Magic thinking about machine learning will not bring the emergence of real AI

Magic thinking about machine learning will not bring the emergence of real AI  
 
"Any sufficiently advanced technology", - wrote the gray cardinal of science fiction Arthur Clarke, is "indistinguishable from magic." This quotation, which the fans promoting the technology tirelessly, is perhaps the most destructive statement of all that Clark did, as she encourages our hypnotic amazement over technology and disables critical thinking. Since, when it comes to "magic", by definition it will be something inexplicable. There is no point in asking questions about this; just take it as it is, relax and muffle distrust.
 
 
Now most of all ...
+ 0 -

GeekUniversity opens a set for the faculty of artificial intelligence

GeekUniversity opens a set for the faculty of artificial intelligence  
 
In our online university for programmers a new faculty of artificial intelligence was opened. Students in just one and a half year can pass the path from beginner to programmer-researcher (data scientist) at the middle level. GeekUniversity - a joint educational project Mail.Ru Group and GeekBrains with guaranteed employment.
 
here .   In our online university for programmers a new faculty of artificial intelligence was opened. Students in just one and a half year can pass the path from beginner to programmer-researcher (data scientist) at the middle level. GeekUniversity - a joint educational project Mail.Ru Group and GeekBrains with guaranteed employment.  here ...
+ 0 -

From the loaded MPP DBMS - a vigorous Data Lake with analytical tools: we share the details of creating

All organizations that have anything to do with data, sooner or later, face the issue of storing relational and unstructured databases. It is not easy to find simultaneously convenient, effective and inexpensive approach to this problem. And to make it so that the data can successfully work with date-sentientists with models of machine learning. We did - and although we had to tinker, the final profit was even more than expected. We will describe all the details below.
 
 
From the loaded MPP DBMS - a vigorous Data Lake with analytical tools: we share the details of creating  
Parquet . [/i] For analytical problems, so-called wide tables with many columns ...
+ 0 -

Multi-armed bandits in the recommendations

Hello! My name is Misha Kamenshchikov, I am engaged in Data Science and the development of microservices in Avito's team of recommendations. In this article, I'll talk about our recommendations for similar ads and how we improve them with the help of multi-armed bandits. With a report on this topic, I spoke at the conference Highload ++ Siberia and at the event «Data & Science: Marketing» .
 
Multi-armed bandits in the recommendations Recommendations for Avito
 
Service similar ads
 
Rankers and configs
 
A /B tests ...
+ 0 -

Why do you need Splunk? Internet of things and industrial data

Why do you need Splunk? Internet of things and industrial data  
 
Today we want to talk about the Internet of things (IoT) and the industrial Internet of things (IIoT), and also about how Splunk is connected with this.
 
SplunkBase in the Internet of Thing section.
 
 

Splunk Industrial Asset Intelligence


 
 
 
In the spring of 201? Splunk announced the launch of its first platform Splunk Industrial Asset Intelligence (IAI) , directly related to IIoT, intended for process automation engineers in industrial companies.
 
 
This solution is intended for companies in production, energy, transportation, oil and gas, as well as other industrial sectors.
 
 
Splunk IAI correlates data from automated control systems (ACS), sensors, SCADA systems and applications, which makes it easy to monitor and diagnose equipment operation and problems in real time.
 
 
Since June 2? the Splunk IAI is released with limited availability, and a full release is scheduled for autumn of 2018 .
 
 
The official ...[/h]
+ 0 -

Neural networks: the implementation of the problem of mushrooms on Tensor Flow and Python

Tensor Flow - a framework for building and working with neural networks from Google. Allows to abstract from the internal details of machine learning and focus directly on the solution of its task. A very powerful thing, it allows you to create, train and use neural networks of any known type. I did not find any explanatory text on this subject on Habr, therefore I write my own. The implementation of the solution to the mushroom problem using the Tensor Flow library will be described below. By the way, the algorithm described below is suitable for predictions in almost any field. For example, the ...
+ 0 -

We study syntactic parsers for the Russian language

Hello! My name is Denis Kiryanov, I work for Sberbank and deal with problems of natural language processing (NLP). Once we needed to select a syntactic parser to work with the Russian language. To do this, we went deep into the jungle of morphology and tokenization, tested various options and evaluated their application. Share experiences in this post.
 
 
We study syntactic parsers for the Russian language  
definition tree of dependencies from the textbook of Martin and Zhurafsky:
 
 
Dependency tree is a directed graph that satisfies the following constraints:
 
 
 
There is a single designated root node that has no incoming arcs...
+ 0 -

Deep Learning: Recognition of scenes and attractions on images

Deep Learning: Recognition of scenes and attractions on imagesTime to replenish the treasury of good Russian-language reports on Machine Learning! Moneybox itself is not replenished!
 
 
This time we will get acquainted with the fascinating story Andrei Boyarov about the recognition of scenes. Andrey is a programmer-researcher engaged in computer vision at Mail.Ru Group.
 
 
Scene recognition is one of the most actively used areas of computer vision. This task is more complicated than the studied recognition of objects: the scene is a more complex and less formalized concept, it is more difficult to identify the signs. From the recognition of scenes ...
+ 0 -

We are looking for speakers at Moscow Data Science Major

We are looking for speakers at Moscow Data Science Major
 
 
September 1 Mail.Ru Group and Open Data Science community will hold the largest Moscow Data Science Mitap.
 
 
We will open a new academic and working year for the whole day of sections and networking!
 
Fill in the form , to perform at the Mitap. Please note that completing the form does not guarantee your participation. We will review all applications and reply to the mail you indicated about the decision.
 
 
Mitap is focused on Data Science professionals and enthusiasts. We do not accept marketing or advertising reports. It is important for us that the reports are relevant and useful to the ...
+ 0 -

How we taught the AI ​​to recognize clusters of galaxies

How we taught the AI ​​to recognize clusters of galaxies
 
 
Recently, together with a team of friends-astrophysicists, I finished the project, the purpose of which was to search for distant, hidden by the tissue space of galaxies and their clusters. Now I will share with you what we have done as a result of this difficult work. Course by Inception
 
OV Verkhodanov, NV Verkhodanova, OS Ulakhovich and others, Astrophysical Bulletin, Vol. 7? ? 2018
 
Ostriker, Jeremiah P., Ethan T., Nature, 322 (6082): 80? 1986
 
Passmoor S., Cress C., MNRAS, 397 (1), 2009
 
Planck Collaboration, Astron. Astrophys.57? A2? 2014
   Recently, together with a team of friends-astrophysicists, I finished the project, the purpose of which was to search for distant, hidden by the tissue space of galaxies and their clusters. Now I will share with you what we have done as a result of this difficult work. Course by Inception  OV Verkhodanov, NV Verkhodanova, OS Ulakhovich and others, Astrophysical Bulletin, Vol. 7? ? 2018 Ostriker, Jeremiah P., Ethan T., Nature, 322 (6082): 80? 1986 Passmoor S., Cress C., MNRAS, 397 (1), 2009 Planck Collaboration, Astron. Astrophys.57? A2? 2014 ...
+ 0 -