English中文
PUT AI TO WORK
June 18-21, 2019
Beijing, CN

通过自动化机器学习民主化和加速AI落地 (Democratizing and accelerating AI through automated machine learning)

此演讲使用中文 (This will be presented in Chinese)

Henry Zeng (Microsoft), Lu Zhang (Microsoft), xiao zhang (Microsoft)
13:3017:00 Wednesday, June 19, 2019
Average rating: ****.
(4.00, 3 ratings)

必要预备知识 (Prerequisite Knowledge)

  • A basic understanding of the basic concepts and process of machine learning and deep learning
  • Experience building machine learning models
  • A working knowledge of Python on machine learning such as sklearn, TF, and Keras

您将学到什么 (What you'll learn)

  • Understand the process of ML flow and the current pain points of feature engineering, algorithm selection, and hyper-parameter tuning
  • Get started quickly using Python with AutoML
  • Learn how to use AutoML technology to automate the model training workflow based on sklearn and lightgbm for statistical learning
  • Use AutoML technology to autotune the hyper-parameters in deep learning models to reduce deep learning training pains, time, and cost
  • Learn tips and best practices while conducting model training with AutoML
  • Review, deploy, and consume the model created by AutoML
  • Get an introduction to automated machine learning

描述 (Description)

Automated ML is based on a breakthrough from Microsoft’s Research Division. The approach combines ideas from collaborative filtering and Bayesian optimization to search an enormous space of possible machine learning pipelines intelligently and efficiently, serving essentially as a recommender system for machine learning pipelines. Similar to how streaming services recommend your next movie, automated ML recommends machine learning pipelines for datasets.

Just as important, automated ML is designed to not have to see or look at the customer data and accomplishes all this while preserving your and your customer’s privacy. Customer data and execution of the machine learning pipeline both live in the customer’s cloud subscription (or their local machine), which they have complete control of. Only the results of each pipeline run are sent back to the automated ML service, which then makes an intelligent, probabilistic choice of which pipelines should be tried next.
 
Lu Zhang, Henry Zeng, and Xiao Zhang explain how Microsoft is committed to democratizing AI through its products. By making automated ML available through the Azure Machine Learning service, Microsoft empowers your data scientists with a powerful productivity tool. The company is working on making automated ML accessible through PowerBI so that business analysts and BI professionals can take advantage of machine learning and incorporate it into other product channels to bring the power of automated ML to everyone. Focusing on the data science and artificial intelligence theme, Lu, Henry, and Xiao provide an overview of automated machine learning, key customer use cases, how it works, and how you can get started.

Photo of Henry Zeng

Henry Zeng

Microsoft

Henry Zeng is a principal program manager on the AI platform team at Microsoft, where he works with the engineering team, partners, and customers to ensure AzureML is the best ML platform in the cloud. He’s been in the AI and data area for more than 14 years in areas such as database, big data, machine learning, and deep learning. Previously, he was the lead AI solution architect at Microsoft China, where he worked with partners and customers to land AI solutions in manufactory, retail, finance, education, and public service. Henry holds an MS in computer science from Wuhan University.

Photo of Lu Zhang

Lu Zhang

Microsoft

Lu Zhang is a senior program manager from the AI platform team in the Microsoft Cloud and AI Group. Lu has been working in big data and AI for the past seven years as the product manager of the trustworthy data and data catalog services empowering tens of thousands users in Microsoft to make data-driven decisions. Her current focus is to build the best-in-class ML platform in Azure. Lu holds an MS in computer science from Tsinghua University.

Photo of xiao zhang

xiao zhang

Microsoft

Harper Zhang is a program manager from the Microsoft AI platform team. She works with customers, engineers, and partners to make Azure Machine Learning the best ML choice in the cloud. She holds an MS in communication engineering from Beijing University of Posts and Communications.

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