Next Meetup

Introduction to Modern Machine Learning Techniques
Introduction to Modern Machine Learning Techniques The tutorial describes fundamental concepts of machine learning algorithms and covers key elements of training powerful predictive models. We will discuss overfitting, hyper-parameter tuning, cross validation, regularization, feature engineering, information leakage and ensemble modeling. You will learn how to train and tune modern machine learning techniques such as gradient boosting, neural nets, and random forests, and how to interactively build machine learning pipelines. Speaker Bio: Funda Guneş does research and implements new data mining and machine learning approaches for SAS visual Data Mining and Machine Learning. Her experience and research interests include combining well-established statistical methods with algorithm-based models, assessment and validation of machine learning models, efficient feature engineering techniques, regularization in machine learning algorithms, stacked ensemble models, and Bayesian statistical modeling. Through her work at SAS, she has given expository talks on new machine learning and data science techniques both internally and externally at major machine learning conferences, written technical papers and blog posts, and created short videos. In addition to machine learning, she is also an experienced statistician in clinical trials, survival analysis, mixed models, and longitudinal data analysis. Funda holds a PhD degree in Statistics from North Carolina State University. DIRECTIONS and INSTRUCTIONS: The MeetUp will be held in Building F, Room F101, which is in the training center on the SAS Campus. Here is a map to the SAS campus (https://dl.dropboxusercontent.com/u/103882174/CaryCampusMap.pdf). Parking is directly behind the building. Overflow parking is available in front of Building H (across the street from Building F). When you RSVP you will be asked to provide your first AND last name for SAS Security. SAS security will only allow people pre-registered to enter the campus. At the gate, give them your name and then follow the directions on the map to arrive at Building F. It is the first building on the right.

SAS

200 SAS Campus Dr. · Cary, NC

Respond by: 9/30/2018

What we're about

Are you a woman interested in Machine Learning and Data Science? We meet to socialize and to discuss machine learning and data science in an informal, vendor-neutral setting. Our purpose is to grow the talent and community of women in these fields. We plan to meet quarterly in the evenings. Topics will include presentations from practitioners about their work in machine learning and data science, talks from academics about their related research, and tutorials. Whether you've been working in these fields for years or are just getting started please join us!

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