machine learning Archives | Megacoms Networks

DATA CLEANING Data Science is an emerging and interdisciplinary field that has gained significant traction due to the exponential growth of data across various sectors. It encompasses the extraction of valuable insights from vast volumes of data using diverse scientific techniques, such as algorithms and processes. However, the raw data, often referred to as primary or source data, frequently contains inconsistent and inaccurate values, leading to erroneous outcomes and biased analyses. In data science, the quality of insights and analyses derived from data is only as reliable as the data itself. Definition of Data Cleaning Data cleaning (data scrubbing) refers to the process of modifying or eliminating useless, inaccurate, duplicate, corrupted, or incomplete data from a dataset. When working with multiple data sources, there are numerous opportunities for data to…

Ensemble Learning Ensemble learning is a machine learning archetype or theory where multiple learners are trained or applied to datasets to solve the same problem by extracting multiple predictions then combined into one composite prediction. It is a process that uses a set of models, each of them obtained by applying a learning process to a given problem. This set of models (ensemble) is integrated in some way to obtain the final prediction.” (Moreira, et al. 2012, 3) This in contrast to ordinary machine learning approaches which try to learn one hypothesis from training data, ensemble methods try to construct a set of hypotheses and combine them to use. It is a powerful way to improve the performance of your model. It usually pays off to apply ensemble learning over…

Tag: machine learning

Data Cleaning Cycle

Ensemble Learning