Artificial intelligence isn’t the future — it is the present. Already, businesses are deploying AI tools in a variety of ways: improving marketing and sales, guiding research and development, streamlining IT, automating HR and more.
Deep Learning vs. Machine Learning:
What Business Leaders Need to Know
Artificial intelligence isn’t the future — it is the present. Already, businesses
are deploying AI tools in a variety of ways: improving marketing and sales,
guiding research and development, streamlining IT, automating HR and more.
The more business leaders can learn about AI and how to leverage it, the better.
Yet, plenty of business leaders remain a bit baffled by the jargon of AI —
particularly when it comes to machine learning. Machine learning is a branch of
artificial intelligence tech wherein machines are given algorithms that allow
them to learn from data and improve their processes. While some use machine
learning and artificial intelligence interchangeably, the truth is that the former
is a specific field within the latter.
Even more confusing, there is another term, “deep learning.” Is this merely a
different way of saying “machine learning,” or is this yet another field of AI?
Read on to find out.
First, a Deeper Dive Into Machine Learning
As mentioned above, machine learning is a branch of artificial intelligence that
relies on algorithms to identify patterns from data and apply lessons from those
patterns to future decisions. Machine learning is the source of a vast array of
automated tasks across various industries. A common example of machine
learning is an on-demand video streaming service that tracks which videos a user
watches and recommends similar videos by learning the viewing history of
similar users. Business leaders in different industries can take machine learning
short courses online to learn more about how to apply machine learning tech to
improve processes within their organization.
In truth, machine learning is essentially a mechanical function, not unlike a
flashlight or a phone screen. Machine learning programs cannot deviate from
the directions given to them by their algorithms; they collect a certain type of
data, analyze it in a certain type of way and refine their processes in