Struggling to understand the difference between Artificial Intelligence vs Machine Learning vs Deep Learning vs Data Science? In this video, I'll be giving you an individual comparison with the difference between AI vs ML vs DL vs Data Science in simple words.
Struggling to understand the difference between artificial intelligence vs machine learning vs deep learning vs data science? Confused about which term to use where? Or, simply, all of these look similar to you? Well, no worries, in this video, I'll be giving you an individual comparison with the difference between AI vs ML vs DL vs Data Science in simple words.
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different
Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.
Data Augmentation is a technique in Deep Learning which helps in adding value to our base dataset by adding the gathered information from various sources to improve the quality of data of an organisation.