Machine Learning

GAN vs VAE: Differences, Similarities, Examples

Are you curious about how machines not only learn from data but actually create it? Have you ever found yourself…

1 year ago

Mean Average Precision (MAP) for Information Retrieval Systems

Information retrieval systems including the ones related to semantic search aim to fetch the most relevant documents from a collection…

1 year ago

Generative Adversarial Network (GAN): Concepts, Examples

In this post, you will learn concepts &  examples of generative adversarial network (GAN). The idea is to put together…

1 year ago

K-Means Clustering Concepts & Python Example

Clustering is a popular unsupervised machine learning technique used in data analysis to group similar data points together. The K-Means…

1 year ago

Data Science & Big Data Career Paths

Navigating the world of data science can be as complex as the data sets that these professionals work with. As…

1 year ago

Dynamic Pricing & Machine Learning: Strategies, Examples

Are you a product manager looking to maximize profits and improve product performance, or a data scientist eager to leverage…

1 year ago

Machine Learning Use Cases in Finance: Concepts & Examples

What if we can build solutions that could predict financial market trends, assess credit risk with unerring precision, detect fraudulent…

1 year ago

Weighted Regression Model Python Examples

Have you ever wondered how regression models can be enhanced to provide more accurate predictions, even in the presence of…

1 year ago

Heteroskedasticity in Regression Models: Examples

Have you ever encountered data that exhibits varying patterns of dispersion and wondered how it might impact your regression models?…

1 year ago

Underwriting & Machine Learning Models Examples

Are you curious about how AI / machine learning is revolutionizing the underwriting process? Have you ever wondered how machine…

1 year ago