What is AI?
Human to Machine
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. It involves the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Concept
The concept of AI dates back to ancient times, but the term “artificial intelligence” was first coined in 1956. AI has since grown to encompass a wide range of technologies and applications, including Machine Learning (ML), Deep Learning (DL), and Data Science (DS).
Exploring the Fundamentals of AI, ML, DL, DS, ANN
AI is a broad field that encompasses various techniques and approaches, including ML, DL, and DS. Machine Learning focuses on the development of algorithms that enable machines to learn from data and make predictions or decisions based on that data. Deep Learning, on the other hand, involves the use of neural networks to model complex patterns and relationships in data. Data Science involves the extraction of knowledge and insights from large and complex datasets, using a combination of statistical analysis, machine learning, and other methods. Artificial Neural Networks (ANN) are a key component of AI, as they are used to simulate the structure and function of the human brain in order to process complex information and make decisions.
Excellent Gourab !!!
❤❤…this how we can teach/learn complex things…❤❤…i.e. start from very besics and go deep…
Well done.
Well explained!!!!!!!!!!!!!