- Natural Language Processing with BERT
- ML Pipelines and ML Operations (MLOps)
- A/B Testing and Model Deployment
- Data Labeling at Scale
- Automated Machine Learning (AutoML)
- Statistical Data Bias Detection
- Multi-class Classification with FastText and BlazingText
- Data ingestion
- Exploratory Data Analysis
- ML Pipelines and MLOps
- Model Training and Deployment with BERT
- Model Debugging and Evaluation
Practical Data Science on the AWS Cloud 專項課程
Become a cloud data science expert. Develop and scale your data science projects into the cloud using Amazon SageMaker
提供方



您將學到的內容有
Prepare data, detect statistical data biases, perform feature engineering at scale to train models, & train, evaluate, & tune models with AutoML
Store & manage ML features using a feature store, & debug, profile, tune, & evaluate models while tracking data lineage and model artifacts
Build, deploy, monitor, & operationalize end-to-end machine learning pipelines
Build data labeling and human-in-the-loop pipelines to improve model performance with human intelligence
您將獲得的技能
關於此 專項課程
應用的學習項目
By the end of this Specialization, you will be ready to:
• Ingest, register, and explore datasets
• Detect statistical bias in a dataset
• Automatically train and select models with AutoML
• Create machine learning features from raw data
• Save and manage features in a feature store
• Train and evaluate models using built-in algorithms and custom BERT models
• Debug, profile, and compare models to improve performance
• Build and run a complete ML pipeline end-to-end
• Optimize model performance using hyperparameter tuning
• Deploy and monitor models
• Perform data labeling at scale
• Build a human-in-the-loop pipeline to improve model performance
• Reduce cost and improve performance of data products
對員工進行熱門技能培訓能否為您的公司帶來益處?
體驗 Coursera 企業版對員工進行熱門技能培訓能否為您的公司帶來益處?
體驗 Coursera 企業版專項課程的運作方式
加入課程
Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習,請直接註冊專項課程,或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時,您將自動訂閱整個專項課程。您可以只完成一門課程,您可以隨時暫停學習或結束訂閱。訪問您的學生面板,跟踪您的課程註冊情況和進度。
實踐項目
每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。
獲得證書
在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

常見問題
退款政策是如何规定的?
我可以只注册一门课程吗?
有助学金吗?
我可以免费学习课程吗?
此课程是 100% 在线学习吗?是否需要现场参加课程?
What is the Practical Data Science Specialization about?
What are the benefits of running data science projects in the cloud?
What will I learn in the Practical Data Science Specialization?
What will I be able to do upon completing the Practical Data Science Specialization?
What background knowledge is necessary for the Practical Data Science Specialization?
Who is the Practical Data Science Specialization for?
How long does it take to complete the Practical Data Science Specialization?
Who created the Practical Data Science Specialization?
Is this a standalone course or a Specialization?
How do I take the Specialization?
Do I need to take the courses in a specific order?
How much does the Specialization cost?
Can I apply for financial aid?
Can I audit the Practical Data Science Specialization?
How do I get a receipt to get this reimbursed by my employer?
I want to purchase this Specialization for my employees. How can I do that?
Will I receive a certificate at the end of the Specialization?
完成专项课程后我会获得大学学分吗?
還有其他問題嗎?請訪問 學生幫助中心。