It is important to establish baseline performance on a predictive modeling problem. A baseline provides a point of comparison for the more advanced methods that you evaluate later. In this tutorial, you will discover how to implement baseline machine learning algorithms from scratch in Python. After completing this tutorial, you will know: How to implement the random [...]
In academia, new applications of Machine Learning are emerging that improve the accuracy and efficiency of processes, and open the way for disruptive data-driven solutions. For example, the implementation of Data Science in Biomedicine is helping to accelerate patient diagnoses and create personalized medicine based on biomarkers. Aligned with these advancements, we have received growing interest [...]
Database and data warehouses can only store data that has been structured. A data lake, on the other hand, does not respect data like a data warehouse and a database. It stores all types of data: structured, semi-structured, or unstructured. In comparison, a data lake is more of an unstructured collection of data in its “original format.” In other words, it's not being stored for immediate. References: www.bmc.com www.information-age.com
Education is the key to shaping the lives of people. It holds the power to transform and enrich the lives of people. Since the dawn of civilization, humans have evolved through education and have developed mechanisms to improve education. In the 21st century, where data is omnipresent in every walk of life, education is no exception. [...]
A baseline is a method that uses heuristics, simple summary statistics, randomness, or machine learning to create predictions for a dataset. You can use these predictions to measure the baseline's performance (e.g., accuracy)-- this metric will then become what you compare any other machine learning algorithm against. you know: There are many machine learning algorithms to [...]
