Definition/Explanation
What does the subset of machine learning focus on?
Learning patterns and making decisions without instruction
What is one Machine learning technique?
Supervised/Unsupervised learning
Netflix, Spotify, Amazon, etc
What are 2 positive impacts of machine learning?
Determining future trends and competitive edge
TayTweets AI's acting differently than anticipated is an example of which issue?
Ethical Issue (Specifically "Black Box" issue)
How does artificial intelligence make its inferences?
Model training and interpreted data
What is one technique that AI uses when learning is unsupervised?
Clustering, Dimention reduction, Associate rule learning
How does machine learning personalize recommendations for people?
Tailoring marketing materials based on user patterns
How does Predictive AI give foresight on trends?
It anticipates customer behavior, and notices previous actions to create a prediction over a period of time
What is the "Black Box" issue?
The struggle to understand the decision making of AI models and how data given during the machine learning process impacted their decision
How do machine learning systems improve their peformance?
Using their own intrinsic learning and insight on previous models to become more powerful
How are Machine Learning techniques used in the real world?
Locating fraud detection, discovering relationships for predictions and analysis, and reducing information but keeping impact
How does machine learning improve frame rate?
Guessing and generating frames based on previous actions
How does competitive edge drive the development of machine learning?
Innovators need to find advanced offerings in order to outlast competition and create a more popular product
What are some consequences of insecurely gathered data?
Accessibility to personal data by third party sources and vulnerability to online attacks