They make learning languages and vocabulary so full of joy and life, you will laught out loud!! 300,000 Courses and 285,000,000 words learned. Features include: a) Learn any Language – They have high quality courses in more than 200 languages; b) iOS and Android – Learn on your terms anytime and anywhere; c) Adaptive Learning Tech – Memrise uses clever science to adapt to your personal learning style and performance. So you learn fast and never forget; d) Learn Anything – Create your own courses of rich, multimedia flashcards; e) Compete with Your Friends – Learning’s even better when you are beating your friends; and f) Teachers Love Memrise – Create materials and Manage Your Groups. This will be added to Tutorial Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™.
They invite you to explore the world’s largest archive of wildlife sounds and videos. Their mission: To collect, preserve, and facilitate the use of wildlife recordings for science, education, conservation, and the arts. This will be added to the tools section of Research Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to Reference Resources Subject Tracer™.
This program will be featuring my white paper Grant Resources 2016. We will be highlighting the latest and greatest resources and sources for grant resources on the Internet covering search engines, subject directories, articles, guides and tracers….literally everything for GRANT RESOURCES!!!! We will also discussing my latest freely available Awareness Watch Newsletter V14N2 February 2016 featuring Biological Informatics 2016 and my freely available February 2016 Zillman Column high lighting Bot and Intelligent Agent Research Resources 2016. 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 EST on Saturday, February 27, 2016 and then archived for easy review and access. Listen, Call and Enjoy!!
The Internet of Things enables great applications, such as energy-aware homes or real-time asset tracking. With these networks gaining maturity, standardization bodies have started to work on standardizing how these networks of tiny devices communicate. The goal of the OpenWSN project is to provide open-source implementations of a complete protocol stack based on Internet of Things standards, on a variety of software and hardware platforms. This implementation can then help academia and industry verify the applicability of these standards to the Internet of Things, for those networks to become truly ubiquitous. Their OpenWSN effort at UC Berkeley is one of many open source hardware and software projects for wireless sensor networks. This will be added to Internet of Things Resources white paper.
SPMF is an open-source data mining mining library written in Java, specialized in pattern mining. It is distributed under the GPL v3 license. It offers implementations of 112 data mining algorithms for: a) association rule mining; b) itemset mining; c) sequential pattern mining; d) sequential rule mining; e) sequence prediction; f) high-utility pattern mining; and g) clustering and classification. The source code of each algorithm can be integrated in other Java software. Moreover, SPMF can be used as a standalone program with a simple user interface or from the command line. The current version is v0.98 and was released the 14th January 2016. This will be added to Data Mining Resources Subject Tracer™.
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. Yes, it is possible to apply Weka to big data! Data Mining with Weka is a 5 week MOOC, which was held first in late 2013. Check out the MOOC site for video lectures and details on how to enrol into this course and a new, advanced Weka course. This will be added to Data Mining Resources Subject Tracer™. This will be added to Statistics Resources and Big Data Subject Tracer™.
DataMelt is a free mathematics software for scientists, engineers and students. It can be used for numeric computation, statistics, symbolic calculations, data analysis and data visualization. DataMelt, or DMelt, is a software for numeric computation, statistics, analysis of large data volumes (“big data”) and scientific visualization. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets. DMelt is a computational platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited by a single programming language. DMelt can be used with several scripting languages, such as Python/Jython, BeanShell, Groovy, Ruby, as well as with Java. Most comprehensive software. It includes more than 30,000 Java classes for computation and visualization. In addition, more than 4000 classes come with Java API, plus 500 Python modules. Not to mention modules of Groovy and Ruby. All libraries are accessed using dynamic scripting. DMelt creates high-quality vector-graphics images (SVG, EPS, PDF etc.) that can be included in LaTeX and other text-processing systems. DataMelt can be used with several scripting languages for the JAVA platform: Jython (Python programming language), Groovy, JRuby (Ruby programming language) and BeanShell. All scripting languages use common DMelt JAVA API. Data analyses and statistical computations can be done in JAVA. Finally, symbolic calculations can be done using Matlab/Octave high-level interpreted language integrated with JAVA. DataMelt runs on Windows, Linux, Mac and Android operating systems. The Android application is called AWork. Thus the software represents the ultimate analysis framework which can be used on any hardware, such as desktops, laptops, netbooks, production servers and android tablets. DataMelt is a portable application. No installation is needed: simply download and unzip the package, and you are ready to run it. One can run it from a hard drive, from a USB flash drive or from any media. DataMelt exists as an open-source portable application, and as JAVA libraries under a commercial friendly license. This will be added to Data Mining Resources Subject Tracer™. This will be added to Statistics Resources and Big Data Subject Tracer™.
KEEL (Knowledge Extraction based on Evolutionary Learning) is an open source (GPLv3) Java software tool that can be used for a large number of different knowledge data discovery tasks. KEEL provides a simple GUI based on data flow to design experiments with different datasets and computational intelligence algorithms (paying special attention to evolutionary algorithms) in order to assess the behavior of the algorithms. It contains a wide variety of classical knowledge extraction algorithms, preprocessing techniques (training set selection, feature selection, discretization, imputation methods for missing values, among others), computational intelligence based learning algorithms, hybrid models, statistical methodologies for contrasting experiments and so forth. It allows to perform a complete analysis of new computational intelligence proposals in comparison to existing ones. Moreover, KEEL has been designed with a two-fold goal: research and educational. This will be added to Knowledge Discovery Subject Tracer™. This will be added to Data mining Resources Subject Tracer™.
Know the performance of every project, profitability of every client, and utilization of every resource — so you can replicate what works. Mavenlink gives your team a cloud-based solution for managing the entire project delivery lifecycle. Complete projects, track time, plan resources, and monitor financial performance — all in a single, user-friendly application. Seamlessly integrate Mavenlink with the tools your team uses to synchronize business information and reduce manual data entry. Bi-directional integrations with your CRM, accounting, and development tools let everyone see up-to-date status and work more efficiently. This will be added to Entrepreneurial Resources Subject Tracer™.