Artificial Intelligence (AI) and Machine Learning (ML)

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AI includes everything from smart assistants like Alexa to robotic vacuum cleaners and self-driving cars. Machine learning (ML) is one among many other branches of AI. ML is the science of developing algorithms and statistical models that computer systems use to perform complex tasks without explicit instructions.

What is the difference between artificial intelligence AI and machine learning ML )?
In simplest terms, AI is computer software that mimics the ways that humans think in order to perform complex tasks, such as analyzing, reasoning, and learning. Machine learning, meanwhile, is a subset of AI that uses algorithms trained on data to produce models that can perform such complex tasks.
How many devices will be connected to the internet by 2025?
A forecast by International Data Corporation (IDC) estimates that there will be 41.6 billion IoT devices in 2025, capable of generating 79.4 zettabytes (ZB) of data.
What is the meaning of AI ML?
Machine learning (ML) is a subset of AI that falls within the “limited memory” category in which the AI (machine) is able to learn and develop over time.

What is the salary of AI ML engineer?
The average salary for AI/ML Engineer is ₹10,01,920 per year in the India. The average additional cash compensation for a AI/ML Engineer in the India is ₹1,01,920, with a range from ₹47,073 - ₹1,99,180. Salaries estimates are based on 171 salaries submitted anonymously to Glassdoor by AI/ML Engineer employees in India.

What is the AI in ML?
What is machine learning? Machine learning is an application of AI. It's the process of using mathematical models of data to help a computer learn without direct instruction. This enables a computer system to continue learning and improving on its own, based on experience.

Is ChatGPT an AI or machine learning?
ChatGPT is an artificial intelligence (AI) chatbot that uses natural language processing to create humanlike conversational dialogue. The language model can respond to questions and compose various written content, including articles, social media posts, essays, code and emails.

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