We found 13 results that contain "applications"

What is C++?
C++ is a cross-platform language that can be used to create high-performance applications.

C++ was developed by Bjarne Stroustrup, as an extension to the C language.

C++ gives programmers a high level of control over system resources and memory.

The language was updated 4 major times in 2011, 2014, 2017, and 2020 to C++11, C++14, C++17, C++20.

Artificial intelligence: Artificial intelligence includes computers that play chess and self-driving cars. Each of these machines must weigh the consequences of any action they take, as each action will impact the end result. In chess, the end result is winning the game. For self-driving cars: the computer system must account for all external data and compute it to act in a way that prevents a collision.

Artificial intelligence also has applications in the financial industry, where it is used to detect and flag activity in banking and finance such as unusual debit card usage and large account deposits—all of which help a bank's fraud department.

Android software development is the process by which applications are created for devices running the Android operating system. Google states that "Android apps can be written using Kotlin, Java, and C++ languages" using the Android software development kit (SDK), while using other languages is also possible.

To complete the application for this micro-credential, the rising educator will complete the Educators Rising Classroom Culture submission form. To earn the micro-credential, the rising educator must earn a score of "Passing",“Highly Skilled”, or “Commendable” on all components of the rubrics. If the rising educator does not earn the micro-credential, he/she is encouraged to reflect on where the submission fell short, address those areas successfully per the rubric, and resubmit. Remember to download the Educators Rising Classroom Culture submission form for compiling your submission here:
*http://bit.ly/EdRisingClassroomCulture

Big data is a collection of large datasets that cannot be processed using traditional computing techniques. Testing of these datasets involves various tools, techniques and frameworks to process. Big data relates to data creation, storage, retrieval and analysis that is remarkable in terms of volume, variety, and velocity. You can learn more about Big Data, Hadoop and Mapreduce here In this tutorial we will learn, Testing Big Data application is more a verification of its data processing rather than testing the individual features of the software product. When it comes to Big data testing, performance and functional testing are the key. In Big data testing QA engineers verify the successful processing of terabytes of data using commodity cluster and other supportive components. It demands a high level of testing skills as the processing is very fast. Processing may be of three types Along with this, data quality is also an important factor in big data testing. Before testing the application, it is necessary to check the quality of data and should be considered as a part of database testing. It involves checking various characteristics like conformity, accuracy, duplication, consistency, validity, data completeness, etc.

Some of the forms of verification usually include, but may not be limited to, the following:
Proof of education and additional training
State license
DEA license Board certification
Hospital affiliation
Provider enrollment application

Emphasize higher-order thinking:
The educator emphasizes questions that require higher-order thinking (analysis, evaluation, application, interpretation, and making connections) rather than surface-level questions that merely test recall. Though it is acceptable to include lower-order questions at the beginning of the lesson or at points when students need to establish meaning in the text, students should be spending most of their time thinking beyond the surface of the text.
PPTX

Information theory, closely related to probability and statistics, is related to the quantification of information. This was developed by Claude Shannon to find fundamental limits on signal processing operations such as compressing data and on reliably storing and communicating data. Coding theory is the study of the properties of codes (systems for converting information from one form to another) and their fitness for a specific application. odes are used for data compression and cryptography