In this article, I will take you through an explanation and implementation of all Machine Learning algorithms with Python programming language.
Machine learning algorithms are a set of instructions for a computer on how to interact with, manipulate, and transform data. There are so many types of machine learning algorithms. Selecting the right algorithm is both science and art.
There are dozens of packages for NLP out there… but you’ll cover all the important bases once you master a handful of them. This is an opinionated guide that features the 5 Python NLP libraries we’ve found to be the most useful.
How JWZ built the payphone at the DNA Lounge.
A (very) brief overview of quantum mechanics and how elementary quantum computing works at a very low level of complexity.
An overview of the OpenRISC architecture and how to get started using it. Briefly talks about synthesizing an FPGA bitstream, setting up a development environment, and either emulating it or running it inside an FPGA. Also covers cross compiling an OS for it.
A page that teaches you just enough Ruby to let you use Chef.
A book in a github repo that explains benefits, stocks, and compensation from companies and corporations to geeks and hackers. I have this checked out on Windbringer. I should add this to the GoZ wiki.
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