Data Science Video Series to get started with Machine Learning on Azure
Data science is about extracting knowledge from data. Data science is an important area of study because it is a tool that data scientists leverage to gain insights from data and prepare it for the machine learning modeling phase. By “doing data science”, data scientists actually apply techniques, such as data pre-processing and cleaning, feature engineering and descriptive statistics, to their data in order to understand it and start building AI solutions.
In this sense, data science has become an area of study that universities and companies should look at as a first step to start their machine learning journey:
You can read the full article here: https://techcommunity.microsoft.com/t5/educator-developer-blog/data-science-video-series-to-get-started-with-machine-learning/ba-p/1521995
Additional resources:
- Video series GitHub repo: https://www.aka.ms/DevIntroDS_GitHub
- The Data Science Lifecycle: https://www.aka.ms/DataScienceLifecycle
- Algorithm Cheat Sheet: https://www.aka.ms/AlgorithmCheatSheet
- Automated Machine Learning: https://www.aka.ms/AutomatedML
- Azure Machine Learning service: https://www.aka.ms/AzureMLservice
- Auto ML Featurization : https://www.aka.ms/AutoMLfeaturization
- How to Select Machine Learning algorithms: https://www.aka.ms/SelectAlgos
- Model Interpretability: https://www.aka.ms/AzureMLModelInterpretability
More videos coming:
The month of July 2020 is Data month for the Microsoft Reactors global live streams on Twitch! For the middle two weeks of July, you will get to dive even deeper on these and similar concepts with Sarah, Francesca, and other Cloud Advocates and Microsoft employees!
