Quantum Computing and AI Can Pave the Way for Endless Possibilities. In this article, see how quantum computing can help pave the way for data science.
Quantum computing refers to the use of quantum phenomena like superposition and entanglement for computation. It focuses on developing computer technology based on quantum theory principles, which explain the behavior of energy and material on atomic and sub-atomic levels.
Classic computers that we use in our daily lives encode information in bits that are given values between 1 or 0. Quantum computing, however, uses quantum bits or qubits, harnessing subatomic particles’ ability to exist in more than one state, that is, 1 and 0, at the same time. This empowers quantum computers to handle operations at exponential speeds compared to conventional computers while also consuming lesser energy.
Bank holding company BBVA believes that using quantum algorithms in artificial intelligence techniques will boost machines’ learning abilities.
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
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
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In this tutorial on "Data Science vs Machine Learning vs Artificial Intelligence," we are going to cover the whole relationship between them and how they are different from each other.