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Author Topic: [ANN] Adding AI to every website  (Read 1708 times)
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Gurev (OP)
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October 26, 2017, 12:40:29 PM
Last edit: December 15, 2017, 02:18:59 PM by Gurev
 #1



We closed this self-moderated topic and open a new one, moderated by the forum administration.


https://bitcointalk.org/index.php?topic=2584915

Our attention was brought to the opinion (and we agree with it) that self-moderated topics lack credibility. In order to avoid concerns that some messages were deleted, we decided to create a topic that is moderated by the forum administration. You can continue the discussion there.








uKit ICO

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Bounty    White Paper

Russian topic



Boosting Website Conversion
with Artificial Intelligence


Generative design of dynamic landing pages based on crowd data



Opportunity

Personalizing websites for visitors is the next big thing on the web

There are over 3.8 billion web users and they are all used to having customized experience on the Internet — personalized ads messages, social media feeds and map directions. Technologies allowing to automatically tailor websites for different audiences already exist and help companies that make the Fortune 500 list gain profits: AI instantly checks multiple parameters, divides visitors into segments, creates page versions and product recommendations for audience segments — and learns how a web page should look like to achieve the highest conversion rate for a particular audience.


80% of companies

want to use machine learning for improving conversion rates and user experience

The studies show that the majority of small businesses would like to get access to these technologies in order to make their websites more user-friendly and to increase conversion rates. They can’t possibly implement this on their own and are waiting for a ready-to-use tool.


77% of Internet users

would like to receive personalized marketing messages

We do have a solution: generative design methods and intellectual data analysis can be adapted for the market and combined with website management tools to create an all-in-one platform available to everyone.



                                                                                                                     

We are doing it right now

By relying on our own developments and data sources about audiences and conversion rates.
Our team created website builders hosting 3.5 million websites. Using this as a foundation, we are developing a platform that combines:
CMS

Generative (machine) design system

System of intellectual data analysis

Internet audiences data storage collected from various sources — our own data (with consent of our users) as well as data purchased from big data management platforms (DMP)


In other words, we are bringing together all tools necessary for personalizing any website for different audiences within one cloud-based platform. With its release, both sides of the market will get what they want: any website owner will be able to increase conversion rates with the help of AI technologies, while website visitors will enjoy the convenience of personalized web pages.








We work at the junction of 2 markets

Data is one of the most booming markets

The data market is expected to triple in value within the next 10 years — up to $92 billion per year. Professional services, applications and data storages will generate the biggest share of income.


Market volume in billion U.S. dollars



https://www.statista.com/
          Market volume in billion U.S. dollars



https://www.statista.com/



We are making a website personalization service with an integrated data storage for the online marketing industry which has a mass demand for this technology.




Website market is steadily growing

89% companies name websites the main channel for attracting customers

In comparison, social networks are named by 72%, aggregators — by 32%, and corporate mobile apps — by 15%.


Growing number of websites worldwide



http://www.internetlivestats.com/
          Growing number of second-level domains worldwide



https://www.centr.org/

It’s been 12 years since we entered the market of SaaS solutions for website management, and we have accumulated expertise in promoting products there.



The platform grows through:


— Number of connected websites

— Amount of traffic going through the platform

— Number of personalized versions created by AI

— Collected and purchased data




These factors give a UKT token a potential for growth in value: it’s secured by the percentage of the data volume and personalized versions.




It’s not just an idea. We have something to show

We have already created the components of our future platform — these are uKit & uLanding website builders and a prototype of uKit AI generative design system. The only thing left to add is uData, a system of data collection, storage and analysis, so that everyone could take advantage of the personalization — visitors, website owners and our backers.


uKit, uLanding
Operational website builders with the shared code base

1 million users
          uKit AI
Generative design system

Alpha version is due November 2017
          uData
System of data collection, storage and analysis

Development starts after reaching the soft cap

Modern solutions for websites and landing pages. uKit includes an intuitive online CMS, hosting, hundreds of adaptive designs, over 30 promotion & lead generation tools, and fast technical support. In addition to these, uLanding has tools for testing design hypotheses and adjusting pages to suit advertising messages and search queries used by visitors to find products and services.
         
Such big corporations as Autodesk and Siemens have already been monetizing professional design products that use generative design. By relying on the same principles, we are creating an automated website redesign system for the mass market. Once uData is launched, uKit AI will be able to create personalized copies of a single page for different audiences, using a recommendation system as a basis.
         
uData includes three subsystems. The database stores depersonalized information about behavior of different Internet audiences. Our recommendation system makes predictions about what will or won’t work out for different audiences on a specific website. Our quality check system tracks the reaction of visitors and refines hypotheses in order to improve the pages’ conversion rate and usability.

— Node.js
— MongoDB
— React
         
— Machine learning
— Machine design
— Scoring: results selection
         
— Machine learning
— Machine data analysis
— Blockchain





How it will work & why it is beneficial for everyone

Thanks to a combination of several tools within one platform, specialists and website owners take advantage of an automated sales funnel, visitors enjoy convenience, while backers — the token value that increases as the whole platform grows.



Basic working principle






Benefits for site visitors
1.
Users are used to getting personalized experience on the Web.

2.
When visiting a website, they see a personalized page (layout, colors, etc) tailored to their type of audience.

3.
And are more likely to find what they are looking for: they discover what they need, fill out an order form, submit it and are happy with the experience.




Benefits for businesses and web professionals
For website owners, marketing specialists, traffic managers, webmasters
1.
Save time and budget: the system tests hypotheses, finds and implements improvements faster than a human, while also keeping track of conversion rates for all website versions.

2.
Conversion growth: thanks to personalization, visitors are more prone to completing a target action (submit order, fill out a form, etc)

3.
Rewards: site administrators can allow the system to use data about how audiences interact with their websites so that the system could learn from it. Site admins receive rewards proportional to their contributions and to the current size of the entire platform.




Benefits for backers
1.
The starting token price is backed by the right to use our existing products.

2.
Businesses and web professionals become platform users: the number of websites grows, so does the amount of traffic that passes through them, and the amount of personalized versions and data.

3.
Token value grows: it can be sold to other system members or traded through cryptocurrency exchanges.




White Paper




Roadmap
1.
uKit AI 1.0: recongition and evaluation systems — November 2017

2.
Pre-ICO. Sale of 5,000 tokens with the 25% discount — December 11, 2017 - January 1, 2018

3.
ICO. 50,000 tokens, soft cap of $2.5M, hard cap of $10M — January 15, 2018 - March 15, 2018

4.
Using tokens to pay for existing products: uKit/uLanding — January 2018

5.
uKit AI beta version — February 2018

6.
uData development start — March 2018

7.
Blockchain-based system to vote for product features — April 2018

8.
uKit AI release — June 2018

9.
uData beta version — August 2018

10.
uKit AI 2.0 beta version: design based on data — September 2018

11.
Release of the entire platform — January 2019




Meet the team

Our team is well-staffed and proven by time and previous projects. Meet the people behind uKit Group, a company that for 12 years has been a big player on the market of SaaS solutions for building and promoting websites.




Evgeny Kurt

CEO

Having 12 years of experience in the sphere of SaaS services for creating and promoting websites business, Evgeny is a co-founder and an executive partner at uKit Group, the company developing uKit.
         

Pavel Kudinov

CTO

An architect of uKit, uKit AI and uData systems. Pavel has 12 years of experience in the position of a technical director in high-load projects.
         

Irina Cherepanova

CPO

Has 7 years of experience in managing product teams. Irina was responsible for the launch and development of three website builders (uShop, uKit, uLanding).
         

Roman Steinberg

Leader of the Neural Network Group

Being a PhD in Physics and Mathematics, Roman has 3 years of experience in the area of machine learning and intelligent data processing.


Employees

— Development of uKit AI Core — 3

— Data Science — 2

— Assessors Collecting Datasets — 12

— Front-end & Back-end Development — 58

— Testing — 4

— Design, UX/UI — 12

— System Administration — 8

— Technical Support — 7

— Marketing — 10

— HR, Financial & Legal Department — 14


3 products

collectively released by the key team members


          3.5M

websites powered by our platforms





UKT token

100,000 tokens will be issued in total

5,000 UKT will be sold with the 25% discount at the price
of $150 per token during the Pre-Sale taking place between
December 11, 2017 and January 1, 2018. The Pre-Sale has
started at ico.ukit.com


50,000 UKT will be sold at the price of $200 per token during
the ICO taking place between January 15, 2018 and March 15,
2018 (or if the hard cap is reached earlier).



During the ICO, we issue ERC20 tokens. The tokens will be
credited to personal accounts of token holders within 30 days
after the end of the ICO.



Token distribution



Tokens that will be held by the team will be available
for transfer,use and sale in a year and a half after the
commercial release of the entire platform.

          Due at once

Time-unlimited use of
existing products for your website.


Influence on the product: the release cycle of
new features is determined by voting with tokens.
The fairness of voting is ensured by the blockchain technology.



In the future

Get rewards If you are a website owner who contributes
data. The reward is based on the current volume
of the system.


Exchange a part of the token for AI At the moment,
1 token gives you 0.001% of personalizations
by uKit AI and uData.


A token can always be sold on our internal
marketplace to users of our already existing products.
Due to the growing base of uKit and uLanding builders,
there will always be a steady demand for a token, since,
by purchasing a token, its holder can use the product
they need on special terms.







Fundraising plans
Soft cap: $2 500 000

The raised funds will be spent on developing uKit AL 2.0
and uData system that allow to create websites
with personalized user experience,
and on releasing those systems to international markets.

          Hard cap: $10 000 000

The raised funds will be spent to develop
uKit AI 2.0 and uData, to enter international markets,
and purchase big data from data management
platforms for the quick growth of the database.


Funds distribution upon reaching hard cap







Bounty

uKit signature and translation programs




Links to our channels

Facebook    Telegram Community    Twitter    Website    

White Paper

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October 26, 2017, 12:40:57 PM
Last edit: November 24, 2017, 03:01:19 PM by Colorblind
 #2

Review

Developer of this project so far failed to provide enough expertise in the field of Data Science to be capable to develop the project described in WP. It looks like company's business revolving around distribution of cheap website templates. None of "Data Scientists" employed by the company have ever graduated actual data science school and one of them stated that he could not afford education that is actually free (this points to the fact he is actually amateur who was unable to pass entry exams, not an expert as he claims or even worse). Further explanation revealed that the only expertise he has is his short employment in company that presumably deals with image recognition (all proof of that fact is in Russian and requires more efforts to research)


Conclusion:

AVOID INVESTING IN THIS PROJECT



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October 26, 2017, 12:42:39 PM
Last edit: December 15, 2017, 01:21:44 PM by Meddych
 #3

 - Here you can find  more detailes about our company background:
https://bitcointalk.org/index.php?topic=2320822.msg23596611#msg23596611
 - Here you can find  more detailes about current stage and using technology:
https://bitcointalk.org/index.php?topic=2320822.msg24652077#msg24652077
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October 26, 2017, 12:46:54 PM
 #4

Few questions:

1. You say you have over 100 employees and engaged in active business. Could you care to provide company credentials (certificate of incorporation, portfolio of finished projects et c.)
2. You listed 2 data scientists in your team - I know Machine Learning is something not everyone can grasp. Are those people qualified? What Machine Learning projects they were part of? What courses they graduated?
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October 26, 2017, 12:53:43 PM
 #5

Few questions:

1. You say you have over 100 employees and engaged in active business. Could you care to provide company credentials (certificate of incorporation, portfolio of finished projects et c.)


You can find all this information at https://ukit.group/en
and links on our working products
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October 26, 2017, 01:07:45 PM
 #6

Few questions:

1. You say you have over 100 employees and engaged in active business. Could you care to provide company credentials (certificate of incorporation, portfolio of finished projects et c.)


You can find all this information at https://ukit.group/en
and links on our working products

So basically what you got is a website constructor that is pretty much the same as dozens of similar project?
You claiming you have expertise in ML, care to link your projects in that field?

P.S. I think it's really bad idea to throw website link to your future investors instead of an actual answer. I'm already spending my time digging in your project in order to decide if it's worth my money. Perhaps you could help me with that?
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October 26, 2017, 01:43:33 PM
Last edit: October 26, 2017, 01:55:31 PM by Roman-St
 #7

2. You listed 2 data scientists in your team - I know Machine Learning is something not everyone can grasp. Are those people qualified? What Machine Learning projects they were part of? What courses they graduated?
Yes, we are qualified enough Smiley I have about 3 years of experience in the area of Data Science, Machine Learning and Computer Vision. I'm PhD in Applied Mathematics and an Associate Professor of the Mathematics, Mechanics and Computer Science Institute at the Southern Federal University. I studied cs231n and Coursera Data Science course from Moscow Institute of Physics and Technology. Projects from previous job are part of NDA and cann't be shown. Current project is ukit AI.

One more our team member successfully won Apple WWDC Scholarship due to her Machine Learning project. She is also finished Introduction to ML course from Moscow Institute of Physics and Technology about 2 years ago and applied for Andrew Ng course and cs231n.
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October 26, 2017, 02:00:29 PM
Last edit: October 26, 2017, 02:18:15 PM by Colorblind
 #8

2. You listed 2 data scientists in your team - I know Machine Learning is something not everyone can grasp. Are those people qualified? What Machine Learning projects they were part of? What courses they graduated?
Yes, we are qualified enough Smiley I have about 3 years of experience in the area of Data Science, Machine Learning and intelligent data processing (image recognition projects). I'm PhD in Applied Mathematics and an Associate Professor of the Mathematics, Mechanics and Computer Science Institute at the Southern Federal University. I studied cs231n and Coursera Data Science course from Moscow Institute of Physics and Technology. Projects from previous job are part of NDA and cann't be shown. Current project is ukit AI.

One more our team member successfully won Apple WWDC Scholarship due to her Machine Learning project. She is also finished Introduction to ML course from Moscow Institute of Physics and Technology about 2 years ago and applied for Andrew Ng course and cs231n.

AFAIK MIPT is a well known University that graduates capable professionals. Coursera is also well-known on-line education platform that hosts on-line courses. However I don't think that on-line courses really sufficient to develop something serious (it can be great introduction but hardly more). Especially in such hard topic as data science. I find suspicious that ALL your previous projects have NDA. Usually NDA have ~2 years expiration dates and since your NDA did not expired yet, I assume you are fairly new to this field. I may be wrong but you provided little to no information that can be easily proven.

Your other colleague, who won WWDC Scholarship sounds very promising. Would she be able to share her award wining project with us? She is surely listed as a winner somewhere? I assume it's not under NDA since it was submitted to public contest and won award? How did her scholarship went? She graduated?


You see I happen to have some knowledge in the topic and understand that you have to have EXCELLENT skills in Linear Algebra to even start to comprehand machine learning. Normal ML course (I mean offline course of Google or Microsoft level) lasts for a couple of years at least and only after that professional can expect to become somewhat capable. Online courses are widely available but can only serve as an indication of capability to continue learning. Usually working in companies like Google, Microsoft, Yahoo (or Yandex or Mail.ru in Russia) serves as an indication of real experience in data science.
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October 26, 2017, 02:03:34 PM
 #9

AI is a hot trend in the IT area. So let's go Ukit AI, which is a promising ICO, personally. Waiting to see the project put a milestone in IT history.
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October 26, 2017, 02:16:54 PM
Last edit: October 26, 2017, 02:29:20 PM by E-Kurt
 #10

So basically what you got is a website constructor that is pretty much the same as dozens of similar project?
Website builders, of course, are not something new and unique Smiley. However, we were an early leader in this industry (and remain such) and have brought a lot to the table in this sphere.

As evidence, you can see millions of websites that are powered by our platforms and hundreds of thousands of users. It’s a great achievement. There are very few website builders in the world that have a similar background.

uKit is a comparatively new project that was launched 2 years ago. Basically, it brings together our previous experiences and is just a nice product that has revealed some of the highest market-growth rates in terms of the number of websites and premium users.

But we knew that we would develop our builder into something more advanced. Just like before, when we gave people the opportunity to create websites without the knowledge of coding and HTML, today we are planning to automate these processes that are extremely time-consuming for website owners and webmasters. This is the future for the website building market. In fact, in the project description a lot of attention is given to the topic of what artificial intelligence is and why it will do things better than a human.

Quote
You claiming you have expertise in ML, care to link your projects in that field?
I invited my collegeto this topic, i think it’s a good idea if he introduce their own background by himself.
And he already tuned in.

Quote
P.S. I think it's really bad idea to throw website link to your future investors instead of an actual answer. I'm already spending my time digging in your project in order to decide if it's worth my money. Perhaps you could help me with that?

Sorry, I thought it will be more convenient since this landing page addresses the questions concerning our background, and we haven’t posted the link to it before.
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October 26, 2017, 02:29:05 PM
 #11

So basically what you got is a website constructor that is pretty much the same as dozens of similar project?
Website builders, of course, are not something new and unique Smiley. However, we were an early leader in this industry (and remain such) and have brought a lot to the table in this sphere.
Sorry for my ignorance - I have never heared of you. Since you have hundreds of thousands users it will be fairly easy for you to link us some (say 1000-2000 links in publicly available google sheet) of unique websites that says "Powered by uKit" on them? That would be really great proof of your track record.


So basically what you got is a website constructor that is pretty much the same as dozens of similar project?

In fact, in the project description a lot of attention is given to the topic of what artificial intelligence is and why it will do things better than a human.

It would really helped if you could prove at least some expertise in data science and machine learning. So far your experts looks a little pale.



Btw, what will your crypto tokens represent for me once I buy them? Say I bought 1000 - what do I get? And when?
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October 26, 2017, 02:40:29 PM
 #12

This kind of great idea, having an AI for the website, If this really work then it will provide a good information for the web and it will be very useful for everyone.
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October 26, 2017, 02:52:08 PM
 #13

Why do you need an ERC20 token for your website building project? What is the purpose it apart of the fundraising?

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October 26, 2017, 03:03:15 PM
Last edit: October 26, 2017, 04:40:16 PM by Roman-St
 #14

Usually NDA have ~2 years expiration dates and since your NDA did not expired yet, I assume you are fairly new to this field.
My previous company is outsourcing company and there were more strict rules. As far as I remember my NDA expires after 3 years from the day I quit. So, I should wait until summer 2019. I can tell you that I worked with points of interest like problem, face detection like problem, searching for anomalies, detection task. I'm using opencv, tensorflow, nvidia digits, catboost, xgboost and couple of other tools including statistics. I organized Data Science seminar for students to prepare them for Kaggle. Also I have 15 years experience in training students for programming contests, if it means something for you.

Usually working in companies like Google, Microsoft, Yahoo (or Yandex or Mail.ru in Russia) serves as an indication of real experience in data science.
I prefer to work with interesting projects, not for famous companies. I had 3 job offers from Yandex, including autonomous driving, but I decided to work with ukit AI Smiley But two of my students were hired by Yandex couple of month ago.

Your other colleague, who won WWDC Scholarship sounds very promising. Would she be able to share her award wining project with us? She is surely listed as a winner somewhere? I assume it's not under NDA since it was submitted to public contest and won award?
Let me introduce Yana Valieva. Article about scholarship. You can see her project for Apple contest here.

How did her scholarship went? She graduated?
She won scholarship for participating in WWDC conference. She participated successfully.

Normal ML course (I mean offline course of Google or Microsoft level) lasts for a couple of years at least and only after that professional can expect to become somewhat capable.
In Russia we have School of data analysis. It lasts for two years and demands from students not to work full time. I can't afford it, because I have to work Smiley, but I have an expertise in real projects. Sorry, but I can't point to them as I said.
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October 26, 2017, 03:26:27 PM
 #15

Good day.
In White paper, you said that pre ico will be in October 2017,  and pre ico is listed on the site in November 2017.
When do you start pre ico and exactly which date?
Thx
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October 26, 2017, 03:56:49 PM
 #16

Good day.
In White paper, you said that pre ico will be in October 2017,  and pre ico is listed on the site in November 2017.
When do you start pre ico and exactly which date?
Thx

Initially, we planned Pre-ICO for the end of October, but our timing shifted a bit. Thank you for finding this bug! Now we started this topic with the very purpose to gather feedback on the project and make corrections to it if there are any suggestions in the comments. The exact date will be announced later and we'll sure post it here in the topic. P.S.: Thank you for reading our WP!
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October 26, 2017, 04:29:25 PM
Last edit: October 26, 2017, 09:47:12 PM by Meddych
 #17

Why do you need an ERC20 token for your website building project? What is the purpose it apart of the fundraising?
The core of the system is data. It will be obtained through contributions by multiple project participants (crowd data).

Blockchain being an intrinsic part of this process will give project participants an opportunity to see their contributions and rewards provided for them, even for minor contributions. The fairness of these transactions are not within the control of developers, but can be checked by outsiders. Eventually, this will allow to reach a new level of quality for data that serve as a basis for the entire system.

Besides, token holders will be able to vote for new features in the system. It's an addition, but I think there's no point in elaborating on how blockchain will be useful here.
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October 26, 2017, 05:02:37 PM
Last edit: October 26, 2017, 09:50:21 PM by Meddych
 #18

And adding more information about our machine learning and generative design background. One more project from Pavel Kudinov.

Cosmics Project

The project is a long-term research across the fields of simulation GPU modelling, machine learning and generative design.

The aim of the project is to construct a "God-like builder" of the interactive environment for staging evolutionary experiments, in conditions of simultaneous modeling of consciousness, physical bodies and the environment of virtual beings.


The project is the development of the ideas of artificial life simulation. The key differences from other, older projects of this kind are:

- Focus on GPU-calculated evolutionary models with a deep optimization of all simulation levels (physical, neuro, genetic).
- As a consequence, there is fundamentally different degree of simulation, both in terms of the sizes of simulated worlds, and in the sense of the complexity of simulated creatures.
- Paradigm pluralism. It is planned to create a series of independent simulations within a common platform, with different physics of creatures, different simulation logic of their consciousness, encompassing all factors in general.
- As the research evolved, a side project was implemented — the framework and the programming language "Scope", with an intent similar to simit-lang.org and vvvv.org, which can be used outside the Cosmics project in a wide range of GPU modeling tasks. In the future, it is planned to publish "Scope" in Open Source.
Materials:

1. Where it all began: the first simulation, August 2012 https://www.youtube.com/watch?v=7_yYU6lvvk4
2. One of the demo scenes that gives insights into the Scope possibilities, April 2017 https://youtu.be/EV_C2LeL9ME
3. Source code of the second Scope scene: https://github.com/pavel-kudinov/cosmics-walk

I can provide more screenshots from other simulations, if you like to see the scope of this research.
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October 26, 2017, 05:58:27 PM
 #19

Quote
My previous company is outsourcing company and there were more strict rules. As far as I remember my NDA expires after 3 years from the day I quit. So, I should wait until summer 2019. I can tell you that I worked with points of interest like problem, face detection like problem, searching for anomalies, detection task. I'm using opencv, tensorflow, nvidia digits, catboost, xgboost and couple of other tools including statistics. I organized Data Science seminar for students to prepare them for Kaggle. Also I have 15 years experience in training students for programming contests, if it means something for you.
That's much better explanation of your profile and that's great. Fortunately I'm familiar with tensorflow and RNN's so It would be great and interesting to glance at some code your surely uploaded on github some time during working with tensor flow. Sharing your public profile would help as well (I always inclined to learn new stuff so if by chance you recorded video of your Data Science seminar that would be fascinating to watch! Also someone with your experience probably have publications.

Quote
I prefer to work with interesting projects, not for famous companies. I had 3 job offers from Yandex, including autonomous driving, but I decided to work with ukit AI Smiley But two of my students were hired by Yandex couple of month ago.

Great. You have saved them? Care to scan/post?


Quote
In Russia we have School of data analysis. It lasts for two years and demands from students not to work full time. I can't afford it, because I have to work Smiley, but I have an expertise in real projects. Sorry, but I can't point to them as I said.

REALLY?! So you couldn't afford FREE Education in FAMOUSLY Known Yandex school of Data Analyses? NOT ONLY THIS, SCHOOL PROVIDE FREE EDUCATION (for those who smart enough to go through online testing) it also provide discounts for those who failed entry exams and pays for education (if they have good marks). The only conclusion I can draw from your statement  - you can't qualify to even STUDY the subject. And since you failed to enter school you surely not qualified to do live projects.




Now seriously my friend is real Data scientist who works in real search engine.  He just can't shut up about his Hirsch index and how it is important for ANYONE in this field to publicize anything on the subject to get known. Now I will explain why I ask that much questions and why I don't really trust you

1. You seem to be hiding your identity. All I really want is to see your public profiles, your past work. I really don't care much about what you say - post more links with proofs, not explanations why you can't prove anything.

2. Great that you introduced Yana to us. It looks like she really did won scholarship in Apple.... This year.... So now she will be off to study. I mean winning scholarship proves that she is bright - no doubt about it, but it means she can study, not develop. Also even though she looks somewhat capable we yet to determine if she is part of your team and won't be gone tomorrow to spend her scholarship on actual study. Can she comment on that account in her social network profiles so we can see she really part of the team and wont be gone next week?



Please don't be surprised that I post a lot of uncomfortable questions here. You are asking alot of money and I am an investor. So I want to determine what will happen with my money once your team get it. So the easiest you can do - provide as much provable information about yourself as you can.



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October 26, 2017, 06:15:01 PM
 #20

And adding more information about our machine learning and generative design background. One more project from Pavel Kudinov.

Cosmics Project



1. Where it all began: the first simulation, August 2012 https://www.youtube.com/watch?v=7_yYU6lvvk4
2. One of the demo scenes that gives insights into the Scope possibilities, April 2017 https://youtu.be/EV_C2LeL9ME
3. Source code of the second Scope scene: https://github.com/pavel-kudinov/cosmics-walk

I can provide more screenshots from other simulations, if you like to see the scope of this research.

Dude I can compile tensorflow or other open source code and generate those videos claiming I invented AI.

 If you sharing project results you could at least post what you were trying to achieve. Your project looks more and more like a scam.

This looks increasingly bad...
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