AI-Machine Learning & Deep Learning

Artificial Intelligence is superset of ________________________ & ________________________ ,

• Machine Learning & Neural Networks

• Machine Learning & Deep Learning

• Deep Learning & Neural Networks

AI is a field of computer science aimed at developing machines which are intelligent enough to do certain tasks that would normally be performed only by (a)  

___________________ is set of algorithms that allows computers to learn from data without being explicitly programmed.

• Machine Learning

• Deep Learning

• Neural Networks

This requires computer scientists to formulate general-purpose learning algorithms that help machines learn more than just one task.

• Machine Learning

• Deep Learning

• Neural Networks

Deep learning is often made possible by artificial neural networks, which imitate ______________, or_____________________.

• AI & ML

• Neurons or Brain Cells

The neural net models use ___________ and _________________ principles to mimic the processes of the human brain, allowing for more general learning.

• Maths & Science

• Maths & Computer Science

• Human Brain & Science

An artificial neural network tries to simulate the processes of densely interconnected brain cells, but instead of being built from biology, these neurons, or nodes, are built from ___________.

• Code

• Machine Learning

Machine Learning is a subset of AI. ML deals with developing systems which can improve their performance with _________________.

• Experience

• Deep Learning

• Neural Networks

Most of people are familiar with ______________learning from shopping on the Internet and being offered products related to their purchase.

• Machine

• Deep

All three of these AI concepts – machine learning, deep learning, and neural networks – can enable hardware and software robots to “think” and act dynamically, outside the confines of _______________.

• Code

• Human Brain