11th Floor, No. 2 Jinhe Plaza,
88 Huachi Street, Industrial Park
在苏州的培训中心学习MLflow。The center of Jinhe Plaza is located at the core of Suzhou Industrial Zone, on the east bank of Jinji Lake. Jinhe Plaza is a comprehensive building, including high-end shopping malls, five-star hotels, international Grade A office buildings, and Regus is located on the eleventh floor of the building. As the most famous landmark in Suzhou Financial Center, with its advanced facilities and central location, it has attracted many Fortune 500 companies such as Nokia, Philips and 3M. Jinhe Plaza... 查看更多
工业园区 华池街 88号
晋合广场 2号 11楼
在苏州的培训中心学习MLflow。雷格斯晋合广场中心位于苏州工业区核心、金鸡湖东岸。晋合广场是一座综合型大楼，包括高档购物中心、五星级酒店、国际甲级办公楼等，而雷格斯位于大厦十一层。作为苏州金融中心最著名的地标性建筑，凭借其先进的设施和中心地理位置，吸引了众多世界500强公司，如诺基亚、飞利浦和3M等。 晋合广场可方便通往苏州各大核心区域。地铁1号线时代广场站位于大厦的地下层，而距离通往上海和南京的高铁站仅需5分钟车程 查看更多
苏州 - 晋合广场
This instructor-led, live training in (online or onsite) is aimed at data scientists who wish to go beyond building ML models and optimize the ML model creation, tracking, and deployment process.
By the end of this training, participants will be able to:
- Install and configure MLflow and related ML libraries and frameworks.
- Appreciate the importance of trackability, reproducability and deployability of an ML model
- Deploy ML models to different public clouds, platforms, or on-premise servers.
- Scale the ML deployment process to accommodate multiple users collaborating on a project.
- Set up a central registry to experiment with, reproduce, and deploy ML models.
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