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Website tagsDataFountain、 DF platform 、 Data Science Competition、 Artificial Intelligence Teaching Laboratory、 ⼤ Data competition platform 、
Website descriptionDataFountain( Abbreviation DF Platform) is one of the leading innovation platforms for data science competitions in China, providing data competitions /AI Algorithm competitions, data sets, project training, online programming and other services.
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SEO information Visit from Baidu IP:- | Mobile visit IP:- | Outbound link: 2 | Site link: 21 IP Internet speed: IP Address: - Address: - | Internet speed: 983 milliseconds ALEXA Ranking World rankings:- | Estimate IP:- | Estimate PV:- Registration information - | name:- | Created: Unknown
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Website snapshotD a t a F o u n t a i n Data Science Competition Innovation Platform 2 0 2 5 Digital China Innovation Competition Million-One Prize Starts 2 0 2 4 W e b 3 . 0 Innovation Competition Shanghai & Hong Kong Double Division Six Tracks Chinese University of Hong Kong (Shenzhen) Joined Shenxianhu International Innovation and Entrepreneurship Competition D F , Become a data scientist!Register for learning and training projects. Immersive training practice, systematically improve core capabilities to challenge data competition. Win million awards, compete for global rankings and ask questions and share insights. . Dialogue with data scientists, colliding with new knowledge and spark exploration datasets. . Unique massive data, free download of daily new training to view all based on L G B Realize big data collision recognition in the Internet of Vehicles D C I C 2 0 2 1 based on L G B Realize big data collision recognition in the Internet of Vehicles D C I C 2 0 2 1 Category: #Exception Detection# Difficulty: Learn more about anomaly detection fraud detection Naive Bayes recommended data View all 2 T + Exclusive data 1 0 0 0 + Resource Publish 1 5 + New daily 2 0 1 9 C C F Big Data and Computing Intelligence Competition Qiao Dada2 0 9 8 6 1 6 1 7 3 3 C O V I D 1 9 / S A R S B Cell epitope prediction Yellow 3 3 9 6 6 8 7 1 8 1 Recipes with ratings and nutrition Nanyi1 3 5 4 1 1 2 1 2 5 0 Health Insurance Cross-Sales Forecast R i e e 1 0 5 7 6 1 7 5 1 7 Engineering Graduate Salary Forecast V i c k y 1 5 9 0 1 1 6 1 3 5 0 Review of Amazon Musical Instruments Strawberry Cute 8 4 3 2 3 8 5 Typical Q&A View all sharing insights with young data scientists, sharing the fun of growth and doing data analysis What are the commonly used visual charts listed in the advantages and disadvantages, applicable scenarios and applicable data of the 4 commonly used data visualization charts I usually use. I hope it can help you understand the data. T J B Fault warning question solution D F platform D C I C A question in the competition This question is provided by Zhongke Yungu Technology Co., Ltd. on the data related to the failure of a concrete piston in a certain type of concrete pump truck, including working time, engine speed, oil temperature, pressure and other types of working conditions, as well as the identification information of whether the piston is faulty in the process of completing a given workload (concrete pumping volume) in the future. It is hoped that participants will use big data analysis, machine learning, deep learning and other methods to extract appropriate features and establish appropriate fault prediction models, and then predict whether the piston will fail within a given workload in the future (pumping volume). v e v i v e What are the basic recognition methods of image recognition? The first is based on neural networks. The artificial neural network method realizes pattern recognition, which can handle some problems such as complex environmental information, unclear background knowledge, and unclear inference rules, allowing samples to have large defects and distortions. The disadvantage of the neural network method is that its model is constantly enriched and improved, and there are not enough pattern classes that can be identified. The neural network method allows samples to have large defects and distortions. It runs fast, has good adaptive performance, and has a high resolution. Hello, new friend!With 350,000 + Users, compete together, communicate, and collaborate immediately to join product and service cases to learn competitions, massive data sets, and community exchanges about us. D F Privacy Agreement Service Agreement FAQ Business Cooperation Business Manager: Teacher Lu Email: c o n t a c t @ d a t a f o u n t a i n . c n Consultation number: ( 0 1 0 ) 6 2 3 8 1 6 3 7 / 8 2 2 4 9 5 9 2 Conduct competition consultation WeChat official official account contest exchange group I want to hold competition announcement and lead the lead partner of China Computer Society O P P O Beijing Municipal Bureau of Economic and Information Technology Huawei State Power Investment Ant Financial State Grid Tencent China Meteorological Administration JD Aerospace Science and Technology Group Ping An Property Insurance Pengcheng Laboratory Tsinghua University Industrial Bank Renmin University of China Construction Bank Beijing University of Science and Technology Zhongyuan Bank Minjiang College C o p y r i g h t © 2 0 2 0 D a t a F o u n t a i n . A l l R i g h t R e s e r v e d Qingyan Lanting all rights reserved | Beijing I C P Preparation 2 0 2 4 0 9 2 2 7 7 No. 3 Beijing Public Security Network 1 1 0 1 0 8 0 2 0 2 5 6 2 2 Follow us Contact number: 0 1 0 6 2 3 8 1 6 3 7 / 0 1 0 8 2 2 4 9 5 9 2 Contact us Feedback Back to top
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