成立于 2023 年,汇集了一支卓越的领导团队,都是行业资深人士,在数据科学、云基础设施和企业解决方案方面拥有数十年的综合经验。致力于将零散的数据管道转化为精简的决策智能,助力具有前瞻性思维的企业。在数据科学专业知识日益匮乏的时代,提供所需的解决方案和人才,帮助实现 AI 投资价值最大化。创新的平台以下一代数据基础架构为代理 AI系统提供支持,使团队能够在整个组织范围内大规模地整合洞察。专注于实时 ETL、跨平台数据同步和统一分析,旨在2025年及以后彻底改变企业数据利用方式。公司的客户持续报告其在关键绩效指标方面取得的显著提升,涵盖从运营效率到战略决策能力的各个方面:洞察速度加快65%,投资回报率提升3.5倍,数据利用率提高85%,成本降低40%
线上
8周
You'll collaborate with experienced data scientists and ML engineers while gaining practical experience with industry-standard frameworks like TensorFlow, PyTorch, and scikit-learn in a fast-paced business environment.
Model Development
● Work alongside our data science team to develop and optimize machine learning algorithms that power our predictive analytics solutions and recommendation systems.
Model Deployment
● Gain experience with MLOps practices and tools to deploy, monitor, and maintain machine learning models in production environments.
Feature Engineering.
● Learn to identify, extract, and transform critical data features that enhance model performance and accuracy for real-world business applications.
Performance Evaluation
● Contribute to rigorous testing and validation procedures to ensure models meet business requirements and performance benchmarks.
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