Question

Informative Speech Outline on the difference between machine learning and artificial intelligence.

Answer 1

Q Informative Speech Outline on the difference between machine learning and artificial intelligence.

Ans: let's see the machine learning and artificial intelligence one by one.

Artificial Intelligence (AI):  What Is Artificial Intelligence (AI) is basically can be defined as the simulation of the human intelligence in the machine programmed in such a way that it will be able to think just like human and mimic the action.Some of the key points about the artificial intelligence are as follow:

• In the simple words we can define it as , artificial intelligence is an  simulation of the human intelligence in machines.
• Basically the goal of the  artificial intelligence are included as  reasoning, learning, and perception.
• AI are used across the different industries like healthcare and finance etc.

Applications of AI: In current time AI is mostly used each and every one.Some of the applications are as follows:

• In Natural Language Processing : IN natural language processing it is possible that we can interact with the computer by understanding the natural language that are spoken by the humans.
• Speech Recognition: We all are very well about the Alexa and Siri etc that all are the application of the AI.
• Handwriting Recognition.
• For Gaming .
• Expert Systems.
• For the Handwriting Recognition.
• In Intelligent Robots.

Categorization of Artificial Intelligence : Basically the AI are divided in to  two different categories: Strong and week.

Strong artificial intelligence: In this types of the systems that carries the tasks that are considered to be like human.This types of systems are considered as the more  complicated and the  complex tasks.This types of systems include like the  self-driving cars or in hospital operating rooms.

Weak artificial intelligence: This types of the systems are basically designed to perform the particular task. The example of the weak AI systems are like the personal assistants such as the Amazon's Alexa and Apple's Siri and video games such as the chess etc.

Why is artificial intelligence important?

• AI basically analyzes the more and deeper data .
• It achieves incredible accuracy.
• It automates the repetitive learning and discovery through data.
• AI basically adds the intelligence to existing products.

Machine learning : Machine learning is basically the science that deals the algorithm and the systems that perform the specific tasks by using the inference and the patterns rather than the explicitly programmed.Some of the key points about the machine learning are as follows:

• Machine learning is basically the sub-set of the artificial intelligence (AI) .In this the computer program can learn and adapt  the new data without human intervention.
• It is very useful when we deal with the large volume of the data and it help to parse that amount of the data.
• It can be applied in the variety of areas, such as the advertising,investing, lending,fraud detection, and more.

Types of Machine Learning: There are the three types of the machine learning;

1) Supervised Learning:In the simple words we can define it as in the supervised learning the Labeled data are used to train the model. Basically the learning is guided by the teachers.Labbeled data are the data that have the both  input and output parameters.Example of the Supervised Learning Algorithms: Linear Regression,Support Vector Machine etc.Supervised learning classified into two categories:

• Classification: In this types of the algorithm the  the output variable is a category like “disease” and “no disease”.
• Regression: This types of the problem the output  variable is a real value like the “weight”,“dollars”.

2) Unsupervised Learning: In the unsupervised learning the unlabeled data are basically allow a model to learn from the unlabeled data and  the algorithm basically act on that information without guidance.Here the task of the machine are grouped on the basis of the  patterns,similarities.It is classified into two categories:

• Clustering
• Association

3) Reinforcement Learning:In this the suitable actions are taken that maximizes the reward in a particular situation by taking the suitable action .It has the two type:

1) Positive .

2) Negative .

Some of the key differences between the machine learning and artificial intelligence are as follows:

Artificial Intelligence (AI):

• It is an human intelligence that demonstrated by the machine that perform simple to complex tasks.
• It is based on the characteristics of the human intelligence.
• It is widely used nowadays like the healthcare,marketing,finance etc.

Machine Learning:

• It basically provides the machine the ability to understand and learn without the explicitly programmed.
• It is basically based on the system of the probability.
• It is used in the web security, imitation learning etc.

THANKS , i think this will give you a better intuition about your question.If you have any doubt feel free to ask in the comment section.