Lect 3 PDF - Troubleshooting & AI

Troubleshooting is the process of figuring out how to solve a computer problem. Even with the most updated software and hardware, sometimes computers can malfunction. planning to solve a problem: 1. must figure out which part of the system is malfunctioning. 2. need to check each component of the c...

Troubleshooting is the process of figuring out how to solve a computer problem. Even with the most updated software and hardware, sometimes computers can malfunction. planning to solve a problem: 1. must figure out which part of the system is malfunctioning. 2. need to check each component of the computer, unless it is obvious where the problem is coming from. 3. Isolating the problem will help you solve the problem quickly. 4. Knowing how to solve these problems with a shortcut perhaps using only a few keys on the keyboard can save time and effort. 5. Backing up your important computer files to another source will ensure that if your problem cannot be corrected, you will still have a safe copy of your information. 1. The computer is frozen. 2. A program is not responding. 3. The keyboard is not working. 4. New hardware or software is working incorrectly. 5. The mouse is not working. 6. The computer is slow. 7. The browser’s homepage suddenly changed. The origins of AI can be traced back to the 1950s, when researchers began to explore the possibility of creating machines that could think and reason like humans. Artificial Intelligence is the ability for a computer to think, learn and simulate human mental processes, such as learning, problem-solving, and decision- making. It can also independently perform complex tasks that once required human input. Today, AI is a rapidly growing field that is transforming the way we live and work. From virtual assistants like Siri and Alexa to self-driving cars and sophisticated medical imaging systems 1- Narrow or weak AI 2- General or strong AI Narrow AI is designed to perform specific tasks or solve specific problems, such as image recognition or language translation. It relies on machine learning algorithms that are trained on large datasets to recognize patterns and make predictions based on those patterns. General AI, on the other hand, aims to replicate human intelligence in a broad range of domains, such as reasoning, perception, and creativity. AI has a wide range of applications across various industries and domains:- In healthcare, for example, AI is being used to improve disease diagnosis and treatment by analyzing medical images and patient data. In finance, AI is being used to analyze market trends and make investment decisions. In transportation, AI is being used to optimize traffic flow and improve road safety. In education, AI is being used to personalize learning and improve student outcomes Machine learning is a subset of artificial intelligence (AI) that involves the use of algorithms and statistical models to enable machines to learn from data and improve their performance on specific tasks At its core, machine learning involves the use of algorithms that enable machines to learn from data. These algorithms are designed to identify patterns and relationships in the data and use that information to make predictions or take actions.