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Overfitting makes linear regression and logistic regression perform poorly. A technique called "regularization" aims to fix the problem for good. written on September 02, 2018
Preparing the logistic regression algorithm for the actual implementation. written on October 29, 2017
Get your feet wet with another fundamental machine learning algorithm for binary classification. written on July 17, 2017
What happens when you blindly trade with a very dumb script in the year range 2000-2015. written on June 08, 2016
Finding the best-fitting straight line through points of a data set. written on April 01, 2016
What machine learning is about, types of learning and classification algorithms, introductory examples. written on March 12, 2016
The probability that a random variable X will be found to have a value less than or equal to x. written on December 19, 2015
When the price of the EUR/USD cross is more volatile? written on December 11, 2015
Experiments on the fundamental theorem that explains why many distributions tend to be close to the normal distribution. written on November 28, 2015
The most famous kind of distribution and its relationship with the real world. written on November 06, 2015
An overview of basic probability concepts, histograms, discrete/continuous variables. written on October 16, 2015
How do they work, the differences between discrete and continuous ones, how to use them in probability. written on September 26, 2015
Measuring the variability! written on August 30, 2015
Or the variability from an average value. written on August 21, 2015
How do those relate to each other? written on August 21, 2015
Basic tools to split and analyze data sets. written on August 06, 2015
Basic statistical concepts. written on July 31, 2015