work?
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Explain the working of the Naive Bayes algorithm.
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What is the purpose of word embeddings in natural language processing?
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Explain the working of Recurrent Neural Networks (RNNs).
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What is the difference between generative and discriminative models?
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What is the concept of attention mechanism in deep learning?
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Explain the concept of backpropagation in neural networks.
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What is the difference between L1 and L2 regularization?
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Explain the working of the Transformer architecture.
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What is the concept of GANs (Generative Adversarial Networks)?
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What is the concept of attention mechanisms in deep learning?
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Describe the working of the Long Short-Term Memory (LSTM) networks.
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What is the difference between deep learning and machine learning?
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What is the purpose of imbalanced datasets in machine learning?
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Explain the concept of transfer learning in deep learning.
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What is the concept of word2vec in natural language processing?
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Explain the working of the Convolutional Neural Networks (CNNs).
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What are recurrent neural networks used for?
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