首先,极狐GitLab 在 MLOps 领域的定位和目标是什么? 这里我们引用极狐 GitLab 官方的说法: Make GitLab the perfect companion for a Machine Learning Engineer or Data Scientist,and provide a better user experience for them across the entire Machine Learning life cycle (model creation, testing, deploymen...
Data Annotation (Committee pain point) Accessing and Managing Large Scale of Datasets in Generative AI Use Cases (Committee pain point) Improving ML Techniques Through Data Augmentation (Committee pain point) Continual Learning for Fine-Tuned Model to Adapt to the Growing (and Sometimes Drifting)...
首先,极狐GitLab 在 MLOps 领域的定位和目标是什么? 这里我们引用极狐 GitLab 官方的说法: Make GitLab the perfect companion for a Machine Learning Engineer or Data Scientist,and provide a better user experience for them across the entire Machine Learning life cycle (model creation, testing, deploymen...
人工智能变成现在最火的一个话题,在几年前我就已经参与过了一些AI医疗相关的工作,和很优秀的PHD data scientist 一起工作,在尝试人工智能医疗产品的研发,让我也有了一些思考,ML/AI 产品不仅只是AI algorithm,也有很多engineer的task需要参与,比如建立更完整的data pipeline, 人工智能算法的productionalize,deployment和...
Make GitLab the perfect companion for a Machine Learning Engineer or Data Scientist,and provide a better user experience for them across the entire Machine Learning life cycle (model creation, testing, deployment, monitoring, and iteration)让极狐GitLab 成为机器学习工程师和数据科学家的完美伙伴和工具...
Machine learning uses iterative mathematical functions instead of programmed instructions, so it's not unusual for an ML model’s performance to decline over time as new data is introduced. This phenomenon, which is known asmodel drift, requires continuous monitoring to ensure model outputs remain ...
Advice, Data Engineer, Data Engineering, Data Scientist, Deployment, DevOps, Machine Learning Engineer, MLflow, MLOps, ProductionWhat Does it Mean to Deploy a Machine Learning Model? - Feb 14, 2020.You are a Data Scientist who knows how to develop machine learning models. You might also be...
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— I am a DATA SCIENTIST & DATA ENGINEER having 6+ years of experience related to PYTHON Development, Machine Learning procedures, DevOps, MLOps, SQL, NO-SQL, Data Extraction/Scrapping, Data Analytics, Data Preparation/Pre-processing and Formatting/STORING the DATA into Required Formats. — Cur...