| Bias |
Bias in machine learning occurs when a model produces errors because it oversimplifies the problem or because of training decisions, such as the type of model used or the quality of the training data. This can cause the model to overlook important patterns. |
| Boosting |
An ensemble learning strategy that improves accuracy by combining predictions from multiple weak learners. |
| Bagging |
A learning strategy that involves training many models on distinct random sections of the data and then combining their results to produce a more accurate and trustworthy outcome. |
| Batch Normalization |
A strategy for making neural networks train quicker and more precisely by modifying and scaling data as it travels through the network. |
| Big Data |
Refers to massive, complicated datasets that are too large for typical data processing methods to manage. More advanced technologies are usually required to store, analyze, and derive insights from the data, which frequently comes from various sources at high speeds |
| Backpropagation |
A learning algorithm used by neural networks which adjusts for mistakes, making the network better at predicting the right answers. |
| Bayesian Optimization |
A clever method for determining the best model parameters by leveraging previous findings to guess and test the most promising possibilities next. |
| Bot |
A software model that is designed to execute automatic functions like as answering questions, sending messages, and surfing the internet without the need for human assistance. |
| Big Data Analytics |
The practice of studying huge and complicated datasets to discover useful patterns and insights that can help businesses make better decisions. |
| Bias-Variance Tradeoff |
A machine learning design method that seeks to strike the optimal balance between making a model too simple (which misses patterns) and too complex (which overreacts to minor details) to create the most accurate predictions. |
| BI |
Business Intelligence (BI) refers to the technology, tools, and procedures that collect, integrate, analyze, and visualize business information. By offering insights into an organization's operations, performance, and trends, business intelligence helps business leaders make more informed decisions. |
