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Machine learning is a hot topic in research and industry, with new methodologies developed all the time. The speed and complexity of the field makes keeping up with new techniques difficult even for experts — and potentially overwhelming for beginners.
To demystify machine learning and to offer a learning path for those who are new to the core…Continue
Added by Vincent Granville on August 30, 2019 at 11:08am — No Comments
I introduce here a family of very peculiar statistical distributions governed by two parameters: p, a real number in [0, 1], and b, an integer > 1.
Potential applications are found in cryptography, Fintech (stock market modeling), Bitcoin, number theory, random number…Continue
Added by Vincent Granville on August 30, 2019 at 10:11am — No Comments
Continued fractions are usually considered as a beautiful, curious mathematical topic, but with applications mostly theoretical and limited to math and number theory. Here we show how it can be used in applied business and economics contexts, leveraging the mathematical theory developed for continued fraction, to model and explain natural phenomena. …Continue
Added by Vincent Granville on August 30, 2019 at 9:42am — No Comments
In the data-driven enterprise system, Spark has become a popular name that is easy to use, offer speed and versatility. The data can be understood at fast speed allowing one to make faster decisions. The Big Data has a huge benefit with the faster data processing of Spark. This clustering of large datasets works with a framework in open source that helps in analyzing. The codes are done in the Scala that has made it possible and easier for data processing that gives a certain boost to the…Continue
Added by Divyesh Aegis on August 13, 2019 at 12:51am — No Comments
In my previous posts, I compared model evaluation techniques using Statistical Tools & Tests and commonly used Classification and Clustering evaluation techniques
In this post, I'll take a look at how you can compare regression models. Comparing regression models is perhaps one of the trickiest tasks to complete in the "comparing models" arena; The reason is that there are literally dozens of statistics you can calculate to compare regression models, including:
Added by Vincent Granville on August 8, 2019 at 10:37am — No Comments
A brief explanation is:
Added by Vincent Granville on August 8, 2019 at 10:29am — No Comments
Decision Trees, Random Forests and Boosting are among the top 16 data science and machine learning tools used by data scientists. The three methods are similar, with a significant amount of overlap. In a nutshell:
Added by Vincent Granville on August 8, 2019 at 10:25am — No Comments
Properly implemented Machine Learning (ML) models can have a positive effect on organizational efficiency. It is first necessary to understand how these models are created, how they function, and how they are put into production.
The Definition of a Machine Learning Model
When a computer is presented with questions within a particular domain, a machine learning model will run an algorithm that will enable it to resolve those questions. These algorithms are not…Continue