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TeslaML: Steering Machine Learning Automatically in Tencent

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Web and Big Data (APWeb-WAIM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10367))

Abstract

In this demonstration, we showcase TeslaML, the machine learning (ML) platform in Tencent Inc. TeslaML offers an interactive and visual workspace for users to create an ML pipeline via dragging, placing, and connecting the implemented modules. For the non-experts, TeslaML provides many ready-to-use ML modules to build an ML pipeline without any programming. Besides, TeslaML abstracts many existing ML systems as system modules. The integration of various systems enables the experienced users to use their preferred systems, to test new algorithms, and to obtain the most efficient execution. Furthermore, TeslaML provides many schedulers to meet different scheduling requirements.

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Acknowledgements

This research is supported by the National Natural Science Foundation of China under Grant No. 61572039, 973 program under No. 2014CB340405, Shenzhen Gov Research Project JCYJ20151014093505032, and Tecent Research Grant (PKU).

Author information

Authors and Affiliations

  1. Key Lab of High Confidence Software Technologies (MOE), School of EECS, Peking University, Beijing, China

    Jiawei Jiang & Bin Cui

  2. Tencent Inc., Shenzhen, China

    Jiawei Jiang, Ming Huang & Jie Jiang

Authors
  1. Jiawei Jiang
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  2. Ming Huang
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  3. Jie Jiang
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  4. Bin Cui
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Corresponding author

Correspondence to Jiawei Jiang .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China

    Lei Chen

  2. Computer Science, Aarhus University, Aarhus N, Denmark

    Christian S. Jensen

  3. Computer Science, University of Southern California, Los Angeles, California, USA

    Cyrus Shahabi

  4. Northeastern University , Shenyang, China

    Xiaochun Yang

  5. Kent State University, Kent, Ohio, USA

    Xiang Lian

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Jiang, J., Huang, M., Jiang, J., Cui, B. (2017). TeslaML: Steering Machine Learning Automatically in Tencent. In: Chen, L., Jensen, C., Shahabi, C., Yang, X., Lian, X. (eds) Web and Big Data. APWeb-WAIM 2017. Lecture Notes in Computer Science(), vol 10367. Springer, Cham. https://doi.org/10.1007/978-3-319-63564-4_26

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  • DOI: https://doi.org/10.1007/978-3-319-63564-4_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63563-7

  • Online ISBN: 978-3-319-63564-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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