AI Domains Lesson Notes PDF

LESSON -7 AI Domains Artificial Intelligence Artificial intelligence is a field of study in Computer Science that aims to create intelligent machines that think and react to situations in the same way as human beings.These machines could be a computer, a r...

LESSON -7 AI Domains Artificial Intelligence Artificial intelligence is a field of study in Computer Science that aims to create intelligent machines that think and react to situations in the same way as human beings.These machines could be a computer, a robot or a software. Machine learning - Machine learning focuses on designing computers that can make decisions and predictions.These computers can perform a task based on data instead of being programmed to do it. Applications of Artificial Intelligence i) features such as self parking and advanced cruise controls in modern cars. It is also used to develop self-driving Cars. ii) In the field of the military to develop computers to assist pilots in battle by using the data available at that time and calculate the best possible solution. It is also used to develop intelligent autoPilots for aircraft that mimic human behaviour in case of emergencies robot Domains of AI The Domains of AI are: 1. Data 2. Computer Vision 3. Natural Language Processing Data Data is a collection of raw facts that can be processed to extract meaningful information. It can be in the form of audio, video and data (numbers, symbols,words). Data Science is the study of data. Data source i) Data can be obtained through observation,measurements, studies or analysis. ii) Internet search engines, social media accounts, Government systems, IoT devices are examples of data source. Data set A dataset is a set of numbers or values that pertain to a specific topic. Related data is grouped into a dataset. Test scores of a student in a class is an example for a dataset.  Data types in AI Training data Testing data Training data is used for training the model(70% of Testing data is used for evaluating the the data) model(30% of data) It is used to teach a machine or machine learning It is used while testing or validating the AI application to recognise patterns and trends model’s accuracy Initial dataset. Computer Vision Computer vision is a field of artificial intelligence that trains computers to Interpret and understand the visual world.It is like impairing human Intelligence and instincts to a computer.It uses deep learning algorithms and artificial neural networks. Facebook photo tag feature is an example. Computer vision process includes. Applications of Computer Vision are: Self driving cars Health care Facial recognition Manufacturing Image identification etc Natural Language Processing (NLP) Natural Language Processing (NLP) is the ability of machines to understand and interpret human language the way it is written or spoken. NLP machines comprehend,interpret and manipulate natural language used by humans.  Working of NLP Human talks to machine The machine records this audio signal The audio signal is converted to text The machine process data into action, audio or text The machine evaluates the possible response and action The text is decoded by the machine Communication between machine and human through verbal or text outputs or action taken. NLP is divided into two process Natural Language Understanding (NLU) Natural Language Generation (NLG) NLU helps the machine to interpret data for NLG is a method for creating meaningful understanding the meaning of data sentences in natural language It converts text into a machine-readable format It automatically produces text or speech from structured data with meaningful Phrases and sentences easily understood by humans Applications of NLP Chatbot Voice assistant Autocomplete in Email Search engines Classification and filtering Purpose To interact with To make To guess what To identify an humans by calls,reminders, users are typing email is spam sounding humans. Schedule meetings, and automatically (unwanted ) or browse the internet complete their useful sentences. Technology NLP & Machine NLP (To understand NLP (Search NLP used learning(They what humans are engines use the understand saying and act upon enormous data set language and learn it) to analyse what from their users are typing conversations) when they enter particular words & suggest common possibilites) Example Rammas (DEWA) Siri, Alexa & Google Search Gmail Google Assistant engine