Showing results by author "Stephen Huff" in All Categories

This course provides a detailed executive-level review of contemporary topics in supervised machine learning theory with specific focus on predictive modeling and linear regression. The ideal student is a technology professional with a basic working knowledge of machine learning theory. Additionally, to better inform the interested student, the final lesson of this course presents samples in Python describing the essential implementation of described regression methods.

During the course of their apocalyptic odyssey, one such band of desperate survivors must overcome petty, pre-Terminus differences to form life-and-death bonds strong enough to withstand the actual end of their world.

During his service as an intern at the SETI Project, Simian Wynwood fatefully records “first contact” with an alien intelligence. Captured in high-fidelity analog format, this broadcast message contains vast stores of advanced, world-changing technology. Within months, this so-called SETI-Tech becomes widely available to the general populous, and disturbing events rapidly begin to unfold around the planet as an apparently benevolent alien influence slowly embraces and then seizes control of nearly every aspect of human civilization.

After the apocalyptic Terminus Signal induces worldwide slaughter, a death-weary band of survivors has followed the exotically handsome Deacon into a desert wasteland equally plagued by semi-organized clans of Terminal-case burnouts and bizarre alien chimeras. From Badwater Basin, sunken into the lowest badlands of North America to the high, frozen icecaps of Antarctica, this hardy troupe of survivors has come to raise hell and kick alien ass.

After the apocalyptic Terminus Signal induces worldwide slaughter, a death-weary band of survivors attempts to rebuild their ravaged civilization amid an alien wilderness that overflows with bizarre savagery. Although copious quantities of drugs and alcohol disappear inside the Village each night, these tormented holdouts struggle with unquiet consciences that are hopelessly infected by endless black thoughts. For, having survived the ultimate act of genocidal self-destruction, each one of them bear their memories and scars – and the guilt of countless wicked, homicidal crimes.

Civilization deconstructed itself like a riot in a madhouse. One minute it all functioned with a standard sort of craziness, and the next it devolved into ten billion psychotic inmates at each other’s throats like suddenly sprung animals. Survivors refer to civilization’s final irrational act as "Terminus", but this is an unofficial label. It simply gives them a handle with which to wield the concept of their end times. It bifurcates their memory. Before. After. In between, an unspeakable river of blood.

This course provides a detailed executive-level review of contemporary topics in graph modeling theory with specific focus on Deep Learning theoretical concepts and practical applications. The ideal student is a technology professional with a basic working knowledge of statistical methods. Upon completion of this review, the student should acquire improved ability to discriminate, differentiate, and conceptualize appropriate implementations of application-specific ("traditional" or "rule-based") methods versus deep learning methods of statistical analyses and data modeling.