Deep learning is a subset of artificial intelligence that focuses on building machines capable of intelligent behavior by using algorithms to sift through data, learn from it, and make predictions or take autonomous actions. Machine learning is a branch of AI that involves training algorithms to independently learn, reason, and perform specific tasks, with supervised and unsupervised learning being the two main approaches. Supervised learning involves using labeled data to train models and generate predictions, while unsupervised learning relies on unlabeled datasets to uncover structures and patterns in the data. The differences between machine learning and deep learning are significant, with deep learning focusing on neural networks that can learn complex patterns in data. The next part of the series will delve deeper into deep learning and evaluate key considerations when selecting a database for new projects.