Resources

Knowledge Checks

• KC 1: Regression and Optimization
• KC 2: Logistic and SVM
• KC 3: Kernels and Decision Trees
• KC 4: Perceptron, NN and CNN
• KC 5: Deep Learning and Unsupervised Learning
• KC 6: Generative Models

Midterm

Please note: These practice questions are designed to help you review the key topics and familiarize yourself with the types of questions you may see on the midterm. They do not represent the full coverage or exact number of questions on the actual exam. Be sure to study all lecture materials and assignments thoroughly.

• Midterm practice questions (without solutions)
• Midterm practice questions (with solutions)

We recommend reviewing the following resources for additional practice and understanding:

• Previous midterm exams from MIT

Final Exam

Please note: These practice questions are designed to help you review the key topics and familiarize yourself with the types of questions you may see on the final exam. They do not represent the full coverage or exact number of questions on the actual exam. Be sure to study all lecture materials and assignments thoroughly.

• Final practice questions (without solutions)
• Final practice questions (with solutions)