Machine Learning is a core component of Artificial Intelligence that includes how machines can analyze data, identify patterns, and make decisions with low to no human intervention.
With the ever-increasing demand for machine-automated solutions, ML has become one of the rapidly evolving technologies along with AI & Data Science.
Deep Learning, also known as neural learning or deep neural learning, is a part of Machine Learning that uses networks for learning from unorganized or unlabelled datasets.
Data Science is the process that defines the algorithms, methods, and techniques required to analyze data to extract patterns, meaning, or sense that can be used for decision-making or prediction purposes.
Today, data science is applied in statistics, business intelligence, and computer science fields to be applied in finance, e-commerce, sales, marketing, and related domains worldwide.
Transformers are deep learning models designed for processing sequential data, especially in NLP tasks.
They use self-attention mechanisms to understand context and relationships in text.
Transformers power models like BERT and GPT, enabling advanced AI applications. Their efficiency has revolutionized machine learning and AI research.
Artificial Intelligence (AI) enables machines to simulate human intelligence, learning from data to make decisions.
It powers applications in automation, healthcare, finance, and more.
AI includes machine learning, deep learning, and natural language processing. Its rapid growth is shaping the future of technology..