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A Guide to Artificial Intelligence and Machine Learning

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A Guide to Artificial Intelligence and Machine Learning

A Guide to Artificial Intelligence and Machine Learning

 

If you don’t reside beneath a rock, then you might have heard of Artificial intelligence (AI) and Machine learning (ML) quite often. The most buzzed-about disruptive technologies that are converting commercial enterprise landscapes, these days are Machine Learning (ML) and Artificial Intelligence (AI).

 

Only hearing about them is not enough, do you know what the fuss is all about?

 

People nowadays are a lot confused about what is Artificial Intelligence (AI) and Machine Learning (ML). No worries, we got you covered. Let’s dive in a bit deeper and know all the basic information about what exactly Artificial Intelligence (AI) and Machine Learning (ML) are about.

 

Both the phrases are regularly getting used as synonyms and in a few instances as discrete or parallel advancements.

 

In reality, Machine Learning (ML) is Artificial Intelligence (AI) what neurons are in the human brain.

 

Whereas, on the other end Artificial Intelligence (AI) means a method of creating computer systems that behave in the manner people do. Artificial Intelligence is exceedingly broad in space and is a system other than just an independent data model.

 

What is Artificial Intelligence (AI)?

 

Artificial Intelligence (AI) is demonstrated by machines. It is the feature of intelligence that's programmed to examine and imitate the moves of humans. Artificial Intelligence has widely grown and has become very popular in today’s world.

 

Starting from virtual assistants to self-driving cars, most of the things in today’s world are ingrained with Artificial Intelligence (AI).

 

How Artificial Intelligence (AI) works?

 

Building an AI tool is a careful way of reverse-engineering human inclinations and skills in a machine, and the use of its computing powers to surpass what we’re a success of.

 

How is Artificial Intelligence categorized (AI)?

 

Artificial Intelligence (AI) is basically categorized into 3 parts.

 

1. Artificial Narrow Intelligence (ANI)

2. Artificial General Intelligence (AGI)

3. Artificial Super Intelligence (ASI)

 

Artificial Narrow Intelligence (ANI):  Artificial Narrow Intelligence is stage 1 i.e., Machine Learning. It is designed in such a way that it specializes in one area and solves one single problem really well.

 

Artificial General Intelligence (AGI): Artificial General Intelligence is stage 2 i.e. Machine Intelligence. It is designed in such a way that it refers to a computer that is as smart as a human across the board.

 

Artificial Super Intelligence (ASI): Artificial Super Intelligence is stage 3 i.e. Machine Consciousness. Its intellect is designed in such a way that it is much smarter than the best human brain in practically every field.

 

Where is Artificial Intelligence used?

 

1. Artificial Intelligence (AI) is used for searching within the data, optimizing the search, and delivering the most obvious results.

2. Artificial Intelligence (AI) is used to identify notable patterns and pattern detection.

3. Artificial Intelligence (AI) is also used to predict future outcomes.

 

 What are the advantages of Artificial Intelligence?

 

1. Availability of 24*7

2. Cutback of Human Error

3. Quick Decisions

4. Digital Assistance

5. Security check

6. Better Communication

 

Top applications using Artificial Intelligence (AI):

 

1. Google Maps. (AI-powered predictions)

2. Uber (Ride sharing)

3. Facial Recognition

4. Voice to text typing feature

5. Plagiarism tools

6. Siri, Alexa (Smart Personal Assistants)

7. Filters on spams for EMails

8. Search recommendations

 

Sectors where AI is being used:

 

1.  Banking

2.  Healthcare

3.  Entertainment

4. Manufacturing

5.  Marketing

6.  Travel

 

Career trends In Artificial Intelligence (AI):

 

For instance, around 57 percent of the companies in India are interested in Artificial Intelligence (AI) and are looking forward to hiring staff working for AI roles.

 

Other than that, around 60 to 70 percent of Salary Hike has been witnessed in the job switch in the Artificial Intelligence (AI) domain.

 

City-wise remuneration trends have also changed in the terms of Artificial Intelligence. The most top metro cities Mumbai, Chennai, and Bangalore have seen a shift in remuneration trends. For now, Mumbai is at 15.6 L, Bangalore is at 14.5 L and Chennai is about 10.5 L. 

 

Technologies that have massive demand but limited supply always command outsized salaries in which Artificial Intelligence (AI) is no different. Artificial Intelligence has made out its path till now and will definitely make it in the future with a huge bang.

 

What is Machine Learning (ML)?

 

As compared to Artificial Intelligence (AI), people are less aware of Machine Learning and its usage in everyday lives. But in reality, Machine Learning is also one of the latest buzzwords which people tend to hear.

 

As stated above in the article Machine Learning (ML) is known as one of the core tenets of Artificial Intelligence (AI). Machine learning (ML) is regarded as the subset of Artificial Intelligence (AI).

 

The power to learn from experience, rather than just reading the instructions is Machine Learning (ML).

 

Types of Machine Learning (ML):

 

Machine Learning (ML) is basically categorized into 3 parts.

 

1.    Supervised Learning

2.    Unsupervised Learning

3.    Semi-supervised learning

4.    Reinforcement Learning

 

Application of Machine Learning (ML):

 

1.    Web Search Engine: The most widely used search engines like Google, Bing, etc. work so finely because of learning algorithms.

2.   Photo tagging Applications: Be it Instagram, FB, or any other social media platform that provides you the feature of photo tagging works in a proper manner because of an algorithm that runs behind the application.

3.    Spam detector: Protecting our privacy and using a filter of putting the spam mails in the spam folder.

4.    Traffic predictions

5.    Online fraud Detection

6.    Virtual Assistants

 

Usage of Machine Learning (ML):

 

1.    Improve business

2.    Take quick decisions

3.    Increased productivity

4.    Weather forecast

5.    Growth of AutoMation

 

 

 

 

 

 

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