Machine Learning

  What is Feature Engineering?  Feature engineering is the process of improving a model’s accuracy by using domain knowledge to select and transform raw data’s most relevant variables into features…

Feature engineering is an important part of leveraging big datasets. Even with the right technical skills and domain knowledge, it can still be a time consuming process. This blog article…

Machine Learning and its evaluation are foundational to modern technological advancements. As we delve into the intricate world of algorithms and data, understanding core concepts is paramount. Whether it’s the…

An introduction to AI explainability; why should you trust your model? Explainable artificial intelligence (XAI) is the process of understanding how and why a machine learning model makes its predictions….

Data Matching Definition Data matching, also known as record linkage, refers to the process of comparing two sets of collected data, typically via advanced machine learning algorithms or by programmed…

In an era where data drives decisions, understanding its intricacies and the roles that harness its power is paramount. This journey begins with grasping the overarching discipline of data science,…

As published on Medium. Every Data Engineer who uses Elasticsearch as a documents store, knows that there are many parameters that affect the queries latency, throughput, and eventually the Queries…

Companies today understand the value of external data and the need to look beyond their four walls to get the data required for accurate predictive models. This is especially true…

To decision-tree or not to decision-tree, that is the question. Or to cluster, for that matter. Or to linear regress. Classification is a key part of machine learning (ML), helping…