Algorithms
Where the algorithm is trained on a labeled dataset.
What is supervised learning?
A Machine learning technique that uses labeled data sets to train algorithms to classify or predict outcomes.
What is supervised learning?
Data bias, Model bias, Fairness Frameworks.
What is algorithmic bias and fairness in AI systems?
Computational models inspired by the human brain.
What are Neural networks?
Structured, unstructured, semi-structured and time-series to name a few.
What are types of data?
Where the algorithm is trained on unlabeled data.
What is unsupervised learning?
What is reinforcement learning?
AI systems can inherit and amplify biases present in the data to train them.
What is data bias?
Provides the final output of the network.
What is the Output layer?
Highly organized and easily searchable in a tabular format.
What is structured data?
AI algorithms are categorized by their learning approach.
What determines the how they learn and make decisions?
A computer program that works on behalf of a user or another program to perform a task or set of tasks.
What is a software agent?
Ensuring AI decision-making processes are open and explainable.
What is transparency?
Neuron receives inputs multiplied by corresponding weights.
What is Input Reception?
Lacks predefined format.
What is unstructured data?
To analyze data and make decisions like humans.
What is the primary function of AI algorithms?
Supervised, unsupervised and Reinforcement Learning.
What is Machine Learning?
The collection and use of personal data by AI-powered systems raises crucial concerns about privacy and data rights.
What is privacy and data rights?
Nodes that process inputs and apply activation functions.
What are Neurons?
Is a sequence of data points collected or recorded at specific time intervals.
What is time-series data?
Where the algorithm learns by interacting with its environment.
What is reinforced learning?
Data Driven
What is unsupervised learning?
What is fairness?
Image Recognition, Speech Recognition, Game Playing
What are applications of Neural Networks?
Stock prices, sensor readings, website traffic logs
What are examples of time-series data?