Difference between Artificial Intelligence and Machine Learning

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Hello Guys today I will tell you the difference between Artificial Intelligence and Machine Learning. We all have been hearing about AI and ML but most of us do not know that both of them are different. Let us first know what is ML and AI.

What is AI and ML?

What do you understand by AI, an artificial program created by human to do intelligent stuff which is done by humans. AI is a program written by humans so that the it can be implemented into system, and the system could perform the intelligent task like taking decision similar to human. I have written a post on What is AI please refer that for more information.

What do you understand by ML, is a form of application which learns from experience without being explicitly programmed. ML is a program which reads the data and analyze the patterns to perform future predictions without human intervention. It is an Algorithms whose performance improves as they are exposed to more data over time

From this we saw that both of them are going to perform task without the need of a human. ML is a subset of AI.

The Key difference are

ARTIFICIAL INTELLIGENCE (AI) MACHINE LEARNING (ML)
AI stands for Artificial intelligence, where intelligence is defined as acquisition of knowledge and ability apply the knowledge. ML stands for Machine Learning which is defined as the acquisition of knowledge or skill
The aim is to increase chance of success and not accuracy. The aim is to increase accuracy, but it does not care about success
It leads to develop a system to mimic human and to respond in circumstances. It involves in creating self-learning algorithms.
The goal is to simulate natural intelligence to solve complex problem The goal is to learn from data on certain task to maximize the performance of machine on this task.
AI is decision making. ML allows system to learn new things from data.
AI will go for finding the optimal solution. ML will go for only solution for that whether it is optimal or not.

Some example of AI and ML which will clear where it is used and a proper idea about the concept.

Machine Learning examples

  • Google Maps
  • Google Search
  • Gmail
  • PayPal
  • Netflix
  • Uber
  • Siri and Cortana

Artificial Intelligence examples

  • Google Self driving car, Tesla autopilot and Audi A7 self-driving car
  • Fraud Detection, especially online transaction fraud
  • Online customer support, many live chats on the website are done by AI
  • You can generate simple articles, using this app Wordsmith software. It is an AI that gives you simple articles that don’t require a lot of synthesis
  • Security surveillance, using AI here would improve the security and security algorithms can take input from security cameras and determine whether there may be a threat—if it “sees” a warning sign, it will alert human security officers
  • Music and movie recommendation, apps like Netflix and Pandora recommend according to the interest and past usage

You might be wondering some examples are same in both i.e. is because ML is a subset of AI and without ML you cannot create AI. A machine has to learn first where ML comes to play then only it can do intelligent tasks. I think this would have cleared some doubts in your mind if not free feel to ask question or do a little search on your own.

Also read this post about Salesforce Cisco integration by tenfold.


Also published on Medium.