Machine Learning 2.1

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Machine Learning 2.1

Company:	NeoNeuro
Country:	Russian Federation, Tulskaya, Plavsk
ASP member:	No
Company Web site:	http://neoneuro.com/en/data-mining
Site of program:	http://neoneuro.com/en/machine-learning
Application info:	http://neoneuro.com/en/machine-learning

Author:	Evgeny Chuzhakin

Sales email:	info@neoneuro.com
Support email:	info@neoneuro.com

License type:	Shareware
Class:	Business::Databases & Tools
Specific:
Categories:	Business & Finance :: Accounting Tools, Education :: Science
Platform:	Windows
OS:	Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, WinServer, WinOther, WinVista, WinVista x64
System requirements:	2 Gb RAM
Language:	English, German, Russian
Limitations:	Speed

English Russian

Keywords: machine learning, ai, машинное обучение

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.

Keywords: machine learning, машинное обучение

1.Основная идея NeoNeuro Machine Learning – универсальность.
2.Универсальность – это когда всё работает по одной кнопке. Скопировали данные в таблицу и нажали Calculate. Всё!
3.По умолчанию в Machine Learning открывается пример, в котором компьютер учится элементарным математическим операциям. Советуем потренироваться и с нуля научить компьютер складывать и вычитать – это сразу даёт понимание того, как работает программа.
4.Нажмите на ChessBoard и научите компьютер шахматным ходам. Вы увидите, как компьютер вначале ошибается и как постепенно учится ходить правильно. Искусственный интеллект Machine Learning в этом аспекте подобен человеческому.
5.«Человечность» программы проявляется и в работе со статистическими базами – в отличие от классических Data Mining и Machine Learning приложений, NeoNeuro Machine Learning может отвечать «не знаю» или давать ответы на выбор – совсем как человек-эксперт.
6.Универсальность Machine Learning это:
a.Единый метод работы с любыми данными: статистические базы, обучение компьютера арифметике, решение геометрических задач, таких как обучение или шахматным ходам или движению роботов.
b.Интуитивно понятное добавление данных. Скопируйте данные из электронной таблицы или HTML страницы и просто вставьте в NeoNeuro Machine Learning – программа сама разберётся с типами параметров, при этом их можно менять вручную.
c.Ввод данных для проверки идентичен вводу данных для обучения, здесь также можно использовать копирование и вставку.
d.Machine Learning предлагает детальный и понятный отчёт. Для статистических данных 10% обучающей выборки не используются для обучения, а используются для проверки. Вы увидите как матрицу ошибок (confusion matrix), так и диаграмму распределения типов ответов.
7.Настройки. По умолчанию в Machine Learning всё настроено так, чтобы было комфортно работать c любыми данными. При этом можно настраивать:
a.Типы атрибутов
b.Размерности атрибутов.

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Date	Version	Status	Release history
14 Dec 2015	2.1	Major Update	Confusion matrix, work with Abalone and Adult datasets.

Distribution permissions: The trial version of NeoNeuro Machine Learning can be freely distributed over the internet in an unchanged form

NeoNeuro Machine Learning Software License Agreement.

This is a legal agreement between you and NeoNeuro Machine Learning Software (Evgeny Chuzhakin) covering your use of NeoNeuro Machine Learning (the 'Software').

1) NeoNeuro Machine Learning is provided as freeware, but only for private, non-commercial use (that means at home).

1a) NeoNeuro Machine Learning is free for educational use (schools, universities, museums and libraries) and for use in charity or humanitarian organisations.

1b) If you intend to use NeoNeuro Machine Learning at your place of business or for commercial purposes, please register and purchase it.
Commercial users: please contact me by E-Mail for prices, discounts and payment methods.

1c) If you buy NeoNeuro Machine Learning license(s), NeoNeuro Machine Learning hereby grants to you a perpetual, worldwide, fully paid-up, non-exclusive license to use the Software solely for your internal business purposes.

2) NeoNeuro Machine Learning Software is owned by Evgeny Chuzhakin and is protected by copyright laws
and international treaty provisions. Therefore, you must treat the Software like any other
copyrighted material.

3) You may not distribute, rent, sub-license or otherwise make available to others the Software
or documentation or copies thereof, except as expressly permitted in this License without prior
written consent from NeoNeuro Machine Learning (Evgeny Chuzhakin). In the case of an authorized transfer, the
transferee must agree to be bound by the terms and conditions of this License Agreement.

4) You may not remove any proprietary notices, labels, trademarks on the Software or
documentation. You may not modify, de-compile, disassemble or reverse engineer the Software.

5) Limited warranty: NeoNeuro Machine Learning and documentation are 'as is' without any
warranty as to their performance, merchantability or fitness for any particular purpose.
The licensee assumes the entire risk as to the quality and performance of the software.
In no event shall NeoNeuro Machine Learning or anyone else who has been involved in the creation, development,
production, or delivery of this software be liable for any direct, incidental or consequential
damages, such as, but not limited to, loss of anticipated profits, benefits, use, or data resulting
from the use of this software, or arising out of any breach of warranty.

Copyright (C) 2015 by Evgeny Chuzhakin.

Internet: http://neoneuro.com/machine-learning
Email: info@neoneuro.com

All rights reserved.

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