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Bayard Kohlhepp
Nexus Technologies Inc
Fletcher, North Carolina
 

Bayard Kohlhepp received a BS degree in computer science from Millersville University, Millersville, PA, in 1981. He spent the next 20-plus years designing software, managing project teams, teaching Unix and C programming, and running data centers. Most of his time was spent creating distributed real-time embedded (DRE) systems. He culminated his "geek" career as VP of R&D for a point-of-sale hardware manufacturer, and then traded science for art to pursue new creative paths.

Bayard now resides in the Blue Ridge Mountains of North Carolina where he works as a professional photographer, music producer, video editor, and high school math and science teacher.

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Read our Q&A with Bayard Kohlhepp here.


     

A novel stock recommendation system using Guba sentiment analysis
Sun Y., Fang M., Wang X.  Personal and Ubiquitous Computing 22(3): 575-587, 2018. Type: Article

It’s pretty obvious that if you know what investors are thinking, you can predict what stocks they’ll buy and sell. Stock scams have operated for years on the complement of this thought, that is, attempt to change investors’ opin...

 

 Deep learning for computer vision with Python
Rosebrock A., PyImageSearch.com, 2018.Type: Book

Internet resources for learning artificial intelligence (AI), especially regarding the subtopic of machine learning (ML), are expanding rapidly. Two resources, presented as online books, are the subject of this review. Both resources overlap in co...

 

Advances in computers: volume 108
Memon A.,  Academic Press, Inc., Cambridge, MA, 2018. 364 pp. Type: Book (978-0-128151-19-8)

The Advances in Computers series started in 1960 [1]. Each year, several volumes are printed; each volume contains four to seven chapters, with each chapter written by leading researchers who summarize the state of the art in their specific...

 

Chatbots and the new world of HCI
Følstad A., Brandtzæg P.  interactions 24(4): 38-42, 2017. Type: Article

Most research literature falls into two camps: original research findings or surveys. This article fits neither profile, and is instead a puff piece more suitable to People magazine than ACM interactions....

 

Data science: a comprehensive overview
Cao L.  ACM Computing Surveys 50(3): 1-42, 2017. Type: Article, Reviews: (2 of 2)

I’ve been reviewing computing literature for almost two decades, have submitted over 100 reviews, and the survey format used by this paper is very common. However, at 42 pages, this is the largest survey I ever remember reading. Given how mu...

 
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