Stephen Donald Huff has 4 audiobooks on Listento.it, narrated by 2 narrators. The most-rated is Graph Models for Deep Learning: An Executive Review of Hot Technology.
Supervised Learning with Linear Regression
Summary
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. To reduce space and improve clarity, this code targets a basic Keras environment - this inclusion is not meant as an endorsement of one system over another (all provide benefits); instead, at the time of this writing, Keras simply offers a popular, facile ‘front end’ for managing TensorFlow, Microsoft Cognitive Toolkit, and Theano deep learning systems, all using this popular script.
©2018 Stephen Donald Huff (P)2019 Stephen Donald Huff
Terminus II (Control)
Summary
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 – with the dull patience of penitent felons facing inevitable gallows. Enter Deacon, an exotically handsome desert scavenger and harbinger of bloody doom. Like a sable crow alighting atop a decayed carcass, this rover appears in the Village during late fall with strange tales of enslaved children, alien invasions, and disturbing rumors of new aberrations now freshly emerging from the California desert. Though he resists Deacon’s enticement, the Scientist cannot bear to separate from the Girl, who has righteously determined to accompany this empathetic newcomer on his suicidal journey to the vast saltpan of Badwater Basin. During their struggle to survive this latest attempt at redeeming human civilization, these hapless human beings will uncover many unsettling truths about the past, present and future of their species. Most startling of all, they will discover why their thoughts are not their own when influenced by the piper’s song of yet another broadcast Terminus Signal.
©2018 Stephen Donald Huff (P)2020 Stephen Donald Huff
Terminus
Summary
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. In the aftermath, a handful of guilt-wracked holdouts stumble onto a terrible secret. They discover the cause of the catastrophe, but the answers they find only beg further questions. Resolving this last great mystery soon becomes a matter of life and death, and the fate of humanity hangs in the balance. To learn the final truth and save their species, they must cross a blood-soaked wasteland, where they confront and overcome hordes of crazed lunatics and ravenous chimeras to investigate the long-standing enigma we call “Area 51”. Post-apocalyptic revenge is sweet!
©2016 Stephen Donald Huff (P)2019 Stephen Donald Huff
Graph Models for Deep Learning: An Executive Review of Hot Technology
Summary
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. Additionally, the student should acquire improved general understanding of graph models as deep learning concepts with specific focus on state-of-the-art awareness of deep learning applications within the fields of character recognition, natural language processing, and computer vision. Optionally, the provided code base will inform the interested student regarding basic implementation of these models in Keras using Python (targeting TensorFlow, Theano, or Microsoft Cognitive Toolkit). As an "executive review", this audiobook presents a distillation of essential information without the clutter of formulae, charts, graphs, references, and footnotes. Thus, the student will not have a "textbook" experience (or expense) while reviewing its contents. Instead, the student will quickly pass through a surprising wealth of actionable, easily-digestible technological information without the distraction of extemporaneous considerations.
©2018 Stephen Donald Huff (P)2019 Stephen Donald Huff