Field of statistics in software engineering. The interdisciplinary field of statistics and software engineering specializing in the use of statistical methods for controlling and improving the quality and productivity of the practices used in creating software.
4. “
Statistics is the science that deals
with the collection, classification,
analysis, and interpretation of
numerical facts or data.
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5. Statistics in
Software Engineering
Artificial Intelligence
Recharge-based Software Development
Developing Financial Software
Cloud-based Server Application
Web & Mobile apps development
Data Mining
Neural Network
Algorithm Analysis
Machine Learning
Big Data Analytics
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The interdisciplinary field of statistics
and software engineering specializing
in the use of statistical methods for
controlling and improving the quality
and productivity of the practices used
in creating software.
Software Engineering Felds
8. Machine
Learning
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Machine learning is the field of computer science that
often uses statistical techniques to give computers the
ability to "learn" (i.e. progressively improve performance
on a specific task) with data, without being explicitly
programmed.
9. Big Data
Analytics
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Big Data Analytics is the process of examining large data
sets containing a variety of data types to uncover hidden
patterns, unknown correlations other useful information.
10. Web
development
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Web analytics is the measurement, collection, analysis
and reporting of web data for purposes of
understanding and optimizing web usage. It can be
used as a tool for business and market research, and to
assess and improve the effectiveness of a website.
12. Mobile Apps
development
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Consumers use mobile apps every day to connect with
friends, order food, send money, and play games. In
the mobile industry, what's driving mobile activity, how
has mobile advertising fared this year, and much more.
13. Data Mining
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Data mining is a process used by companies to analyze
raw data to learn market trend, customer preferences
and other information for benefit.
15. Algorithm
Analysis
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Algorithm analysis is an important part of computational
complexity theory, which provides theoretical estimation
for the required resources of an algorithm to solve a
specific computational problem.