Please enter letter, number or punctuation symbols. Bringing data Analyses world of Data Competitions to the grand stage for people in all walks of life, be they PhD holders, company teams, students or new data scientists, the event is open to all teams and individuals alike. The event aims to bridge the gap between the all-increasing complexity of Machine Learning models and performance bottlenecks of the industry.
The participants will strive not only to maximize the quality of their predictions, but also to devise resource-efficient algorithms. This will be a team machine learning competition, divided into two stages. The first stage will be online, open to all participants. The second stage will be the offline on-site finals, in which the top 30 performing teams from the online round will compete at the Yandex office in Moscow. The Olympiad is held in two rounds: online qualification round hosted on the Yandex. Contest Platform, and the on-site finals, held in Moscow. The solution of the task of the online round must be submitted by the team to the contest system no later than 23.
59 Moscow time on February 11, 2018. Based on the results of the online round, a table with points scored by teams will be published on the IDAO site by February 18, 2018, highlighting the list of finalists. Each team can submit only one solution. Only participants who have reached the age of 18 before the start of the on-site finals can participate. At the finals, participants will need to use their own computer. Use of any legal software is allowed. Organizers of the Olympiad will provide cloud computing service, but won’t provide computers.
Three prizes will be awarded in the final round: one for the winning team, and two runners up. The first track will be a traditional data science competition. Having a labeled training data set, participants will be asked to make a prediction for the test data and submit their predictions to the leaderboard. In this track, participants can produce arbitrarily complex models.
In real world problems, efficiency is as important as quality. Complex and resource-intensive solutions will not fit the strict time and space restrictions often imposed by an application. That is why in the second competition track, your task will be to solve the same problem as was in track one, but with tight restrictions on the time and on the memory used during both learning and inference. We hope that the two tracks will make the olympiad fascinating for both machine learning competition experts and competitive programming masters, Kaggle winners and ACM champions, as well as everyone eager to solve real world problems with Data. Moreover, we encourage people with different backgrounds, ML and ACM, to team up and push Data Analysis to new frontiers. The second, onsite tour will be held in Moscow in April 2018 at the central headquarters of Yandex.
Over the 36 hours of competition, participants will try not only to get up to speed on the model, but to create a full-fledged prototype that will be tested both in terms of accuracy and performance. As part of the onsite round of the olympiad, speeches and workshops by international experts in machine learning and data analysis are also planned. Sberbank has more than 145 million customers in 21 countries. Sberbank has the largest distribution network in Russia with almost 15,000 branches, and its international operations include UK, US, CIS, Central and Eastern Europe, India, China, Turkey and other countries. The Bank holds the general banking license No.
1481 issued by the Bank of Russia. This is a major release from 0. 1 and includes a single, API-breaking change. NA values are present, the result is NA.
0 whatsnew overview for further explanation of all the places in the library this affects. This is a minor bug-fix release in the 0. We recommend that all users upgrade to this version. Temporarily restore matplotlib datetime plotting functionality. This should resolve issues for users who relied implicitly on pandas to plot datetimes with matplotlib. Improvements to the Parquet IO functions introduced in 0.
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1 Whatsnew overview for an extensive list of all the changes for 0. Packages are available for all supported python versions on Windows, Linux, and MacOS. Python has long been great for data munging and preparation, but less so for data analysis and modeling. Python without having to switch to a more domain specific language like R. Combined with the excellent IPython toolkit and other libraries, the environment for doing data analysis in Python excels in performance, productivity, and the ability to collaborate.
More work is still needed to make Python a first class statistical modeling environment, but we are well on our way toward that goal. What do our users have to say? We have found pandas easy to learn, easy to use, and easy to maintain. The bottom line is that it has increased our productivity. If you want one tool to be used across a multi-disciplined organization of engineers, mathematicians and analysts, look no further.
The simplicity and elegance of its API, and its high level of performance for high-volume datasets, made it a perfect choice for us. Time series-functionality: date range generation and frequency conversion, moving window statistics, moving window linear regressions, date shifting and lagging. Highly optimized for performance, with critical code paths written in Cython or C. Python with pandas is in use in a wide variety of academic and commercial domains, including Finance, Neuroscience, Economics, Statistics, Advertising, Web Analytics, and more. The IMF Press Center is a password-protected site for working journalists. The CPIS database allows comparisons on a country-by-country basis of holdings of portfolio assets and liabilities by instrument.
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Note On this site, the term “country” does not in all cases refer to a territorial entity that is a state as understood by international law and practice. As used here, the term also covers some territorial entities that are not states. Dependent territories of member countries are listed alphabetically followed by a description of the constitutional relationships with their member countries. Data The IMF publishes a range of time series data on IMF lending, exchange rates and other economic and financial indicators.
Manuals, guides, and other material on statistical practices at the IMF, in member countries, and of the statistical community at large are also available. Download time series data for GDP growth, inflation, unemployment, payments balances, exports, imports, external debt, capital flows, commodity prices. A website that brings together data for the major economies available from international agencies covering the financial, governmental, external, and real sectors, and provides links to data in web sites of international and national agencies. It provides current data on house prices as well as metrics used to assess valuation in housing markets, such as house price-to-rent and house price-to-income ratios. Separate data on equity and debt positions, and other breakdowns, are provided.
Click here for the summary results of this survey. Historical data by country and selected topics are also available. Provides data on the country and area distribution of countries’ exports and imports by their partners. Contains detailed annual statistical data on revenue, expense, transactions in assets and liabilities, and stocks of assets and liabilities of general government and its subsectors as reported by member countries. Provides annual geographic and demographic data on access to basic consumer financial services worldwide.
This is achieved through the identification and development of appropriate high quality data that are comparable across countries and over time collected by means of periodic surveys. Provides data and detailed metadata reported on a regular basis by a first batch of member countries for 12 core and 28 encouraged FSIs. Countries may report monthly, quarterly, semiannual, or annual FSIs for dissemination. The IMF will aim over time to expand the list of reporting member countries. They provide a summary of global economic prospects at the time of the respective meeting.
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Download comparable data on the economic objectives and outcomes of Fund-supported arrangements since 2002. Breakdowns by level of government, type of instrument, currency, and maturity are provided, using standard definitions to support cross-country comparisons. Projected Payments to the IMF Members’ currently scheduled payments to the IMF. Lending Arrangements Similar to a line of credit to support a country’s adjustment program. Holdings Member data on SDRs, the international reserve asset created by the IMF. Protracted Arrears Amounts due from member countries that are six or more months overdue. Use of the Fund’s quota-based resources to finance operations.
Prepared in accordance with International Financial Reporting Standards. Fund by the issuing central bank. Established to guide countries in the provision of their economic and financial data to the public. The General Data Dissemination System Guide for Participants and Users—The General Data Dissemination System provides member countries with a basic framework for a broader national statistical development strategy. 1996 within the IMF’s Data Standards Initiatives to guide member countries in the dissemination of comprehensive, timely, accessible, and reliable economic and financial statistical data in the context of increasing economic and financial integration. It includes an additional nine data categories.
Summarize the extent to which countries observe certain internationally recognized standards and codes. A guide to collect and compile balance of payments and international investment position data. It updates the Balance of Payments Compilation Guide that was released in 1995 to accompany the BPM5. Data Template on International Reserves and Foreign Currency Liquidity. 2013 EDS Guide provides comprehensive guidance for the measurement, compilation, analytical use, and presentation of external debt statistics. It clarifies and updates the 2010 CDIS Guide and is consistent with the IMF BPM6 and OECD BD4. It is the fifth version of the SNA, the first of which was published over fifty years ago.
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List of manuals and guides on government finance statistics. We hope that it will contribute to more timely, accurate, and more internationally comparable data and an improved understanding of the complex issues involved. Versions of the Manual in other languages will follow in due course. Covers concepts, definitions, classifications of financial instruments and sectors, and accounting rules, and provides a comprehensive analytic framework for monetary and financial planning and policy determination. Offers detailed guidelines for the compilation of monetary and financial statistics. 1999, was reconvened in response to various international initiatives and recommendations to improve information on securities markets. The IMF and FSB has been hosting global conferences as part of the Data Gaps Initiative since 2009.
The Conferences are part of the consultation process leading to the preparation of the following progress reports to be delivered to the G-20 Ministers of Finance and Central Bank Governors. Representatives from 32 countries and 10 international organizations attended the meeting. The FSIRG’s Summary of Key Points and Conclusions has been posted publicly. GFS data, including in IMF databases.
The GFSAC serves as a forum to exchange experience with the implementation of the Government Finance Statistics Manual. We are internationally acknowledged experts in the areas of acquiring, curating and providing access to data. CITING DATA Proper citation should be a significant feature of research publications. 9 of 10: You won’t be able to find your family records on our site. 2018 UK Data Service Newsletter is out! Scientists blog from Antarctica and provide a glimpse of what it’s like to do research in the field. What’s hot in the news around climate and sea ice and what are scientists talking about now?
When scientists talk about the cryosphere, they mean the places on Earth where water is in its solid form, frozen into ice or snow. ELOKAWorking together to understand the Arctic system. Advancing knowledge of Earth’s frozen regions NSIDC manages and distributes scientific data, creates tools for data access, supports data users, performs scientific research, and educates the public about the cryosphere. Analysis Scientific analysis of Arctic sea ice conditions plus daily images.
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ELOKA Working together to understand the changing Arctic system. Satellite Observations of the Arctic Mapping decades of NASA scientific data. The NASA DAAC at NSIDC NASA Earth science data on snow, ice, cryosphere, and climate. Visit the Cryosphere Facts, photos and educational resources about Earth’s frozen regions. Greenland Today Daily surface melt images from NASA data, and scientific analysis.
March 19, 2018, concluding a distinguished career in the study of the cryosphere and mountain climates. Sea ice over the Arctic Ocean likely reached its maximum extent for the year on March 17, the second lowest in the 39-year satellite record, falling just behind 2017. The finding has significant implications for human health and ecosystems worldwide. Contrary to conventional wisdom, the amount of dust on the mountain snowpack controls how fast the Colorado Basin’s rivers rise in the spring. The collection of in-depth science stories reveals the surprising ways that scientists use satellite data to study our planet. Options Data offers the most complete and accurate source of option prices and implied volatilities available, used by the leading firms all over world.
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Sell 10 May18 110. Analysis, planning, forecast and data services for energy producers and consumers. Rig Count News – April 20, 2018 U. Rigs targeting oil are up 5 and gas rigs were unchanged. Subscribe to WTRG’s Energy Economist Newsletter – In-depth analysis, information and forecasts.
In addition to OPEC and crude oil prices, gasoline and natural gas prices, topics include regional, national and international exploration, production and consumption. Oil Price History and Analysis – 1869 – 2011. This history of oil prices has 152 years of oil prices and the economic and political events that shaped the price: wars, economy, domestic policy, embargoes, OPEC and price controls. Measures of Petroleum Dependence and Vulnerability in OECD Countries Examines energy security, petroleum dependence, and petroleum vulnerability of the major consuming countries.
Originally published in Middle East Economic Survey. Parallels with earlier energy crises underscore US vulnerability to oil supply shocks today. This summary of our research appeared in the Oil and Gas Journal the first in a series on Global Energy Security. Venezuela Once again a nation in crisis, possibly facing civil war with dire implications for oil prices.
OPEC Issues and Analysis: Articles written over several years analyzing the decisions faced by the Organization of Petroleum Exporting Countries. National Energy Policy – The report to the President. Projects A brief list of some of the projects done by WTRG and its associates. Crude Oil and Natural Gas Rig Count: U. Oil Rallies as Drop in U. Oil Demand: The Price Is Right or the Customer Is Right? Oil giants stay in their own backyards in U.
If prices appear to be out of date refresh or reload your browser. Scientists blog from Antarctica and provide a glimpse of what it’s like to do research in the field. What’s hot in the news around climate and sea ice and what are scientists talking about now? When scientists talk about the cryosphere, they mean the places on Earth where water is in its solid form, frozen into ice or snow. Sea ice data updated daily, with one-day lag. 1981 to 2010 average extent for the day shown. The graph also includes lines for selected earlier years, for comparison.