Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding redundant ...

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Participants will code, simulate, and benchmark advanced quantum algorithms while applying Quantum Machine Learning (QML) to ...

The 6.5-month online course will help learners progress from quantum internet protocols and secure communication to quantum ...

The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...

IIT Roorkee has launched a 6.5-month online Advanced Certificate in Quantum Computing: Algorithms and AI/ML to equip ...

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...

The curriculum covers key areas such as quantum internet protocols, secure communication, quantum algorithms, and quantum machine learning (QML) ...