Co-authors: Min Shen, Chandni Singh, Ye Zhou, and Sunitha Beeram At LinkedIn, we rely heavily on offline data analytics for data-driven decision making. Over the years, Apache Spark has become the primary compute engine at LinkedIn to satisfy such data needs. With its unique features, Spark empowers many business-critical tasks at LinkedIn, including data...
Open Source Articles
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- Topics:
- Spark,
- infrastructure,
- Data,
- Open Source
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Our logo is inspired by the chameleon: You can enable personalization on your ranking model with GDMix, bringing a personalized experience to every user, like a chameleon that can match its surroundings. Co-authors: Jun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou, Alice Wu, Yunbo Ouyang, Jun Jia, Huiji Gao, and Bo Long Millions of members come to LinkedIn...
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Co-authors: Sriram Vasudevan, Cyrus DiCiccio, and Kinjal Basu At LinkedIn, our imperative is to create economic opportunity for every member of the global workforce, something that would be impossible to accomplish without leveraging AI at scale. We help members and customers make decisions by providing them with the most relevant insights based on the available...
- Topics:
- Spark,
- artificial intelligence,
- machine learning,
- Data,
- Open Source
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Co-authors: Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, and Bo Long Natural language processing (NLP) technologies are widely...
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Co-authors: Cong Gu, Abin Shahab, Chen Qiang, and Keqiu Hu Editor's note: This blog has been updated. LinkedIn AI has been...
- Topics:
- Hadoop,
- Security,
- Open Source
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Co-authors: Jun Shi, Mingzhou Zhou Introduction In the machine learning community, Apache Spark is widely used for data processing due...
- Topics:
- Spark,
- machine learning,
- TensorFlow,
- Data,
- Open Source