Knowledge in Artificial Intelligence
Network Security
Network Security
Akash Solanki
Difference between AI and ML
Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords that are being used in the field of Big Data, Analytics and the broader waves of revolutionary technologies. They are often erroneously used interchangeably. Let's see what they both mean. AI - AI involves machines that can perform tasks that are characteristic of human intelligence like planning, understanding language, recognizing objects and sounds, learning, and problem-solving. Types of AI General AI - It would have all of the characteristics of human intelligence Narrow AI - Narrow AI exhibits only some facet(s) of human intelligence. Eg: A machine that’s great at recognizing images, but nothing else. ML - It is the ability of any computer to learn without being explicitly programmed using Training. “Training” involves feeding huge amounts of data to the algorithm and allowing the algorithm to adjust itself and improve. In simpler terms, ML is simply a way of achieving AI.
Sunder Kittappan
What is Artificial Intelligence?
According to the father of Artificial Intelligence, John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs”. Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in a similar manner the intelligent humans think. AI is accomplished by studying how human brain thinks, and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems. Goals of AI To Create Expert Systems − The systems which exhibit intelligent behaviour, learn, demonstrate, explain, and advice its users. To Implement Human Intelligence in Machines − Creating systems that understand, think, learn, and behave like humans. Artificial intelligence is a science and technology based on disciplines such as Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. A major thrust of AI is in the development of computer functions associated with human intelligence, such as reasoning, learning, and problem-solving. Out of the following areas, one or multiple areas can contribute to building an intelligent system.
Bhagyesh Dhatrak
LATEX
Idea of how to create the latex programs
bharathi garava
Artificial Intelligence
Artificial Intelligence Computers are everywhere today. It would be impossible to go your entire life without using a computer. Cars, ATMs, and TVs we use every day, and all contain computers. It is for this reason that computers and their software have to become more intelligent to make our lives easier and computers more accessible. Intelligent computer systems can and do benefit us all; however, people have constantly warned that making computers too intelligent can be to our disadvantage. Artificial intelligence, or AI, is a field of computer science that attempts to simulate characteristics of human intelligence or senses. These include learning, reasoning, and adapting. This field studies the designs of intelligent. Expert systems are also known as knowledge based systems. These systems rely on a basic set of rules for solving specific problems and are capable of learning. The laws are defined for the system by experts and then implemented using if-then rules. These systems basically imitate the expert’s thoughts in solving the problem. An example of this is a system that diagnosis medical conditions. The doctor would input the symptoms to the computer system and it would then ask more questions if need or give diagnoses. Other examples include banking systems for acceptance of loans, advanced calculators, and weather predictions. Natural language systems interact allow computers to interact with the user in their usual language. They accept, interpret, and execute the commands in this language. The attempt is to allow a more natural interaction between the computer and the user. Language is sometimes thought to be the foundation of intelligence in humans. Therefore, it is reasonable for intelligent systems to be able to understand language. Some of these systems are advanced enough to hold conversations.
Mayank Jha
Textbooks
Artificial intelligence ! Different types of problems, solutions and concepts of artificial intelligence
rohit pavan
Artificial intelligence
Artificial intelligence
Lavanya THUMMALAPALLI
Learn Online Courses for FREE
Free courses available on EdYoda Python - https://www.edyoda.com/resources/videolisting/98/ Angular - https://www.edyoda.com/resources/videolisting/1227/ Machine Learning - https://www.edyoda.com/resources/videolisting/1416/ Dog Breed Prediction Project - https://www.edyoda.com/resources/videolisting/1336/ https://www.edyoda.com/resources/videolisting/1185/ Numpy - https://www.edyoda.com/resources/videolisting/1263/ Tensorflow - https://www.edyoda.com/resources/videolisting/99/ Amazon Web Services - https://www.edyoda.com/resources/videolisting/1410/ DevOps - https://www.edyoda.com/resources/videolisting/100/ Android - https://www.edyoda.com/resources/videolisting/101/ https://www.edyoda.com/resources/videolisting/1173/ Implementing Java Api's work - https://www.edyoda.com/resources/dashboard/nayak.chandra1/ Introduction to Neural Nets - https://www.edyoda.com/resources/dashboard/maniksoni653/ Deep Reinforcement Learning - https://www.edyoda.com/resources/videolisting/1421/ Knowledge Graphs, Deep Learning, Reasoning - https://www.edyoda.com/resources/videolisting/1420/ Natural Language Processing - https://www.edyoda.com/resources/videolisting/1419/ GAN Miniseries - https://www.edyoda.com/resources/videolisting/1418/ Videos from deep cognition studio - https://www.edyoda.com/resources/dashboard/deepcognition/
Prithviraj Mane
Learn Machine Learning course for FREE
Free courses available on EdYoda Python - https://www.edyoda.com/resources/videolisting/98/ Machine Learning - https://www.edyoda.com/resources/videolisting/1416/ Dog Breed Prediction Project - https://www.edyoda.com/resources/videolisting/1336/ https://www.edyoda.com/resources/videolisting/1185/ Numpy - https://www.edyoda.com/resources/videolisting/1263/ Tensorflow - https://www.edyoda.com/resources/videolisting/99/ Implementing Java Api's work - https://www.edyoda.com/resources/dashboard/nayak.chandra1/ Deep Reinforcement Learning - https://www.edyoda.com/resources/videolisting/1421/ Knowledge Graphs, Deep Learning, Reasoning - https://www.edyoda.com/resources/videolisting/1420/ Natural Language Processing - https://www.edyoda.com/resources/videolisting/1419/ GAN Miniseries - https://www.edyoda.com/resources/videolisting/1418/ Videos from deep cognition studio - https://www.edyoda.com/resources/dashboard/deepcognition/
Smart parking mini project
This is my mini project idea based on Arduino Uno and servo motor. This is short description about project Project contain servo motors stepper motor and ultrasonic sensor.
Akshay Patil
VEHICULAR AUTOMATION -- ROBOTICS
This ppt contains the study of the journal of the vehicular automation and it entirely contain the explanation of the base paper with suitable references and the use of the problem statement in the present scenarion.
Noble Chovdarriy
INTELLIGENCE IN VIDEO STREAMING
This ppt contain the entire knowledge related to the intelligence in the field of video streaming. This knowledge contain the information that is important to the development of the new technology.