Machine Learning Simplified from Ideation to Deployment in Minutes with Automated Machine Learning
💻 Abstract:
Artificial intelligence (AI) has become the hottest topic in tech. Executives, analysts, engineers, and developers all want to leverage the power of AI to gain better insights and make better predictions. But machine learning requires advanced data science skills that are hard to come by. Automated ML is an emerging field that helps developers and new data scientists build ML models without understanding the complexity of algorithm selection and hyperparameter tuning. This session shows you how to train a high-quality model with Azure Machine Learning automated ML by supplying only a dataset and a few configuration parameters.
🔊 Speaker Bio:
Aniththa Umamahesan, Program Manager, Microsoft
Is a Program Manager on the Microsoft Azure Machine Learning team. Her latest mission is accelerating and democratizing Artificial Intelligence via Automated Machine Learning.
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Timestamps:
0:00 Intro
0:42 Introducing Aniththa
3:05 Agenda
Data Science will touch every industry
3:48 Machine Learning Process
4:35 Where Automated Machine Learning comes in
5:25 Goal of automated ML
6:18 What automated ML does
7:48 Behind the scenes of launching an automated ML run
8:54 Capabilities of supported data
12:13 Interoperability
Azure Machine Learning Studio
14:43 Walkthrough of the studio
16:31 Demo: First Lab
❓ Q&A I ❓
25:29 If you want to clarify the time series, which option is better?
25:59 How do you call the model from a user interface?
26:28 What's the best way to import a large data set into Azure?
Azure Machine Learning Studio
27:35 Demo: Second Lab
❓ Q&A II ❓
37:15 Links
37:38 Can we use Azure Data bricks in Spark?
38:50 When you use a notebook, are you training the model on the notebook or calling an API and executing it in the cloud?
39:48 Are evaluation metrics like ROC and confusion matrix available?
40:54 Are there any tutorials on how to train locally?
42:42 Does Azure have online tutorials on auto ml workflow?
43:26 Can a cost table be applied to the confusion matrix?
43:45 Can you share your views and plans for drag and drop?
44:22 Can I get code after creating a model using drag and drop?
45:00 Closing Remarks