Open lesson "Feature Engineering on the example of the classic dataset of the Titanic"

 3r33333. 3r3-31. Hello again!
 3r33333.
 3r33333. In December, we will start training for the next group "Data scientist" therefore, there are more and more open lessons and other activities. For example, just recently, a webinar was held under the long title “Feature Engineering on the example of the classic dataset of the Titanic”. He spent 3r3327. Alexander Sizov
- an experienced developer, Ph.D., an expert on Machine /Deep learning and a participant in various commercial international projects related to artificial intelligence and data analysis.
 3r33333.
 3r33333. Open lesson took ...
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Data migration in a bloody enterprise: what to analyze, so as not to overwhelm the project

Data migration in a bloody enterprise: what to analyze, so as not to overwhelm the project 3r3r1314.  
3r3r1314.  
A typical system integration project for us looks like this: the customer has a wagon system for customer accounting, the task is to assemble customer cards into a single database. And not only to collect, but also to clear from duplicates and garbage. To get a clean, structured, full customer cards. 3r3r1314.  
3r3r1314.  
For beginners, I will explain that the migration goes according to the following scheme: 3r31316. sources → data conversion (meets 3r314. ETL 3r3131318. or 3r3r166. bus 3r31318.) → receiver 3r31319. . 3r3r1314.  
3r3r1314.  
On one project, we lost three months ...
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How machine learning will help, when every minute counts

 3r33333. 3r3-31. Imagine that you need to call a taxi. You open the application, see that the car will arrive in seven minutes, click "Order" - and the car is 15 minutes away from you, if it is found at all. Agree, unpleasant? 3r33354.  3r33333. 3r33354.  3r33333. Under the cut, let's talk about how machine learning methods help Yandex.Taxi to better predict ETA (Estimated Time of Arrival). 3r33354.  3r33333. 3r33354.  3r33333. How machine learning will help, when every minute counts 3r33170. 3r33354.  3r33333. 3r33354.  3r33333. To begin, we recall that the user sees in the application before ordering:
 3r33333. 3r33354.  3r33333. ...
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Models Sequence-to-Sequence Part 1

Models Sequence-to-Sequence Part 1 3r33300. 3r3-31. Good day everyone!
 3r33300.
 3r33300. And we have again opened a new stream for the revised course 3r336. "Data scientist"
: another Excellent teacher , slightly modified based on the program updates. Well, as usual interesting 3r310. open lessons
and selections of interesting materials. Today we will begin the analysis of seq2seq models from Tensor Flow.
 3r33300.
 3r33300. Go.
 3r33300.
 3r33300. As discussed in 3r320. tutorial RNN
(we recommend to read it before reading this article), recurrent neural networks can be taught to simulate a language. And an interesting ...
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As a programmer, I picked a

As a programmer, I picked acar. 3r3663. 3r3-31. In previous articles (3–3–32. I 3–3–3651., 3–3–3385. II 3–3–3651., 3–3–36. III 3–3r3651.) I described in detail the development of a service for finding profitable used cars in the Russian Federation. 3r3663. Having traveled for a long time on various used machines, I thought about purchasing a new car and decided to study this issue in detail. In large cities, there are a huge number of official dealers, at least for popular brands. Dealers differ from each other in the list of cars in stock and the size of discounts offered on various models. In search of cars of interest to ...
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As I understood that I eat a lot of sweets, or the classification of goods by checks in the application

As I understood that I eat a lot of sweets, or the classification of goods by checks in the application3r33750. Task 3r3751. 3r3r7777.  3r3r7787. In this article we want to tell how we created a solution for classifying product names from checks in an application for accounting for expenses by check and purchase assistant. We wanted to give users the ability to view statistics on purchases collected automatically on the basis of scanned checks, namely, to distribute all the goods purchased by the user into categories. Because forcing the user to independently group products is already the last century. There are several approaches to solve this problem: you can try to apply clustering algorithms ...
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"The courses were not only for the sake of knowledge, many had career ambitions and professional development objectives"

Habr, hello! Meet Artem Moskalets, CEO of the company Brightlab, with whom we talked in our series of interviews with graduates. Candidate of psychological sciences, former deputy. Director of the GUU. By the will of fate, being in Rostov-on-Don, having become acquainted with local talented developers, Artyom discovered the world of new technologies for himself, began to actively explore this field, assembled a team of professionals and is now successfully developing his company.
 
 
"The courses were not only for the sake of knowledge, many had career ambitions and professional development objectives"
 
 
3r3208. - Artyom, please introduce yourself and tell about your background. [/b]
 
 
- Artyom Moskalets, CEO at Brightlab ...
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Adult journalism: from Russia to the Kremlin

Adult journalism: from Russia to the Kremlin Analysis of publications Lenta.ru for 18 years (from September 1999 to December 2017) using python, sklearn, scipy, XGBoost, pymorphy? nltk, gensim, MongoDB, Keras and TensorFlow. 3r33333. 3r33312.  
3r311. 3r33333. 3r33312.  
The study used data from the post “ Analyze this - Lenta.ru »User ildarchegg . The author has kindly provided 3 gigabytes of articles in a convenient format, and I decided that this is a great opportunity to test some text processing methods. At the same time, if you're lucky, learn something new about Russian journalism, society and in general. 3r33333. ...
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Reinforcement Training

Reinforcement Training 3r33588. 3r3-31. Hello! 3r? 3572.  3r33588. 3r? 3572.  3r33588. We opened a new thread on the course "Machine learning" , so wait in the near future articles related to this, so to speak, discipline. Well, of course, open seminars. And now let's consider what reinforcement learning is. 3r? 3572.  3r33588. 3r? 3572.  3r33588. Reinforcement training is an important type of machine learning where the agent learns to behave in the environment, performing actions and seeing results. 3r? 3572.  3r33588. 3r? 3572.  3r33588. In recent years, we have seen a lot of success in this exciting area of ...
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Comparison of products using Elasticsearch for the competitor price monitoring service

 3r33584. 3r3-31. Back in 201? the idea arose to develop a service for monitoring the prices of competitors. Its distinctive feature from other similar services should have been the function of daily automatic comparison of goods. Apparently because of the almost complete lack of information on how to do this, price monitoring services offered only the possibility of manual comparison by the clients themselves, or by service operators with a price from 0.2 to 1 ruble for the fact of comparison. The real situation with, for example, 10 sites and 2?000 products on each, inevitably requires automation ...
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