Machine Learning Study Guide 2026
Everything you need to pass the Machine Learning exam in one place: the exam format, every topic to study, real practice questions with explanations, flashcards, and full-length practice tests. Free, no sign-up needed.
📋 Machine Learning Exam Format at a Glance
📚 Machine Learning Topics to Study (63)
✍️ Sample Machine Learning Questions & Answers
1. What does the Actor-Critic method combine in reinforcement learning?
Actor-Critic methods combine an actor (policy network) that selects actions with a critic (value network) that evaluates those actions, reducing variance compared to pure policy gradient methods.
2. Which of the following best describes 'stratified k-fold cross-validation'?
Stratified k-fold ensures each fold has roughly the same proportion of class labels as the original dataset, important for imbalanced data.
3. What is the primary consideration when implementing changes to neural networks?
Impact assessment and proper change management ensure that modifications do not introduce unexpected problems or service disruptions.
4. Which of the following is an example of a regression problem in supervised learning?
Predicting house prices produces a continuous numeric output, making it a regression problem rather than a classification problem.
5. What is the difference between generative and discriminative models?
Generative models learn the joint distribution of inputs and labels to model how data is generated, while discriminative models directly learn the boundary between classes.
6. In a confusion matrix, what does a False Negative represent?
A False Negative occurs when the model predicts the negative class but the true label is actually positive, meaning a positive case was missed.