In this keynote, Eric Boyd shows us what makes Azure AI great for developers, gives behind the scenes stories, and teaches how you can get started with AI today.
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Recently the Global AI Community (https://globalai.community/) held an AI night where Eric Boyd (Corporate Vice President of Azure AI) was the keynote speaker! We thought it would be a great idea to share this keynote as part of the AI Show. In this keynote, Eric Boyd shows us what makes Azure AI great for developers, gives behind the scenes stories, and teaches how you can get started with AI today.
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This "Deep Learning vs Machine Learning vs AI vs Data Science" video talks about the differences and relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
What is the difference between machine learning and artificial intelligence and deep learning? Supervised learning is best for classification and regressions Machine Learning models. You can read more about them in this article.
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