AI - Important Terminology

Algorithms:

Algorithms are set of rules that computer programs can follow.
AI is heavily driven and dependent on algorithms that power it.
AI helps in tweaking these algorithms using ML.
The Major role of AI is helping programs to adapt the rules set by algorithms

Deep Learning:

DL is subset of ML.
Its basically a ML but designed to be even more intelligent.
DL has more nuance and layers.
It is intended to work like the human brain does.
DL also makes use of Neural networks 

Neural Networks:

 NN memic the processes of human brain.
Development of NN has been possible in the last few years with the help of high-end processors.
NN can utilize different characteristics of the object to train the ML

Explainable API:

The term relates black-box decision taken by the ML. 

XAI focuses on the steps and models used by AI systems to make decisions. 

The Solution pinpoint the factors that have a significant impact on the decisions made by ML models. The concept is important as it delivers transparency in how the black box decisions are taken. 

Meta Learning:

ML helps users to find various model agnostic solutions. 

The term can be defined as the use of ML.

It also refers to the designing of models which are capable of learning new skills.

Meta Learning helps in learning about model's different parameters such as decay rate, number of hidden neuronces etc..