Answer :
To understand the relationships between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), it's important to look at how these concepts relate to one another:
Artificial Intelligence (AI): AI is a broad field of computer science focused on creating systems that can perform tasks that typically require human intelligence. These tasks can include problem-solving, understanding language, and recognizing patterns.
Machine Learning (ML): ML is a subset of AI. It involves the study and development of algorithms that allow systems to learn and improve from experience without being explicitly programmed. In simple terms, ML allows computers to learn from data.
Deep Learning (DL): DL is a further subset of ML. It utilizes neural networks with many layers (hence 'deep') to analyze various factors of data. DL is particularly effective in tasks like image and speech recognition where it can automatically identify and extract features from raw data.
Therefore, the TRUE statement is:
2. ML is a subset of AI, and DL is a subset of ML.
In summary, AI encompasses a wide range of technologies and practices designed to mimic human intelligence. Within AI, Machine Learning focuses on algorithms that allow learning from data. Deep Learning takes this a step further with layered neural networks designed to process and learn from vast amounts of complicated data.
