Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

Algorithms and deep learning: ... Algorithms are a really good example of something we all use every day, Blundell noted. In fact, he added, there aren’t many algorithms out there.

Deep learning applications. There are many examples of problems that currently require deep learning to produce the best models. Natural language processing (NLP) is a good one.

8 practical examples of deep learning. Now that we’re in a time when machines can learn to solve complex problems without human intervention, what exactly are the problems they are tackling?

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases ...

For example, Q-learning, a classic type of reinforcement learning algorithm, creates a table of state-action-reward values as the agent interacts with the environment.

What’s new are the deep learning algorithms. Today, Algorithmia offers just over 2,500 algorithms, sixteen of which are deep learning models added by coders in July, at the urging of Oppenheimer ...

In unsupervised learning, the algorithm goes through the data itself and tries to come up with meaningful results.The result might be, for example, a set of clusters of data points that could be ...

Deep learning has already changed how marketing operates in ways both obvious and subtle and has transformed how brands interact with consumers as well as how consumers relate to brands.

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural networ ...