Theres much confusion surrounding artificial intelligence and machine learning.
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In others, they intentionally ignore those differences to create hype and excitement for marketing and sales purposes.
Machine learning relies on defining behavioral rules by examining and comparing large data sets to find common patterns.
This is an approach that is especially efficient for solving classification problems.
This bang out of machine learning is called supervised learning, where an algorithm trains on human-labeled data.
Publications use images such as crystal balls to give an aura of magic to AI. It’s not.
The ML algorithm tries its best to maximize its rewards within the constraints provided.
Reinforcement learning is famous inteaching AI algorithms to play different gamessuch as Go, poker, StarCraft and Dota.
Machine learning is fascinating, especially its more advanced subsets such as deep learning and neural networks.
But its not magic, even if we sometimes haveproblem discerning its inner workings.
At its heart, ML is the study of data to classify information or to predict future trends.
Bottom line: We know what machine learning is.
Its a subset of artificial intelligence.
We also knowwhat it can and cant do.
For instance, until recently is something that changes with time.
Today, the calculator is one of the dumbest applications youll find on every computer.
AI also encompasses a lot of technologies that we know.
Machine learning is just one of them.
Other methods include A*, fuzzy logic, expert systems and a lot more.
A lot of the references made to AI pertain to general AI, or human-level intelligence.
These technologies are becoming increasingly important in our daily lives.
In fact, they are theaugmented intelligence technologiesthat enhance our abilities and making us more productive.
What is an isnt AI can easily be contested, which machine learning is very clear-cut in its definition.
After all, arent machine learning and deep learning the most advanced AI technologies currently available?
And what does AI-powered predictive analytics mean?
Doesnt predictive analytics use machine learning, which is a branch of AI anyway?
Why do tech companies like to use AI and ML interchangeably?
Since the term artificial intelligence was coined, the industry has gone through many ups and downs.
Companies suddenly started to use the terms machine learning and deep learning to market their products.
Deep learning started to perform tasks that were impossible to do with rule-based programming.
And that is perhaps why were seeing a shift back to AI.
All these elements have helped reignite the excitement and hype surrounding artificial intelligence.
This helps them oversell or remarket the capabilities of their products without being clear about their limits.
This will help those companies generate hype around their offerings.
