Artificial Intelligence & Machine Learning, at times, are used interchangeably by users & developers.

Although there is a fair amount of correlation between the two; still the terms & its concepts are not similar to each other. In actual sense, artificial intelligence is a super-set of machine learning as illustrated in the figure below.

As depicted in the figure above, ‘artificial intelligence’ is the concept which is aimed at equipping machines & systems with human-like intelligence so that they can self-initiate a response based on the particular input or stimuli.

Machine Language is a sub-set of Artificial Intelligence which deals in different mathematical and statistical techniques & tools which enables systems & machines to self-learn from data so that they can respond to further stimulus without any extensively coded business logic layer.

Emergence of Machine Learning from Artificial Intelligence

As mentioned, machine learning is a sub-set of artificial intelligence, the figure below shows precisely where does machine learning stands –

Generalizing the different branches of artificial intelligence into more fundamental categorization; artificial intelligence can either be general or applied. In current world, applied artificial intelligence is ore prevalent, and is extensively used in designing smart systems. A few examples of applied AI include intelligent stock trading software, automatic vehicles etc.

General AI is the current buzzword; and aims to equip systems and machines to perform virtually everything that a human does (and even beyond it).

The rise of machine learning is a direct consequence of the interest & investment that has gone in the general AI category.

The onset & emergence of machine learning is primarily due to two major factors:

  • The hypothesis or realization (which first happened in the year 1959) that rather than coding every bit of business logic for systems to behave; systems need to be taught on how to learn themselves and take self-decisions
  • Internet-boom and the lot of focus that businesses have entrusted on the digital domain – all of which leading to humongous amount of data to be used and leveraged

Artificial intelligence vs. Machine Learning – Rationale behind the confusion

As per recent surveys done by the Verge, more than 40% of the start-ups based out of Europe wrongfully claimed that they are using AI technologies. The reason of this confusion could be multi-pronged – starting from a lack of clear understanding of the concepts, or even businesses trying to use these hype words to promote their operations; thereby increases sales & revenues.