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1  Alternate cryptocurrencies / Service Discussion (Altcoins) / Bias analysis and Quality control on: December 29, 2017, 01:36:58 PM
Algorithm owner and operator are sat on immense external niche market unknown to them. 
Even at the best of human skills, this is an inexact science at best.
There is what we call the bias, inserted by the gathering mean and underlying assumptions, data quantity and regularity.

This bias is generally mitigated by the sheer quantity of structured and will often require to clean one’s datasets in order to reduce its effect.

Examples of datasets:
●   Iris flower data set – Multivariate data set introduced by Ronald Fisher (1936).[7]
●   MNIST database – Images of handwritten digits commonly used to test classification, clustering, and image processing algorithms
●   Categorical data analysis – Data sets used in the book, An Introduction to Categorical Data Analysis.
2  Alternate cryptocurrencies / Service Discussion (Altcoins) / Gathering and curation of datasets on: December 28, 2017, 04:00:54 PM
Gathering and quality control of structured data are the main hassles of machine learning engineers. Gathering methods generally produce a single set of structured data (this can be mitigated by smart gathering methods, classifications and some software features)

Examples of datasets gathering method:
●   Bots: Automated script crawling the web of database to “mine” data;
●   Thirds parties: External third parties which will provide inputs , that are aggregated together to form new set of structured data;
●   Bulk buys: External data processors or open sources datasets.
3  Alternate cryptocurrencies / Service Discussion (Altcoins) / Structured Data for monetizing on: December 27, 2017, 04:40:16 PM
With advances in digital technologies and mobile devices, as well as internet proliferation, data is being generated at increasing velocity and many organizations develop strategy to extract more value directly or indirectly from it. (E.g Iota, with IoT devices)

Previously, people have given their data away to companies in exchange for free and centralized access to applications and services. Unfortunately, the models created to serve these users were domain-specific and typically locked away in walled gardens making it difficult to scale and create efficient market places beyond that of these services

The main difficulties associated with monetizing data  are:
  • Privacy
  • Security and Intellectual Property
  • Time & Cost
4  Alternate cryptocurrencies / Service Discussion (Altcoins) / Distributed Marketplace(2) on: December 26, 2017, 05:26:26 PM
VN3T provides a marketplace infrastructure, interface and network clients, distributed within the data community, which enable all organizations to easily and safely monetize their data, algorithm models and train new algorithms. This open the creation of software backend components as a service.

The data and service offering take the form of a listing, that will broadcast the relevents metadata related with the data, information type, category, BIas factor, prices , relational KPI map, data format, schema etc.

Theses listings can be accessed via multiple UI client such as website, mobile apps and native apps (internet connected) and newly develop UI with our openSDK network client. User interact with theses UI to create new services, deploy data streams or use the sandbox tool to create backend components. All wallets associated with all user’s service are accessible from there. The authentication process is handled using smart contract signing logic and passphrase.

Key Features
  • 2-way Marketplace data/algorithms SaaS economy
    Advanced analytics and training tools
    Governance voting system
    Accessible from anywhere with our network clients

VN3T use free market competitive approach which will allow users, providers and creators to sell and at the same time buy as many other data, algorithm services in the form of multi-layered transaction and build more complex service, extract more valuable data or create entirely new services. All this ensuing the best performance regulation by the law of offer,  demand and economic viability.
5  Alternate cryptocurrencies / Marketplace (Altcoins) / VN3T Hardware Layer on: December 17, 2017, 08:01:09 AM
This layers handles the cooperative grid computing, using BOINC (Berkeley Open Infrastructure for Network Computing).

This is managed using “mining” applications made available via our mining network client. The cooperative grid computing will be organised in a GPU card specific environment.
This environment is called a “Mining Pool” (MP) . The mining pool collect the acknowledgement of allocation in the form of cryptographic signature stored until reconciled by the block confirmation service.

The signature are distributed by the peer-2-peer network in order of contributions, in bytes processed. This MP dedicate its computing power using the drivers and router in Protocol Layer (PL).
6  Other / Meta / Re: My articles now show image. on: December 16, 2017, 09:02:07 PM
Thanks, I understand.
7  Other / Meta / Re: My articles now show image. on: December 14, 2017, 06:05:09 PM
Thanks for your reply.

But I'm not sure how can I pay for copper rank.

How can bitcointalk verify that I payed?

If one register my address by watching blockchain transactions, how can I verify that is my payment?

8  Other / Meta / My articles now show image. on: December 03, 2017, 05:02:43 PM
Hi everyone.
I'm uploading several articles here, but still images not shown.

for example, following don't work.


I used following code
Code:
[img]https://i.imgur.com/eyODcM4.png[/img]

I've looked several articles about image problem, and found that members have something like test when he register this site at the first time.

But it is almost a month, and I posted 5 articles.
Still images not work.

I hope the advise of experts of bitcointalk.

Thanks.
9  Alternate cryptocurrencies / Marketplace (Altcoins) / [VN3t Story] Data Visualization Tool on: November 26, 2017, 02:51:57 PM


One of the main approach of VN3T is to make data assets and algorithms structuring and monetizing process easily available and at an attractive price, using a Data Visualization Tool.

This enables the data provider to tag the key performance indicator (KPI) that can be used and propose the best statistic calculation layer that can be extracted.
These statistical calculations become the data endpoint streams that are sold either by volume, bulk or time method, which is set by the data provider.
10  Alternate cryptocurrencies / Marketplace (Altcoins) / [VN3T story] Distributed Marketplace on: November 26, 2017, 02:38:15 PM


VN3T provides a marketplace infrastructure and interface, distributed within the data community, which enables multiple organizations to easily and safely monetize their data, algorithm models and train new algorithms.
VN3T provides a free market approach which will allow users and providers to simultaneously sell and buy data and algorithm services in the form of multi-layered transactions to build a more complex service, or to extract more valuable data.
These operations are all handled in a powerful distributed ledger - a virtual environment of GPU power - that will permit peer-2-peer transactions.
The data and service exchanges will take the form of a broadcasted listing with the relevant metadata related to the channel and all other resources from the marketplace including data visualization tool, sandbox, wallets are accessible in dashboard from multiple user interface (UI) clients such as a website, mobile and desktop application.
11  Economy / Services / [VN3T story] Decentralized Marketplace For Global Data Network on: November 24, 2017, 09:25:21 AM

One of the fast growing market is global data network.

As more businesses expand into international markets, the ability to make quick, sound decisions has become increasingly important.
To help businesses successfully expand into these markets with confidence and agility, companies make their own data assets and update it continuously using modern techniques such as AI and machine learning.

But not all business can access these data assets and techniques.
Vast amount of data and calculation is needed and big data, distributed, clustering, and so many knowledge is necessary for these type of business.

Building infrastructure using blockchain and GPU pooling may be one of the successful idea for this type of business, as it will provide a large scale of possibility for resolving many problems of global data network.

VN3T is a two-way marketplace designed for an ecosystem of data and algorithm stakeholders. The infrastructure is built using blockchain distributed ledger and self executing code technology which handles multi-layered transactional environment supporting a real-time service creation scaling market in the form of software as a service (SaaS) or “building block” strategy.

VN3T intends to aid small, medium and large firms to easily, and safely monetize their data and algorithm services, while proposing that the data follow a standardized model using a data visualization tool and training sandbox. These features enable buying and selling of structured data as well as calculated statistics via an application program interface (API) abstraction model or “channel”. These channels are then used by a community of algorithm service providers to create and offer an ever expanding number of services.  VN3T is tackling the challenge associated with scalability, big data, machine learning,  structured data and bias analysis by operating a parallel network of super computing power in the form of collective graphics processing unit (GPU) pooling effort, branded as “mining”.
12  Alternate cryptocurrencies / Altcoin Discussion / [VN3T story] Challenges and Solutions of Vn3t on: November 23, 2017, 10:57:47 AM
Hi Bitcoin forum guys.
Today I'm gonna talk about the Vn3t's goal.

The world is changing and physical assets are becoming less and less essential in business. In contrast, data has become main part of company assets and IT world.
Many organizations develop strategies to extract greater value either directly or indirectly using Artificial-intelligence(AI) techniques such as machine learning and provide special services based on data collections.
Large volume of valuable data assets and own particular machine learning algorithms are goldmines for companies and there are a lot of attempts to monetize them.
Here, there remains risk and problems of:
•   Privacy,
•   Security, and
•   Intellectual Property.
An organization cannot risk streaming actual client data which exposes original data sources. The cost to implement a viable, safe monetization strategy which mitigates these challenges is resource intensive, and creates a situation where data-oriented business models are the main actors and stakeholders of the actual data market.

Furthermore, each company that operates trained algorithms sit on a goldmine that can be monetized externally from their market. In the actual paradigm, a firm that wishes to buy or build a structured dataset must find data providers, analyze data quality, and implement data structuring in a unique way, making cross-service creation rigid and linear.

For the network to be distributed in an uncontrolled and fully peer-to-peer manner, VN3T uses Blockchain technology. Its mining system allocates powerful GPU calculation power in the form of cooperative GPU pooling. This virtualized environment will optimize the confirmation, calculation and transaction process time at  “state-of-the-art” level.
13  Alternate cryptocurrencies / Service Announcements (Altcoins) / [VN3T story] General problems for International Data Network on: November 16, 2017, 03:21:54 AM
As data assets or algorithms become more valuable, many organizations develop strategies to extract greater value either directly or indirectly.
The primary difficulties are:

  • Privacy
  • Security
  • Intellectual Property

An organization cannot risk streaming actual client data which exposes original data sources.
The cost to implement a viable, safe monetization strategy which mitigates these challenges is resource intensive, and creates a situation where data-oriented business models are the main actors and stakeholders of the actual data market.

Furthermore, each company that operates trained algorithms sit on a goldmine that can be monetized externally from their market.
In the actual paradigm, a firm that wishes to buy or build a structured dataset must find data providers, analyze data quality, and implement data structuring in a unique way, making cross-service creation rigid and linear.
This entire process creates a dominant group of stakeholders such as: Google, Facebook, Microsoft, Yahoo, Uber, etc., which slows the actual development of machine learning based services.
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