Machine Learning – Stanford University | Coursera

About this course: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.

Python Extension Packages for Windows – Christoph Gohlke

This page provides 32- and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language.

Content Aware Scaling | Explanatory video

Adobe Photoshop has included Content Aware Scaling as a tool since the release of Photoshop CS4 on October 15th, 2008. The main principle of content aware scaling is applying an algorthm to an image to detect paths of least importance. This paths can be deleted or added to change the image size without changing the important parts.

On August 21st, 2007, youtuber and businessman Siim Teller uploaded a demo video offering a step-by-step instruction of the process

Curated from Image resize – YouTube

Women’s Mental Health After Having or Being Denied an Abortion

In this study, compared with having an abortion, being denied an abortion may be associated with greater risk of initially experiencing adverse psychological outcomes. Psychological well-being improved over time so that both groups of women eventually converged. These findings do not support policies that restrict women’s access to abortion on the basis that abortion harms women’s mental health.

Cross-correlation of bio-signals using continuous wavelet transform and genetic algorithm. – PubMed – NCBI

We have used genetic algorithm with a fitness function based on signals convolution to find time delay between investigated signals. Two methods of cross-correlation are proposed: one that finds single delay for analyzed signals, and one returns a vector of delay values for each of wavelet transform sub-band center frequencies. Algorithms were implemented using MATLAB.

I’ve changed my surname from Sukiennik to Sobecki in September, 2015.