Things you need to know about machine learning and AI

Things you need to know about machine learning and AI

2020 saw a massive rise in the technology domain. Apart from large-scale companies, SMBs were also able to leverage the rise. As automation is becoming a thing now, the adaptation of AI and machine learning is providing fruitful results to businesses.

Let's start with Machine Learning:

Machine learning is when machines can takes the algorithms and improve them and learn over time as they interact with more data. Their main role is to provide the best insights to increase business efficiency and customer experience. Machine learning is enabling computers to tackle tasks that have had needed manpower.

From driving cars to translating speech, machine learning is emerging in the capabilities of artificial intelligence.

Machine learning is split into two main categories: supervised and unsupervised learning. Semisupervised is also there to be found in some cases.

Supervised: This basically means that a human teaches the machine by example. During training for supervised learning, systems are exposed to large amounts of labeled data, although some systems need to be exposed to millions of examples to master a task.

Unsupervised: These deal with identifying patterns in data, trying to spot similarities that split that data into categories. Unsupervised learning algorithms aren't designed to take out specific types of data. They simply look for data that can be grouped by similarities.

Semisupervised: As the name suggests, this approach is a mixture of supervised and unsupervised learning. The technique relies upon using a small amount of labeled data and massive unlabelled data to train systems.

And now, Artificial Intelligence:

AI is changing the way to live in today's era. It is being integrated into all kinds of products and services. From personalized recommendations on music apps and video streaming services on OTT platforms to the incoming generation of connected cameras and autonomous cars, AI is changing our lives.

It's like an umbrella representing a range of methods that enable machines to mimic human intelligence.

AI is split into four categories:

Reactive: It only responds to different stimuli as no data or feedback is stored. No memory.

Limited memory: Can perform tasks with limitations, uses memory to learn and improve its responses.

Self-Aware: Can mimic human intelligence and can be aware of the situation.

Theory of Mind: Theory of Mind AI consists of ML systems that can explain their decisions in languages that human beings understand.

The difference between the two:

Machine learning is a subset of AI that refers to a machine's ability to think without any manpower or being supervised. Traditional devices are programmed with a set of rules for how to act, and then this takes the form of if-then-else statements. Whereas artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.

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