Unsupervised Learning

Question: What is unsupervised learning? Example “Unsupervised machine learning involves algorithms that are not pre-labeled, like when you need to look at raw data and…

Supervised Learning

Question: What is supervised learning? Example “Supervised machine learning involves algorithms in which the data is pre-labeled for the computer, such as showing a picture…

Various Classification Algorithms

Question: What are the various classification algorithms? Example “There‚Äôs a lot of classification algorithms, but some noteworthy ones are linear methods– including naive bayes or…

Deep Learning

Question: What do you mean by Deep Learning and why is it popular? Example “Deep learning is a type of machine learning that’s closer to…

Activation Function

Question: What is the role of activation function? Example “The activation function is used to make neural networks capable of understanding non-linearity for learning complex…

Auto-encoder

Question: What is an auto-encoder? Example “The auto-encoder receives unlabeled input that it encodes to reconstruct the input, making it easier to make the input…

Artificial Neural Network

Question: What are artificial neural networks? Example “An artificial neural network is a machine learning technique that mimics biological neural network that take changing input…

Structure of Neural Networks

Question: Describe the structure of artificial neural networks? Example “The way the neural network are shaped, you have many different inputs with a lot of…

Gradient Descent

Question: Explain gradient descent. Example “Gradient descent is the minimizing of an algorithm towards a given function, rather than building up the algorithm. Basically, by…

Back Propagation

Question: What is the back propagation and how does it work? Example “Back propagation is a training algorithm that moves the error from an end…