Machine learning tools allow computers to become more accurate in predicting outcomes. The computer’s software makes decisions based on experiences rather than programming. The algorithm (basically a series of instructions) collects data on its interactions, and that data is used as feedback for the algorithm, which changes its behavior and responses, improving them over time. […]
Regularization for Logistic Regression: L1, L2, Gauss or Laplace?
Click to learn more about author Kathrin Melcher. Regularization can be used to avoid overfitting. But what actually is regularization, what are the common techniques, and how do they differ? Well, according to Ian Goodfellow [1]: “Regularization is any modification we make to a learning algorithm that is intended to reduce its generalization error but […]
Big Data and Blockchain are Riding the Hype Wave, Why?
Click to learn more about author Vikash Kumar. Managing massive amounts of numbers, and related data, has become a core part of every sector – from business admin to local/ central government agencies. With the help of Big Data and Data Science, harvesting and managing data has become easier, helping organizations run much more successfullly. However, […]