Unsupervised Learning

Question: What is unsupervised learning? This means the data is not labeled ahead of time for the algorithm. Used to analyze data to make sense…

Supervised Learning

Question: What is supervised learning? This means the data is pre-labeled for the algorithm. Helps when predicting from data we already identified. Example: Supervised machine…

Machine Learning

Question: What is machine learning? It’s a broadly used term, so think of good examples from your industry. This includes prediction and analysis. Example: Machine…

Recommender System

Question: What are recommender systems? Subclass of information filtering meant to predict preferences for a user. Examples: Netflix with movies, Amazon with product. Example: A…

Collaborative Filtering

Question: What is collaborative filtering? Often used in recommender systems to find information by collaborating viewpoints. This combines user info with others. Example: Collaborative filtering…

Deep Learning

Question: What do you mean by Deep Learning and why is it popular? Deep learning is a type of machine learning. It works like a…

Deep Learning Frameworks

Question: What are some deep learning frameworks? Get into detail about your most familiar framework. Check online for new ones! Example: Some deep learning frameworks…

Activation Function

Question: What is the role of activation function? Introduces non-linearity into a neural network to help it learn complex functions. Use examples if it helps.…

Boltzmann Machine

Question: What is a Boltzmann Machine? Discovers interesting features that represent complex regularities in training data. Used to optimize weights and quantity for a problem.…

Artificial Neural Network

Question: What are artificial neural networks? Algorithms mimic biological neural networks. They can adapt to changing input. Helps you redesign output criteria. Example: An artificial…