Hybrid Quantum-Classical Machine Learning using Qiskit
Offered By: PyCon US via YouTube
Course Description
Overview
Explore the development of a hybrid Quantum-Classical Machine Learning framework using Qiskit, an open-source Python toolkit for quantum computing. Delve into the process of building quantum circuits and classical models for machine learning tasks, including text classification and sentiment analysis. Learn how to leverage the power of quantum computing in conjunction with traditional machine learning techniques to tackle complex problems. Gain insights into the practical applications of this cutting-edge approach and understand its potential impact on the field of artificial intelligence.
Syllabus
Talks - Naveed Mahmud: Hybrid Quantum-Classical Machine Learning using Qiskit
Taught by
PyCon US
Related Courses
Applied Text Mining in PythonUniversity of Michigan via Coursera Natural Language Processing
Higher School of Economics via Coursera Exploitez des données textuelles
CentraleSupélec via OpenClassrooms Basic Sentiment Analysis with TensorFlow
Coursera Project Network via Coursera Build Multilayer Perceptron Models with Keras
Coursera Project Network via Coursera