Artificial Intelligence

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

Particular applications of AI include expert systems, speech recognition and machine vision.

AI can be categorized as either weak or strong. Weak AI, also known as narrow AI, is an AI system that is designed and trained for a particular task. Virtual personal assistants, such as Apple's Siri, are a form of weak AI.

Strong AI, also known as artificial general intelligence, is an AI system with generalized human cognitive abilities. When presented with an unfamiliar task, a strong AI system is able to find a solution without human intervention.

Because hardware, software and staffing costs for AI can be expensive, many vendors are including AI components in their standard offerings, as well as access to Artificial Intelligence as a Service (AIaaS) platforms.

AI can be applied to various types of healthcare data. For example, it is being used to improve patient outcomes and healthcare operational efficiency. AI can be used to help streamline the process of making a diagnosis by analyzing data and identifying patterns. AI can also be used to automate patient interactions and personalize care.

AI is being applied to financial markets. For example, traders use AI to identify trading opportunities. AI can also be used to detect fraud by analyzing unusual patterns in transactions.

AI can be used to analyze social media data. Data from social media can be analyzed to identify trends and make predictions. AI can also be used to respond to customer inquiries.

AI is being used to improve productivity. For example, AI can be used to automate certain tasks, such as scheduling and data entry. AI can also be used to analyze data and identify patterns.

AI can be used to improve cybersecurity. For example, AI can be used to detect and respond to cyberattacks. AI can also be used to identify vulnerabilities in a system.

Artificial Intelligence career paths

Artificial intelligence is a broad field, and there are many career paths that you can take. Here are some of the most common:

• Machine learning engineer
• Data scientist
• Research scientist
• Business intelligence developer
• Big data engineer
• AI engineer
• Robotics scientist

courses

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  Artificial Intelligence

  Beginner

  This video on the Artificial Intelligence tutorial will make you learn in detail about the different concepts involved in AI.

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  Machine Learning for Everybody

  intermediate

  Learn Machine Learning in a way that is accessible to absolute beginners. You will learn the basics of Machine Learning and how to use TensorFlow to implement many different concepts.

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  Python For Data Science

  intermediate

  help you learn Python for Data Science including all the relevant libraries.

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  OpenCV Course

  intermediate

  Learn everything you need to know about OpenCV in this full course for beginners. You will learn the very basics (reading images and videos, image transformations) to more advanced concepts.

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  Natural Language Processing In AI

  advanced

  This video on the Natural Language Processing in AI 2023video cover all the topics you need to know to become a master in NLP(AI and ML).

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  Deep Learning

  advanced

  Deep learning is a subset of machine learning that employs neural networks with multiple layers to automatically learn representations of data for tasks such as classification, regression, and pattern recognition.