Boosters: Tinkoff Data Science Challenge

10 января 2017 — 27 февраля 2017
Осталось 5 дней, 19 часов
Tinkoff.ru приглашает принять участие в турнире по машинному обучению. Турнир состоит из двух задач, победитель, помимо приза, получит возможность пройти ускоренное собеседование в Tinkoff.ru

Kaggle: Two Sigma Financial Modeling Challenge

1 декабря 2016 — 2 марта 2017
Осталось 1 неделя, 1 день
Economic opportunity depends on the ability to deliver singularly accurate forecasts in a world of uncertainty. By accurately predicting financial movements, Kagglers will learn about scientifically-driven approaches to unlocking significant predictive capability. Two Sigma is excited to find predictive value and gain a better understanding of the skills offered by the global data science crowd.

Kaggle: Dstl Satellite Imagery Feature Detection

15 декабря 2016 — 7 марта 2017
Осталось 1 неделя, 6 дней
As these large, complex datasets continue to increase exponentially in number, the Defence Science and Technology Laboratory (Dstl) is seeking novel solutions to alleviate the burden on their image analysts. In this competition, Kagglers are challenged to accurately classify features in overhead imagery. Automating feature labeling will not only help Dstl make smart decisions more quickly around the defense and security of the UK, but also bring innovation to computer vision methodologies applied to satellite imagery.

Tianchi: Customer Flow Forecasts on Koubei.com (IJCAI 2017)

8 февраля 2017 — 14 марта 2017
Осталось 2 недели, 6 дней
With the prevalent mobile location-based service, Alibaba and Ant Financial accumulate huge amount of user data on the platform every day, from brick and mortar store receipts to online shopping records. Koubei, Ant Financial’s online-to-offline platform utilizes the data to provide merchants with customized back-end business intelligence services, including transaction statistics, sales analysis and marketing recommendations. For example, Koubei aims to offer sales forecast services for every merchant on the platform. Basing on the forecasts, merchants can optimize their operations, reduce cost and improve user experience.

MLBootCamp III

15 февраля 2017 — 15 марта 2017
Осталось 3 недели
Machine Learning Boot Camp III — третье состязание по машинному обучению и анализу данных от Mail.Ru Group. В этой задаче необходимо научиться предсказывать, остается ли участник в он-лайн игре или уходит из нее. Уходом считается отсутствие его в игре в течение недели.

Kaggle: March Machine Learning Mania 2017

2 февраля 2017 — 16 марта 2017
Осталось 3 недели, 1 день
Another year, another chance to predict the upsets, call the probabilities, and put your bracketology skills to the leaderboard test. In our fourth annual March Machine Learning Mania competition, Kagglers will once again join the millions of fans who attempt to predict the outcomes of this year's US men's college basketball tournament. But unlike most fans, you will pick the winners and losers using a combination of rich historical data and computing power, while the ground truth unfolds on national television.

DataRing: Распознавание объектов на аэрокосмических снимках

1 ноября 2016 — 31 марта 2017
Осталось 1 месяц, 1 неделя
В настоящее время, несмотря на стремительное развитие компьютерных технологий обработки изображений, объем рутинного анализа аэрокосмических изображений, проводимого человеком, все еще остается значительным, а доступные подходы к автоматизации таких задач не обеспечивают достаточную точность распознавания объектов. В рамках конкурса Фонд Перспективных Исследований совместно c Кластером космических технологий и телекоммуникаций Фонда «Сколково» предлагает разработать решение в области создания интеллектуальных технологий дешифрирования видовой аэрокосмической информации.

IJCB 2017: Sclera Segmentation and Eye Recognition Benchmarking Competition

10 декабря 2016 — 10 апреля 2017
Осталось 1 месяц, 2 недели
Sclera biometrics have gained significant popularity among emerging ocular traits in the last few years. The foremost reason for such interest is due to its capability to enhance iris biometrics applicability in non-ideal conditions. In order to establish this idea and to evaluate the potential of this trait, various pieces of work have been proposed in the literature, both employing sclera individually and in combination with the iris. In spite of those initiatives, sclera biometrics need to be studied more extensively to ascertain the usefulness.

Kaggle: The Nature Conservancy Fisheries Monitoring

14 ноября 2016 — 12 апреля 2017
Осталось 1 месяц, 2 недели
Nearly half of the world depends on seafood for their main source of protein. In the Western and Central Pacific, where 60% of the world’s tuna is caught, illegal, unreported, and unregulated fishing practices are threatening marine ecosystems, global seafood supplies and local livelihoods. The Nature Conservancy is working with local, regional and global partners to preserve this fishery for the future.

Kaggle: Data Science Bowl 2017

12 января 2017 — 12 апреля 2017
Осталось 1 месяц, 2 недели
Using a data set of thousands of high-resolution lung scans provided by the National Cancer Institute, participants will develop algorithms that accurately determine when lesions in the lungs are cancerous. This will dramatically reduce the false positive rate that plagues the current detection technology, get patients earlier access to life-saving interventions, and give radiologists more time to spend with their patients.

IJCB 2017: competition on generalized face presentation attack detection in mobile authentication scenarios

1 февраля 2017 — 15 апреля 2017
Осталось 1 месяц, 3 недели
The vulnerabilities of face-based biometric systems to presentation attacks have been finally recognized but yet we lack generalized software-based face PAD methods performing robustly in practical mobile authentication scenarios. During the recent years, many face PAD methods have been proposed and astonishing results have been reported on the existing benchmark datasets (including the databases used in the previous competitions). Recent studies have shown, however, that most of these methods are not able to generalize well in more realistic application scenarios, thus face PAD is still an unsolved problem in unconstrained and unsupervised operating conditions. The aim of this competition is to compare and evaluate the generalization abilities of face PAD methods under some real-world variations, including acquisition device, PAI, and illumination.

IJCB 2017: Unconstrained Ear Recognition Challenge

1 февраля 2017 — 17 апреля 2017
Осталось 1 месяц, 3 недели
We are proud to announce the 1st Unconstrained Ear Recognition Challenge (UERC) that will be organized in the scope of the 2017 International Joint Conference on Biometrics (IJCB 2017). The goal of the challenge is to advance the state-of- technology in the field of automatic ear recognition, to provide participants with a challenging research problem and introduce a benchmark dataset and protocol for assessing the latest techniques, models, and algorithms related to automatic ear recognition.

Kaggle: Two Sigma Connect Rental Listing Inquiries

8 февраля 2017 — 25 апреля 2017
Осталось 2 месяца
Finding the perfect place to call your new home should be more than browsing through endless listings. RentHop makes apartment search smarter by using data to sort rental listings by quality. But while looking for the perfect apartment is difficult enough, structuring and making sense of all available real estate data programmatically is even harder. Two Sigma and RentHop, a portfolio company of Two Sigma Ventures, invite Kagglers to unleash their creative engines to uncover business value in this unique recruiting competition.

Global Energy Forecasting Competition 2017

14 октября 2016 — 15 мая 2017
Осталось 2 месяца, 3 недели
Emerging technologies, such as microgrids, electric vehicles, rooftop solar panels and intelligent batteries, are challenging the traditional operational practices of the power industry. While uncertainties on the demand side are pushing the operational excellence toward the edge of the grid, probabilistic load forecasting at various levels of the power system hierarchy is becoming increasingly important. GEFCom2017 will bring together state-of-the-art techniques and methodologies for hierarchical probabilistic energy forecasting. The competition features a bi-level setup: a three-month qualifying match that includes two tracks, and a one-month final match on a large-scale problem.

Kaggle: Google Cloud & YouTube-8M Video Understanding Challenge

15 февраля 2017 — 2 июня 2017
Осталось 3 месяца, 1 неделя
Video captures a cross-section of our society. And major advances in analyzing and understanding video have the potential to touch all aspects of life from learning and communication to entertainment and play. In this competition, Google is inviting the Kaggle community to join efforts to accelerate research in large-scale video understanding, while giving participants early access to the Google Cloud Machine Learning (Cloud ML) beta platform.

Fake News Challenge

1 февраля 2017 — 2 июня 2017
Осталось 3 месяца, 1 неделя
The goal of the Fake News Challenge is to explore how artificial intelligence technologies, particularly machine learning and natural language processing, might be leveraged to combat the fake news problem. We believe that these AI technologies hold promise for significantly automating parts of the procedure human fact checkers use today to determine if a story is real or a hoax.

DrivenData: DengAI Predicting Disease Spread

1 января 2017 — 22 декабря 2017
Осталось 10 месяцев
Accurate dengue predictions would help public health workers ... and people around the world take steps to reduce the impact of these epidemics. But predicting dengue is a hefty task that calls for the consolidation of different data sets on disease incidence, weather, and the environment.