Self Assessment

Below is a curated list of all the concepts/terms we have seen so far. You should be able to at least identify most of them. They are the basics for the current state-of-the-art artificial intelligence models.

Topic	Terms
ANN	Feature	Class	Accuracy	Classification
Gradient Descent	Backpropagation	Probability	Loss	Optimizer	Adam
MLP	Perceptron	Activation	Sigmoid	ReLu
Iris Flower	Confusion Matrix
CNN	Convolution	Max-Pooling	Filter	Impulse Response
RNN	State	One-Hot
Reinforcement Learning	Bellman Equation	Policy
Clustering	k-means	Centroid	Unsupervised Learning	Supervised Learning
PCA	Dimensionality Reduction	Expected Value	Variance	Covariance	Eigenvector	Eigenvalue