This long article covers topics ranging from applied mathematics, statistics, probability, and algorithms, to computer sciences. Original, fun problems are discussed. Even thought you won't find them in textbooks or traditional data science courses, these problems do not require more than high school mathematics to explore solutions.

Content:

Simulations, percentiles and Bates distribution

• Problem
• Solution
• What you have learned…

This is a long article written by  Sebastian Raschka. Sebastian Raschka is the author of the bestselling book “Python Machine Learning.” As a Ph.D. candidate at Michigan State University, he is developing new computational methods in the field of computational biology. Sebastian has many years of experience with coding in Python and has given several seminars on the practical applications…

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How We Combined Different Methods to Create Advanced Time Series Prediction

Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where forecasting tools, powered by Data Science, come into play,…

Guest blog by Brando Rohrer. Brandon is an author and deep learning developer. He has worked as Principal Data Scientist at Microsoft, as well as for DuPont Pioneer and Sandia National Laboratories. Brandon earned a Ph.D. in Mechanical Engineering from the Massachusetts Institute of Technology.

Bayesian inference is a way to get sharper predictions from your data. It’s particularly useful when you don’t have as much data as you would like and want to juice every last…