Artificial Intelligence Training Courses

The machine learning life cycle consists of seven key stages: defining the problem, gathering data, cleaning and preprocessing the data, performing exploratory data analysis (EDA), choosing the appropriate model, training the model, and evaluating its performance.

Deep learning is an AI technique that enables computers to process information in a way that mimics the human brain. Models based on deep learning can identify complex patterns in images, text, audio, and other types of data, leading to precise insights and predictions.

Machine learning involves computers learning from data using algorithms to execute tasks without being explicitly programmed. Deep learning, on the other hand, employs complex algorithmic architectures inspired by the human brain, allowing it to effectively process unstructured data like documents, images, and text.

Deep learning is a powerful AI strategy that utilizes multi-layered artificial neural networks, delivering state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation.