Artificial Intelligence & Machine Learning

Expert-Level Machine Learning Algorithms Test

Confront 10 intricate problems spanning core and cutting-edge ML algorithms to gauge true mastery.

#reinforcement learning#gradient descent#ML algorithms#neural architectures#support vector machines#dimensionality reduction#clustering algorithms#kernel methods#ensemble learning#advanced optimization

Quiz Intelligence

Total Questions

Difficulty Level

hard

Progress

0/0

Quiz Questions

Answer all questions below and test your knowledge.

1
In the Adam optimizer, the bias-corrected first moment estimate is computed as what?
Question 1
2
What does the reg_lambda parameter primarily control in XGBoost?
Question 2
3
In kernel SVM with RBF kernel, the kernel function is defined as?
Question 3
4
The objective of K-means++ initialization is to?
Question 4
5
In the EM algorithm, the E-step computes?
Question 5
6
The first principal component in PCA maximizes?
Question 6
7
In LSTM networks, the forget gate decides?
Question 7
8
Policy gradient methods in RL directly optimize?
Question 8
9
In GAN training, the discriminator loss is minimized when?
Question 9
10
Random Forest uses out-of-bag (OOB) samples to estimate?
Question 10