In this article, we have looked at the mathematics behind the machine learning techniques linear regression, linear discriminant analysis, logistic regression, artificial neural networks, and support vector machines. For more details about the math behind machine learning, visit:Math for Machine Learning...
Behind all significant advances in technology, there is mathematics. The concepts of linear algebra, calculus, game theory, probability, statistics, advanced logistic regressions and gradient descent are all major underpinnings of data science.Math helps in understanding logical reasoning and attention to...
As important as it is to know the correct algorithm to do the work, it is equally important to conceptually understand the math behind the algorithm. We’ll look at some of the key mathematical concepts so that we can slowly recreate the engine and learn the mechanics of data science. ...
This series of tutorials is focused on classical machine learning (regression, classification, dimensional reduction, and so on). I will discuss the basics, the math behind models, and how to implement them. Introduction to medical image analysis Articlesnotebookdescription Introduction to medical imag...
These findings serve as useful baseline data to compare with student outcomes during and after the No Child Left Behind Act and will ultimately inform transition planning for secondary students with disabilities.doi:10.1177/1044207312468766Lombardi, A....
Lagging Behind Reality PD models rely on historical data, which takes time to "mature" for the target variable (e.g., 12 months in our case). This results in a lag between the probability calibration and the current risk levels. To minimize this lag, approaches are used that focus on ev...
The purpose of this repository is not to implement machine learning algorithms by using 3rd party library one-liners but rather to practice implementing these algorithms from scratch and get better understanding of the mathematics behind each algorithm. That's why all algorithms implementations are cal...
While access to primary education in the region is close to the national average, the quality of education is lagging behind. Of the students in the last year of primary school in the region, 97.1 percent do not reach sufficient levels in mathematics (PASEC, 2016). The gender gap is also...
Math Academy, LLC. is now officially registered and listed on UC's Directory of Online Publishers. Your home school may add our courses to their list through their UC course management portal so we are able to issue transcripts to you for official UC a-g credit. ...
the most severely underprepared FTIC students enrolled directly in Intermediate Algebra, while 43.0% of slightly underprepared FTIC students went directly into Intermediate Algebra. To further probe the relationship between preparation and enrollment choices, we turned to the multinomial logistic regression...