Natural Language Processing Algorithms

We know, for each applicant, specific values of different metrics that we think are important and relevant to solving their problem (e.g., their income, credit score, etc.). Another means of solving classification problems — and one that’s exceptionally well-suited to nonlinear problems — is the use of a decision tree. By adding more dimensions to the problem and allowing for nonlinear boundaries, we are creating a more flexible model. Although there are other prominent machine learning algorithms too—albeit with clunkier names, like gradient boosting machines—none are nearly so effective across nearly so many domains. With enough data, deep neural networks… Read More

Quantum Computing in Artificial Intelligence and Natural Language Processing

“The capacity of quantum computers to break current encryption methods cannot be understated,” she says. As a result, businesses should not merely be on a quest for quantum capabilities but also for quantum-resistant security measures. Another example of that is if we want to find two equal numbers in a large amount of data. Again, if we have one million numbers, a classical computer might have to look at all of them and take one million steps. We discovered that a quantum computer could do it in a substantially smaller amount of time. When we use our laptops and smartphones,… Read More