What is a scientific data platform? What are the data science platforms?

Updated on technology 2024-02-18
4 answers
  1. Anonymous users2024-02-06

    Data science platform Kesai.com (announced that due to the company's strategic upgrade, the brand was officially renamed "Hejing Technology", focusing on providing enterprises with data and AI transformation solutions. As a basic service company in the field of data analysis and artificial intelligence, the brand renewal of Kesai.com has undoubtedly injected fresh vitality into the artificial intelligence and big data industry this winter.

    According to relevant reports from data businessmen, Kesai.com, established in 2015, is one of the earliest data science platforms in China. From the launch of China's data scientist community against Kaggle, the gathering of data science talents who were first involved in this field, to the introduction of the Jupyter notebook paradigm, and the integration of Docker and Kubernetes containerization technology, the development of the best data science development tool Kescilab, quickly filled the gap in the field of data and AI transformation in China.

    In July 2017, Kesai.com received a joint investment from Linear Capital and Yiling Capital, a professional investment institution in the field of AI, and Fan Xiangwei, the founder & CEO, was also listed on the Forbes 30 under 30 elite list (30 under 30 elites) on August 2, 2018. At the same time, in the two years since its launch, KesciLab, the "data science platform" of Hejing, has been recognized by data scientists and some universities, scientific research institutions and enterprises, and the School of Software of Tsinghua University has used K-Lab as an exclusive teaching platform in the field of data science. It can also be seen from the ecological map of the artificial intelligence industry compiled by data businessmen that China already has many strong brands in the field of "data science platform" to participate in international competition, and Hejing is one of them.

  2. Anonymous users2024-02-05

    Tianchi: Tianchi Big Data Competition is a high-end algorithm competition hosted by Alibaba for the new generation of global forces.

    JD JDat: JD JData is a smart platform under JD.com, which provides big data competitions, first-class data analysis and processing tools, and data science communities. The questions of this platform come from the jdata algorithm competition hosted by JD.com, and the direction of the questions is mainly e-commerce logistics and life applications.

    Biendata: It is an artificial intelligence competition platform founded by Beijing Digital Competition Technology, through which users can register and participate in various competitions in the field of artificial intelligence.

    Datafountain: It is a leading data competition service platform and data intelligence collaborative innovation platform in China, aiming to form a professional growth link for big data enthusiasts around collaboration, data, knowledge and skills.

    Founded in 2015, Heywhale Community (formerly known as "Kesai.com") is one of the well-known third-party data science communities in China, and one of the earliest platforms focusing on big data algorithm competitions.

    FlyAI: It is a one-stop service platform for AI developers to provide data competitions and support GPU offline training, providing free open-source algorithm samples of the project every week, supporting the realization of algorithm capabilities and rapid iterative algorithm models.

    Datacastle Data Castle: Datacastle Data Science Learning Community is affiliated to Chengdu Data Castle Technology Co., Ltd., which is a data geek circle created by Zhou Tao of the University of Electronic Science and Technology of China, which gathers global data elites, leading data science thinking and wisdom, and high-quality data resources in various industries. (Newcomer friendly).

    PaddlePaddle AI Studio: PaddlePaddle AI Studio is an artificial intelligence learning and training community based on the deep learning platform PaddlePaddle, which is divided into PaddlePaddle Competition, Paddle Regular Season, and Newcomer Practice Competition.

    HUAWEI CLOUD: Strictly speaking, HUAWEI CLOUD is more like a comprehensive developer competition platform, and only serves the Huawei Group's own business, and the competition covers machine learning software development, hardware development, system development, industrial Internet and many other directions.

    AMARS Data Science Platform: MARS Big Data Service Platform is a professional competition platform and big data open service platform created by the Southern Digital Operations Research and Research Institute (hereinafter referred to as the Southern Digital Research Institute) under the guidance of the Jiangsu Qingyi Provincial Big Data Alliance.

    There are also other platforms: Lanting, Shuruisi and other platforms.

  3. Anonymous users2024-02-04

    DataCastle: Datacastle is a data science competition platform that offers data competitions and challenges that allow data scientists and analysts to showcase and improve their skills in real-world problems.

    DataCanvas: DataCanvas is an enterprise-level data science platform that helps users discover insights and value from data, and conduct data mining and analysis.

    Mopu Technology: Mopu Technology provides data analysis and mining platforms and tools to help enterprises achieve data-driven decision-making.

    DataStory: DataStory is a company that provides data intelligence and visualization products, and its DataStory platform supports data exploration and storytelling.

    Digital Oriental: Digital Oriental is a company that provides data science and artificial intelligence technology, and its data science platform covers functions such as data mining, analysis, and modeling.

    Shenzhen Institute of Data Science (SSRI): Shenzhen Institute of Data Science is a data science research institution supported by Shenzhen, dedicated to promoting the development and application of data science in Shenzhen.

    These are just a few of the data science platforms in China.

  4. Anonymous users2024-02-03

    Nowadays, there are many data platforms, and basically every Internet financial company has its own data platform.

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