Machine Learning
Version 2.1
Shareware
$399.00
0 downloads
1.Main idea of NeoNeuro Machine Learning is
universality.
2.Universality is when everything works over ONE
button. Copy data into spreadsheet and press
Calculate thats all!
3.By default Machine Learning opens the example where
PC learns elementary math operations. We recommend to
teach computer from scratch to add and divide in order
to understand how the programs works.
4.Press ChessBoard and teach the Machine Learning to
play chess moves. You will see how computer makes
mistakes in the beginning and how it gradually learns
to move correctly. Artificial intelligence of NeoNeuro
Machine Learning is like a human one in this aspect.
5.Humanity of application can also be seen in work
with statistical databases. Unlike classical data
mining and machine learning programs, NeoNeuro Machine
Learning can answer I dont know or give optional
answers, exactly like a human expert.
6.Universality of Machine Learning is
a.Unified method of work with any data: statistical
databases, learning arithmetic, solving geometry
problems like teaching chess moves or robot movements.
b.Easy method to add data. Just copy them from a
spreadsheet or from HTML page and paste into NeoNeuro
Machine Learning. Application will automatically
understand parameters types, which can be also set by
hand.
c.Input data for test is the same as for learning,
here you can also use copy and paste operations.
d.Machine Learning gives detailed and clear report.
For statistical data 10% of learning data is not used
for learning, it is used for test. In report you will
see confusion matrix and pie diagram of answers
distribution.
7.Settings. By default Machine Learning is designed in
a way where you can comfortable work with any data
without settings. In addition it is possible to change:
a.Attributes types
b.Dimensions of attributes. For instance, salary and
monthly credit fee both have Money dimension, while
age and number of years to pay credit have Time
dimension.
universality.
2.Universality is when everything works over ONE
button. Copy data into spreadsheet and press
Calculate thats all!
3.By default Machine Learning opens the example where
PC learns elementary math operations. We recommend to
teach computer from scratch to add and divide in order
to understand how the programs works.
4.Press ChessBoard and teach the Machine Learning to
play chess moves. You will see how computer makes
mistakes in the beginning and how it gradually learns
to move correctly. Artificial intelligence of NeoNeuro
Machine Learning is like a human one in this aspect.
5.Humanity of application can also be seen in work
with statistical databases. Unlike classical data
mining and machine learning programs, NeoNeuro Machine
Learning can answer I dont know or give optional
answers, exactly like a human expert.
6.Universality of Machine Learning is
a.Unified method of work with any data: statistical
databases, learning arithmetic, solving geometry
problems like teaching chess moves or robot movements.
b.Easy method to add data. Just copy them from a
spreadsheet or from HTML page and paste into NeoNeuro
Machine Learning. Application will automatically
understand parameters types, which can be also set by
hand.
c.Input data for test is the same as for learning,
here you can also use copy and paste operations.
d.Machine Learning gives detailed and clear report.
For statistical data 10% of learning data is not used
for learning, it is used for test. In report you will
see confusion matrix and pie diagram of answers
distribution.
7.Settings. By default Machine Learning is designed in
a way where you can comfortable work with any data
without settings. In addition it is possible to change:
a.Attributes types
b.Dimensions of attributes. For instance, salary and
monthly credit fee both have Money dimension, while
age and number of years to pay credit have Time
dimension.
Program details
Publisher
Evgeny ChuzhakinE-mail
Contact the publisherPlatforms
Win7 x32<br>Win7 x64<br>WinServer<br>Windows XP<br>Windows 2000<br>WinVista<br>WinVista x64<br>WinOtherFile size
3331 KBFile date
12/14/2015License
SharewareInstallation
No InstallRecord updated
1/18/2016