In the decade since the first Machine Learning course debuted, Python has become the main programming language for AI applications. The assignments and lectures in the new Specialization have been rebuilt to work with Python as opposed to Octave, like in the initial course.
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Ans. QML is often a technique of combining machine learning and quantum computing concepts, by which qubits are made use of in place of bits as well as product is trained. QML can aid inside the rushing up of present algorithms, the development of latest algorithms, and the answer of a lot more complex algorithms.
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Components limitations: So that you can be used for machine learning applications in the real world, quantum computers still have a long way to go on account of important components restrictions.
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Quantum anomaly detection: Each time a quantum computer is being hacked, quantum computing explained by way of example, anomalies inside the system are available using quantum machine learning.
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• Build machine learning models in Python using well-liked machine learning libraries NumPy and scikit-learn.