Posts by Category: Bot and Intelligent Agent Resources

Updated> Bots, Blogs and News Aggregators 2020

June 25, 2020

Updated> Bots, Blogs and News Aggregators 2020
http://www.BotsBlogs.com/

Research white paper link dataset compilation Bots, Blogs and News Aggregators 2020 is now a 18 page research paper listing many resources both new and existing that will help anyone who is attempting to find information and knowledge research about bots, blogs and news aggregator tools currently available on the Internet. It is freely available as a .pdf file (1508kb) at the above link from the Virtual Private Library™ and authored by Marcus P. Zillman, M.S., A.M.H.A. . It was completely updated and all links validated on June 25, 2020. Other white papers are available by clicking here.

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Updated> Bot and Intelligent Agent Research Resources 2020

June 15, 2020

Updated> Bot and Intelligent Agent Research Resources 2020
http://www.BotResearch.info/

The above is the associated white paper link dataset compilation of the Bot Research Subject Tracer™ Information Blog by Marcus P. Zillman, M.S., A.M.H.A. It is a 24 page .pdf document 681KB. [All Links Validated and New Links added on June 16, 2020] Other white papers are available by clicking here.

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CloudFilt – Prevent Bots, Block Bots, Anti-Bots, Bot Protection and Tor Protection

June 15, 2020

CloudFilt – Prevent Bots, Block Bots, Anti-Bots, Bot Protection and Tor Protection
https://cloudfilt.com/

Prevent Bots, Block Bots, Anti-Bots, Bot Protection and Tor including a) Full protection of your websites, webapps and APIs; b) Prevent, block & stop bad bots; c) Bot traffic; d) Web Scraping; e) Tor traffic; f) Spam Submissions; g) Web Fraud; h) Business logic; and i) Denial of service (DDoS). This will be added to Bot Reserach Subect Tracer™ Information Blog. This will be added to WorldWide Web Reference Subject Tracer™. This will be added to Social Informatics Subject Tracer&trade. This will be added to Education and Academic Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Artificial Intelligence Resources 2020

April 11, 2020

Artificial Intelligence Resources 2020 White Paper Link Dataset Compilation
http://www.AIResources.info/

The white paper link dataset compilation of the Artificial Intelligence Resources 2020 Subject Tracer™ Information Blog by Marcus P. Zillman, M.S., A.M.H.A. is a freely available 34 page .pdf document (782KB) listing the latest and greatest online resources and sites for artificial intelligence! Completely updated including all links validated and new URLs added on April 10, 2020. Other white papers are available by clicking here.

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Bot and Intelligent Agent Research Resources 2020

January 13, 2020

Bot and Intelligent Agent Research Resources 2020
http://www.BotResearch.info/

The above is the associated white paper link dataset compilation of the Bot Research Subject Tracer™ Information Blog by Marcus P. Zillman, M.S., A.M.H.A. It is a 24 page .pdf document 679KB. [All Links Validated and New Links added on January 13, 2020] Other white papers are available by clicking here.

 

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Bots, Blogs and News Aggregators 2020

August 27, 2019

Bots, Blogs and News Aggregators 2020
http://www.BotsBlogs.com/

Research white paper link dataset compilation Bots, Blogs and News Aggregators 2020 is now a 18 page research paper listing many resources both new and existing that will help anyone who is attempting to find information and knowledge research about bots, blogs and news aggregator tools currently available on the Internet. It is freely available as a .pdf file (1515kb) at the above link from the Virtual Private Library™ and authored by Marcus P. Zillman, M.S., A.M.H.A. . It was completely updated and all links validated on September 1, 2019. Other white papers are available by clicking here.

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Linear Regression

August 16, 2019

Linear Regression
https://dimensionless.in/top-10-machine-learning-algorithms/

Regression is a method used to predict numerical numbers. Regression is a statistical measure which tries to determine the power of the relation between the label-related characteristics of a single variable and other factors called autonomous (periodic attributes) variable. Regression is a statistical measure. Just as the classification is used for categorical label prediction, regression is used for ongoing value prediction. For example, we might like to anticipate the salary or potential sales of a new product based on the prices of graduates with 5-year work experience. Regression is often used to determine how the cost of an item is affected by specific variables such as product cost, interest rates, specific industries or sectors. The linear regression tries by a linear equation to model the connection between a scalar variable and one or more explaining factors. For instance, using a linear regression model, one might want to connect the weights of people to their heights. The driver calculates a linear pattern of regression. It utilizes the model selection criterion Akaike. A test of the comparative value of fitness to statistics is the Akaike information criterion. It is based on the notion of entropy, which actually provides a comparative metric of data wasted when a specified template is used to portray the truth. The compromise between bias and variance in model building or between the precision and complexity of the model can be described. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Algorithm Watch

August 10, 2019

Algorithm Watch
https://algorithmwatch.org/

AlgorithmWatch is a non-profit research and advocacy organisation to evaluate and shed light on algorithmic decision making processes that have a social relevance, meaning they are used either to predict or prescribe human action or to make decisions automatically. The more technology develops, the more complex it becomes. AlgorithmWatch believes that complexity must not mean incomprehensibility (read our ADM manifesto). AlgorithmWatch is a non-profit research and advocacy organisation to evaluate and shed light on algorithmic decision making processes that have a social relevance, meaning they are used either to predict or prescribe human action or to make decisions automatically. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Awareness Watch Talk Show for Wednesday July 17, 2019 at 2:00pm EDT – Virtual Private Library’s Freely Available White Papers

July 17, 2019

Awareness Watch Talk Show for Wednesday July 17, 2019 at 2:00pm EDT – Virtual Private Library’s Freely Available White Papers
http://www.blogtalkradio.com/AwarenessWatch/

This program will be featuring my recently updated white papers freely available titled Virtual Private Library White Papers 2019. We will be highlighting the latest and greatest resources and sources covering the white papers from the Virtual Private Libraries including search engines resources, tools, sources, subject directories, articles, guides and tracers….literally everything on the Internet covering the VPL’S WHITE PAPERS!! We will also be discussing my latest freely available Awareness Watch Newsletter V17N7 July 2019 featuring 2019 Guide To Searching the Internet as well as my freely available July 2019 Zillman Columns highlighting Genealogy Resources 2019. You may call in to ask your questions at (718)508-9839. The show is live and thirty minutes in length starting at 2:00pm EDT on Wednesday, July 17, 2019 and then archived for easy review and access. Listen, Call and Enjoy….

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Updated> Deep Web Research and Discovery Resources 2019

May 01, 2019

Updated> Deep Web Research and Discovery Resources 2019
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation and now titled Deep Web Research and Discovery Resources 2019 and it is now a 65 page 797KB PDF document freely available directly from the above URL. This update verified all links as well as reviewed all resources covered including adding additional links. Currently this has been downloaded over 7,000,000+ times!

May 1, 2019

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

© 2019 Marcus P. Zillman, M.S., A.M.H.A.

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