Machine learning and Artificial Intelligence Samskriti Solutions

Views:
 
     
 

Presentation Description

AI is a non-natural or human made intelligence which has the ability to think. A machine learns on its own without explicit programming when it comes to ML. AI can provide the system ability to automatically learn and improve from experience.

Comments

Presentation Transcript

Slide2:

Artificial Intelligence (AI ) AI is a non-natural or human made intelligence which has the ability to think. AI can be categorized into two, mainly General and Narrow. General AI would have almost all the characteristics of human intelligence. Narrow AI consists of certain features of human intelligence. A machine capable of recognizing only the sounds around it can be an example for narrow AI.

Slide3:

[email protected] Call us : +91 40 2340 2060, +91 40 2340 2061 About AI AI is known as the study of training computers so that they can do whatever the humans do very well AI aims at increasing the chance of success rather than accuracy It works as a  smart computer program It also aims at stimulating natural intelligence to solve complex issues Decision making is done using AI AI goes to find the optimal solution

Slide4:

IOT Internet of Things (IoT) needs some element of AI for working. IoT is a collection of big data which can help humans achieve what they intend to have. AI and IoT are inextricably tangled. It’s like how human brain and body is related. IoT collects the data essential and AI analyses it and brings out meaning out of the collected data ad decides how to take action. A machine learns on its own without explicit programming when it comes to ML. AI can provide the system ability to automatically learn and improve from experience. Machine Learning

Slide5:

Machine Learning (ML) ML is defined as the acquisition of skill or knowledge It aims at accuracy and is not concerned about success rates The machine takes data and learns from it in this case It learns from data to maximize the performance of the machine It allows system to learn new things from the acquired data ML creates self learning algorithms ML goes for solution, not considering whether its optimal or not

Slide6:

Deep learning is one of the many approaches to machine learning . Deep learning was inspired by the structure of the brain, namely the interconnecting of many neurons. Artificial Neural Networks (ANN) are algorithms which mimic the brain structure. In ANN, there are layers which are connected to other neurons. It is this layer that gives the name deep learning, where depth is created using multiple layers rather than a single layer Deep Learning

Slide7:

Machine learning and Deep learning have benefitted AI in a lot of ways. All this requires massive amount of data and that data is collected by IoT. Thus IoT makes better AI. AI can also be used to identify when machines need servicing and maintenance to work efficiently and thereby saving millions when it comes to a huge company or an organization. BENEFITTED AI Thinking from a consumers perspective, rather than clicking, typing and searching, if we ask for answers or solutions and get it, that can make us believe when compared to checking all the search results and finding out the apt one for us.

Slide8:

#511, Maheshwari Chambers, Opp. Mercure hotel, Punjagutta Main Road, Somajiguda, Hyderabad - 500 082 Telangana, India. Phone: +91 40 2340 2060 +91 40 2340 2061 Email: [email protected] You have any queries, mail us at [email protected] CONTACT US

authorStream Live Help