Community
Teams channel available!
- The Simplest Machine Learning (The AI Show - Mar 2018)
- Approaches for Sequence Classification on Financial Time Series Data (Conference Talk - Mar 2018)
- When And When Not To Use Deep Learning (The AI Show - Mar 2018)
- Interview with Rita Zhang, Principal Software Engineer (Youtube Video - Mar 2018)
- Interview with Lauren Tran, Software Engineer Focused on Machine Learning (YouTube Video - Mar 2018)
Intro to ML
- Introduction to Microsoft R Server: Session 4 Data Analysis and Modeling (Infopedia video - Dec 2016)
- Overview of Data Science (MVA Video - Dec 2015)
- The Data Science Process (MVA Video - Dec 2015)
- Introduction to Machine Learning (MVA Video - Dec 2015)
- Introduction to Data Science Technologies (MVA Video - Dec 2015)
Setting up your Environment
- Setting Up Azure Machine Learning (MVA Video - Dec 2015)
- Setting Up R (MVA Video - Dec 2015)
- Setting Up Python (MVA Video - Dec 2015)
Data Science Concepts
- Data Acquisition and Flow (MVA Video - Dec 2015)
- R and Python for Data Science (MVA Video - Dec 2015)
- Data Sampling and Quantization (MVA Video - Dec 2015)
- Data Cleansing and Transformation (MVA Video - Dec 2015)
ML Evaluation
- Building Models in Azure ML (MVA Video - Dec 2015)
- Model Evaluation and Comparison (MVA Video - Dec 2015)
- Regression Modeling (MVA Video - Dec 2015)
- Classification Modeling (MVA Video - Dec 2015)
- Unsupervised Learning Models (MVA Video - Dec 2015)
- Recommendation Models (MVA Video - Dec 2015)
- Introduction to Jupyter Notebooks (MVA Video - Dec 2015)
- Publishing Azure ML Models (MVA Video - Dec 2015)
- GitHub - Microsoft Data Science and ML Essentials (Hands on Labs - Jan 2017)
- Deep Learning on Azure (Docs library - Oct 2017)
R Server
- Introduction to Microsoft R Server
- Doing Scalable Data Science with HDInsight - Deep dive into R Server on HDInsight (Ready Session - Feb 2018)
ML Development
- Understanding Deep Neural Networks with Microsoft CNTK (Ready Session - Feb 2018)
- AI for .NET developers: Extend your .NET applications with AI, ML, and Deep Learning features (Ready Session - Feb 2018)
- Performance features in SQL Server Machine Learning Services (Ready Session - Feb 2018)
Docs & Gaps
- Content Mapper (Docs website)