Artificial Intelligence, Machine Learning, and Deep Learning
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are related but distinct fields of study and technology.
Artificial Intelligence (AI) is a broad field encompassing various technologies and approaches for creating intelligent systems. It includes subfields such as rule-based systems, planning, problem-solving, and more recent technologies such as Machine Learning and Deep Learning.
Machine Learning (ML) is a subset of AI that involves creating algorithms and models that allow systems to learn from data and improve their performance over time without being explicitly programmed. Machine Learning algorithms can be divided into supervised Learning, unsupervised Learning, and reinforcement Learning.
Deep Learning (DL) is a specific type of Machine Learning that utilizes deep neural networks, which are algorithms inspired by the human brain’s structure and function. These deep neural networks consist of multiple layers that process and analyze large amounts of data, allowing them to identify complex patterns and make predictions. Deep Learning is commonly used in image and speech recognition, natural language processing, and other applications that involve large amounts of unstructured data.
In summary, AI is a broad field that encompasses multiple subfields, including Machine Learning and Deep Learning. Machine Learning is a subset of AI that creates algorithms allowing systems to improve performance over time. Deep Learning is a specific type of Machine Learning that utilizes deep neural networks to process and analyze large amounts of data.
Machine Learning for Web Developers (Web ML)
Learn the foundations and definitions for some of the industry’s most used buzzwords like Artificial Intelligence, Machine Learning, and Deep Learning and what they refer to.