We found 22 results that contain "performance"

Posted on: #iteachmsu
user pic
Posted by over 4 years ago
Data Science is a process of extracting, manipulating, visualizing, maintaining data as well as generating predictions.
A Data Scientist is supposed to have knowledge of various data operations as well as machine learning algorithms. Using Data Science, industries are able to extract insights and forecast their performance.

Posted on: #iteachmsu
user pic
Posted by almost 2 years ago
post image
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.

Posted on: #iteachmsu
user pic
Posted by almost 2 years ago
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.

Posted on: #iteachmsu
user pic
Posted by over 4 years ago
Strategic management can also be defined as a bundle of decisions and acts which a manager undertakes and which decides the result of the firm’s performance. The manager must have a thorough knowledge and analysis of the general and competitive organizational environment so as to take right decisions. They should conduct a SWOT Analysis (Strengths, Weaknesses, Opportunities, and Threats), i.e., they should make best possible utilization of strengths, minimize the organizational weaknesses, w500+make use of arising opportunities from the business environment and shouldn’t ignore the threats.

Posted on: #iteachmsu
user pic
Posted by over 4 years ago
post image
powered online examination systemsAlong with providing some very useful features for the online examinations, AI based systems can provide useful insights of the student performance, group analysis and individual analysis for each topic / sub topic

Posted on: #iteachmsu
user pic
Posted by over 4 years ago
Personalized assessments can be created for the students using AI powered online examination systems. Along with providing some very useful features for the online examinations, AI based systems can provide useful insights of the student performance, group analysis and individual analysis for each topic / sub topic.
Committee_Member_List_ENG__1_.pdf

Posted on: #iteachmsu
user pic
Posted by over 4 years ago
Strategic Management is all about the identification and description of the strategies that managers can carry so as to achieve better performance and a competitive advantage for their organization.

Posted on: #iteachmsu
user pic
Posted by over 4 years ago
Students usually are identified only after consistently demonstrating a failure to understand or follow rules or to complete required tasks.
Other common reasons for referral include frequent classroom disruptions and poor academic performance.
Studies found that students with ADHD, compared to students without ADHD, had persistent academic difficulties that resulted in the following: lower average marks, more failed grades, more expulsions, increased dropout rates, and a lower rate of college undergraduate completion (Weiss & Hechtman as cited in Johnston, 2002; Ingersoll, 1988).
Survey_results_XLSX_10.xlsx