Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, and presentation of data. The Central Limit Theorem (CLT) is a fundamental concept in statistics that underpins many statistical methods and analyses. It is a powerful tool for analyzing large datasets and predicting outcomes based on limited information. The CLT states that …
In today’s world, e-commerce has become an integral part of our lives, and the success of these platforms relies on providing personalized recommendations to users. Recommender systems, therefore, play a crucial role in providing these personalized recommendations, and are used extensively in various industries, including music, movies, and online shopping. Recommender systems utilize users’ past …
Introduction As the world becomes increasingly data-driven, organizations across industries are relying more and more on machine learning algorithms to extract insights from their data. However, one major challenge that often arises in this process is the presence of imbalanced data. Imbalanced data refers to datasets in which the number of instances in one class …
The Power of Automated Machine Learning in Handling Imbalanced Data Read More »
Introduction Machine learning has been a hot topic in recent years and for good reason. It has the potential to revolutionize many industries, from finance and healthcare to marketing and retail. However, traditional machine learning algorithms have limitations that prevent them from being applied in real-world scenarios. One such limitation is batch learning, where models …
Overcoming the Limitations of Batch Learning with Online Real-Time Recurrent Learning Read More »
Regression analysis is a widely used statistical tool for predicting a continuous dependent variable based on one or more independent variables. However, traditional regression methods, such as linear and polynomial regression, can be sensitive to outliers and make incorrect predictions if the assumptions of normality and homoscedasticity are violated. To address these limitations, researchers have …
From Outliers to Inliers: Robust Non-Parametric Regression with Median-of-Means Read More »
