Machine Learning Technical Interview
Machine Learning Technical Interview

Machine Learning Technical Interview

Get ready for a technical Machine Learning interview / Data Science interview by mastering commonly asked questions!

Machine Learning Technical Interview

What you’ll learn

  • Prepare for machine learning technical questions
  • Improve or refresh knowledge in machine learning
  • Get a great intuition of the machine learning topics
  • Recall fundamental aspects of data processing
  • Know variety of feature engineering methods
  • Handle dimensionality reduction questions
  • Recall many classification and regression models
  • Understand the pros and cons between machine learning methods
  • Handle advanced questions on supervised learning
  • Discuss hyperparameters and how to apply cross-validation
  • Build an understanding of good experiment design
  • Recall the concepts of feature selection
  • Describe different types of dataset balancing methods
  • Have an intuition of main сlustering algorithms
  • Get practice with model evaluation questions

Requirements

  • Some high school mathematics level
  • Basic knowledge in probability theory and statistics
  • Basic understanding of data science concepts
  • Basic understanding of machine learning algorithms
  • Some prior computer science experience
Description
  • Prepare for machine learning technical questions
  • Improve or refresh knowledge in machine learning
  • Get a great intuition of the machine learning topics
  • Recall fundamental aspects of data processing
  • Know variety of feature engineering methods
  • Handle dimensionality reduction questions
  • Recall many classification and regression models
  • Understand the pros and cons between machine learning methods
  • Handle advanced questions on supervised learning
  • Discuss hyperparameters and how to apply cross-validation
  • Build an understanding of good experiment design
  • Recall the concepts of feature selection
  • Describe different types of dataset balancing methods
  • Have an intuition of main сlustering algorithms
  • Get practice with model evaluation questions

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