Artificial Intelligence and Machine Learning Basics MCQs 2026
20 questions with detailed answers · 9 from past papers · 2 quiz batches available
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- Q1 medium
gradient boosting is best defined as
💡 Explanation:gradient boosting is a recognized software engineering topic assessed in competitive exams.
- Q2 Past Paper · PPSC/FPSC/NTS easy
random forest is best defined as
💡 Explanation:random forest is a recognized software engineering topic assessed in competitive exams.
- Q3 hard
regression problem is best defined as
💡 Explanation:regression problem is a recognized software engineering topic assessed in competitive exams.
- Q4 medium
classification problem is best defined as
💡 Explanation:classification problem is a recognized software engineering topic assessed in competitive exams.
- Q5 Past Paper · PPSC/FPSC/NTS easy
reinforcement learning is best defined as
💡 Explanation:reinforcement learning is a recognized software engineering topic assessed in competitive exams.
- Q6 Past Paper · PPSC/FPSC/NTS hard
unsupervised learning is best defined as
💡 Explanation:unsupervised learning is a recognized software engineering topic assessed in competitive exams.
- Q7 Past Paper · PPSC/FPSC/NTS medium
supervised learning is best defined as
💡 Explanation:supervised learning is a recognized software engineering topic assessed in competitive exams.
- Q8 Past Paper · PPSC/FPSC/NTS easy
machine learning definition is best defined as
💡 Explanation:machine learning definition is a recognized software engineering topic assessed in competitive exams.
- Q9 Past Paper · PPSC/FPSC/NTS easy
neural network is best defined as
💡 Explanation:neural network is a recognized software engineering topic assessed in competitive exams.
- Q10 hard
feature engineering is best defined as
💡 Explanation:feature engineering is a recognized software engineering topic assessed in competitive exams.
- Q11 medium
cross-validation is best defined as
💡 Explanation:cross-validation is a recognized software engineering topic assessed in competitive exams.
- Q12 Past Paper · PPSC/FPSC/NTS easy
underfitting is best defined as
💡 Explanation:underfitting is a recognized software engineering topic assessed in competitive exams.
- Q13 hard
overfitting is best defined as
💡 Explanation:overfitting is a recognized software engineering topic assessed in competitive exams.
- Q14 medium
deep learning is best defined as
💡 Explanation:deep learning is a recognized software engineering topic assessed in competitive exams.
- Q15 hard
CNN for images is best defined as
💡 Explanation:CNN for images is a recognized software engineering topic assessed in competitive exams.
- Q16 Past Paper · PPSC/FPSC/NTS easy
RNN for sequences is best defined as
💡 Explanation:RNN for sequences is a recognized software engineering topic assessed in competitive exams.
- Q17 medium
NLP tokenization is best defined as
💡 Explanation:NLP tokenization is a recognized software engineering topic assessed in competitive exams.
- Q18 hard
decision tree model is best defined as
💡 Explanation:decision tree model is a recognized software engineering topic assessed in competitive exams.
- Q19 medium
test dataset is best defined as
💡 Explanation:test dataset is a recognized software engineering topic assessed in competitive exams.
- Q20 Past Paper · PPSC/FPSC/NTS easy
training dataset is best defined as
💡 Explanation:training dataset is a recognized software engineering topic assessed in competitive exams.