American Statistical Association
New York City
Metropolitan Area Chapter
American Statistical Association
Virtual Traveling Course
October 22 & 23, 2021
The New York Metro Area Chapter of the American Statistical Association
Is Pleased to Invite You to an American Statistical Association
VIRTUAL TRAVELING COURSE
INTRODUCTION TO DATA SCIENCE, MACHINE LEARNING AND DEEP LEARNING (IN R AND PYTHON)
HUI LIN (Google)
MING LI (Amazon)
AI has manifested itself in all areas of our lives and is one of the most exciting and fast-growing fields of research and application in the world of data science. This course will provide an overview of using R and Python for some of the most popular machine learning and deep learning models in real-world data science applications in the cloud environment. The sessions will step through the basic theoretical concepts behind those models and mainly focus on applications. You will learn the motivation and use cases of these models through hands-on exercises. This short course's main topics are: big data cloud environment, tree-based models, regularization methods, feedforward neural network, convolutional neural network, and recurrent neural network.
About the Instructors
This course is designed for audiences with a statistics education background, and it bridges the gap between traditional statisticians and data scientists. No software download or installation is needed, and everything is done through the internet browser with hands-on sessions in Databrick's cloud environment and Colab. This is a 7-hour remote course, and it will be delivered online with two 3.5-hour sessions on two consecutive days.
MING LI is currently a senior research scientist at Amazon and adjunct instructor of the University of Washington. He organized and presented the 2018 JSM Introductory Overview Lecture: Leading Data Science: Talent, Strategy, and Impact. He was the Chair of Quality & Productivity Section of ASA. With a few years' experience in data science and machine learning, he has trained and mentored numerous junior data scientists with diversified backgrounds such as statistician, software developer, database programmer, and business analyst. He is also an Instructor of Amazon's internal Machine Learning University and the recipient of Amazon's Best Science Mentor Award. He holds Ph.D. in Statistics from Iowa State University.
HUI LIN is currently a Quant Researcher at Google. Before Google, Hui held different roles in data science. She was the head of data science at Netlify, where she built and led the data science team, and a Data Scientist at DuPont, where she did a broad range of predictive analytics and market research analysis. She is the co-founder of Central Iowa R User Group, blogger of https://scientistcafe.com/, and 2018 Program Chair of ASA Statistics in Marketing Section. She enjoys making analytics accessible to a broad audience and teaches tutorials and workshops for data science practitioners. She holds MS and Ph.D. in statistics from Iowa State University.
|Friday, October 22, 2021, 4:00 - 7:00 PM (ET)
|Introduction to Data Sciences
|Cloud Platform and Big Data
|Big Data Hands-on
|Decision Tree Hands-on
|Saturday, October 23, 2021, 10:00 AM - 1:30 PM (ET)
|Feedforward Neural Network (FFNN)
|Convolutional Neural Network (CNN)
|Recurrent Neural Network (RNN)
Dates and Times
Friday, October 22, 2021, 4:00 P.M. - 7:30 P.M. (ET)
Saturday, October 23, 2021, 10:00 A.M. - 1:30 P.M. (ET)
Virtual Zoom Webinar
Zoom Link to Follow
NYC Metro Area Chapter Member: $30
New NYC Metro Area Chapter Member (Join Chapter at Time of Registration): $30
Nonmember of NYC Metro Area Chapter: $50
Event Registration Information & Online Registration Form
Instructions on How to Register for the Event as a New Chapter Member
If you are registering as a New Chapter Member and want to receive the Chapter Member rate,
please first complete the "Associate NYC Metro Area Chapter Membership Application" form at
Then, return to the "NYC Metro Area Chapter ASA Traveling Course Fall 2021" registration form at
Friday, October 15, 2021
Register early to be sure a spot is reserved for you.
There are no refunds but substitutions are allowed by sending an email to email@example.com.
Send an e-mail to firstname.lastname@example.org.
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