Category Archives: Electric Blog

Hyperparameter optimization is one of the most difficult problems in machine learning. How many layers should my neural network be? How many kernels should each layer have? What type of activation function should I use? What value should I set … Continue reading →

In the realm of artificial intelligence (AI), data has long stood as the principal driving force, propelling advancements and forming the bedrock for the functionality of machine learning models. While the concept of “big data” has captivated collective interest for … Continue reading →

Within this article, we scrutinize the paradigm shift driven by the integration of artificial intelligence into the realms of due diligence and audit. Emphasis is placed on its role in advanced data analysis, precision enhancement, and its developmental trajectory, which … Continue reading →