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Entrepreneurial Resources 2018

Entrepreneurial Resources (EntrepreneurialResources.info) is a Subject Tracer™ Information Blog developed and created by the Virtual Private Library™. It is designed to monitor entrepreneurial resources on the World Wide Web.

Featured White Paper

Web Guide for the New Economy 2018:

Web Guide for the New Economy 2018 Download the Web Guide for the New Economy The Web Guide for the…

Recent Blog Posts

Happy 4th of July 2018

July 04, 2018

I wish all my associates, clients and readers a very very Happy 4th of July Holiday 2018!! Normal blogging will return tomorrow July 5th in the very early AM!

 

 

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Custom Search Engines 2018 by Marcus P. Zillman

July 04, 2018

Custom Search Engines 2018 by Marcus P. Zillman
http://www.zillman.us/marcus-services/custom-search-engines/

Custom Search Engines 2018 by Marcus P. Zillman, M.S., A.M.H.A. gives a complete listing of custom active search engines created by Marcus P. Zillman and is constantly adding new and topical search engines. This can also be accessed through Zillman’s website by clicking here.

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Open Educational Resources (OER) Sources 2018

July 03, 2018

Open Educational Resources (OER) Sources 2018
http://www.OERSources.com/

“Open educational resources (OER) are freely accessible, openly licensed text, media, and other digital assets that are useful for teaching, learning, and assessing as well as for research purposes.” [Wikipedia] Costs continue to rise for students who are pursing college and post graduate degree programs. By leveraging best practice sites, services and non-traditional options to expand knowledge, skills and abilities in many disciplines, students can choose from a wide range of options to complete their respective goals. This guide, Open Educational Resources (OER) Sources 2018, is a comprehensive listing of useful open educational resources, sources and sites on the Internet that can assist you in optimizing your learning opportunities. This will be added to OERSearchEngine.com. This will be added to Education and Academic Resources Subject Tracer™. This will be added to Student Research Resources 2018 Subject Tracer™. Updated with all links validated and new links added on July 5, 2018 [23pages, 227KB PDF].

Open Educational Resources (OER) Search Engine 2018 by Marcus P. Zillman, M.S., A.M.H.A. by clicking here.

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DAOstack – Toolskit for Exponential Organizations

July 03, 2018

DAOstack – Toolskit for Exponential Organizations
https://daostack.io/

DAOstack powers decentralized companies, funds and markets to make fast and innovative decisions at scale. Features include: a) Blockchain governance – Decentralized governance based on Ethereum smart contracts enables faultless execution of crowd decisions; b) Programmatic cooperation – Crypto-economic incentive design at the individual level empowers frictionless cooperation at the collective level; and c) Holographic consensus – Effective decision-making is possible with edge decisions guaranteed to be coherent with the will of the greater majority. This will be added to DAO Resources Subject Tracer™. 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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Free Teacher Worksheets

July 03, 2018

Free Teacher Worksheets
http://www.easyteacherworksheets.com/

EasyTeacherWorksheets.com is a super helpful free resource website for teachers, parents, tutors, students, and homeschoolers. They have a HUGE library of printable worksheets for a many different class topics and grade levels. The teacher worksheets you will find on their web site are for Preschool through High School students. They focus a great deal of their material on the elementary and middle school grades. You will find a wide range of topics covered by their web site. Teachers and Homeschoolers can save tons of time using their website to help their students master certain subjects or specific skills. In their math worksheets section in addition to your standard worksheets, you will find lessons, quizzes, and full answer keys too. Their website is an educator’s dream come true because they have a deep volume of exercises for all types of content areas. Thery add new worksheets on a weekly basis. If there is a topic you would like to see added in the future, please let them know and they will have their writers work on that topic. Be sure to follow their Pinterest page to be updated each and every time we add new material. Parents can really benefit by using their math worksheets and reading comprehension worksheets with their children for extra practice. They would recommend viewing their site on a weekly basis and assigning 2-3 extra assignments to your children. With just a single hour of extra practice each week, students should see very positive growth. This will be added to Student Research Resources Subject Tracer™. This will be added to Education and Academic Resources Subject Tracer™.

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Updated> Deep Web Research and Discovery Resources 2018

July 02, 2018

Updated> Deep Web Research and Discovery Resources 2018
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation and now titled Deep Web Research and Discovery Resources 2018 and it is now a 58 page 402KB PDF document 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 6,000,000+ times!

July 1, 2018

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

©2018 Marcus P. Zillman, M.S., A.M.H.A.

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Updated> Student Research Resources 2018

July 02, 2018

Updated> Student Research Resources 2018
http://www.StudentResearch.info/

The above is the associated white paper link dataset compilation for Student Research Resources 2018 Subject Tracer™ by Marcus P. Zillman, M.S., A.M.H.A. . It is a freely available 40 page .pdf (323KB)) document covering all areas for student research available over the Internet! [Updated with all links verified and new links added on July 1, 2018] Other white papers are available by clicking here.

This research is powered by Subject Tracer Bots™ from the Virtual Private Library™. Isn't yours?

54 views

DL4J Deep Learning for Java – Open-Source Distributed Deep Learning Library for JVM

July 02, 2018

DL4J Deep Learning for Java – Open-Source Distributed Deep Learning Library for JVM
https://deeplearning4j.org/

Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. Skymind is its commercial support arm, bundling Deeplearning4j and other libraries such as Tensorflow and Keras in the Skymind Intelligence Layer (Community Edition), a deep learning environment that gives developers an easy, fast way to train and deploy AI models. SKIL CE is free and downloadable here. SKIL acts as a bridge between Python data science environments and the JVM. Deeplearning4j aims to be cutting-edge plug and play, more convention than configuration, which allows for fast prototyping for data scientists, machine-learning practitioners and software engineers. DL4J is customizable at scale. Released under the Apache 2.0 license, all derivatives of DL4J belong to their authors. DL4J can import neural net models from most major frameworks via Keras, including TensorFlow, Caffe and Theano, bridging the gap between the Python ecosystem and the JVM with a cross-team toolkit for data scientists, data engineers and DevOps. Keras is Deeplearning4j’s Python API. Skymind is the second-largest contributor to Keras after Google, and offers commercial support for Keras. Machine learning models are served in production with Skymind’s machine learning server. 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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Updated> Academic and Scholar Search Engines and Sources

July 02, 2018

Updated> Academic and Scholar Search Engines and Sources
http://www.ScholarSearchEngines.com/

Internet Annotated Link Dataset Compilation titled “Academic and Scholar Search Engines and Sources” is now a 82 page research paper listing selected resources both new and existing that will help anyone who is attempting to find academic and scholarly information and knowledge available on the Internet. Each source is described along with the URL address than can be accessed. It is freely available as a .pdf file (547KB) at the above link from the Virtual Private Library™ and authored by Marcus P. Zillman, M.S., A.M.H.A. [Updated with all links validated and new URLs added: July 1, 2018]. Other white papers are available by clicking here.

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

©2018 Marcus P. Zillman, M.S., A.M.H.A.

42 views

Caffe – Deep Learning Framework

July 02, 2018

Caffe – Deep Learning Framework
http://caffe.berkeleyvision.org/

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU*. That’s 1 ms/image for inference and 4 ms/image for learning and more recent library versions and hardware are faster still. We believe that Caffe is among the fastest convnet implementations available. Community: Caffe already powers academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia. Join our community of brewers on the caffe-users group and Github. 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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