What we're about

This group aims to gather people who are interested in using educational data mining and learning analytics to improve the quality education we are providing.

Upcoming events (4)

Data and Tech for Longevity: An Introduction

27 E 28th St

Please sign-in at the front door. This meetup will start with a high-level overview of aging: 1. Why aging? 2. What happens to you as you age? 3. Does every species experience aging or is it just us? 4. [How you are (most likely) going to die]....you’re welcome. 5. How is all this happening — what’s making you age anyway? 6. Can’t anyone stop this aging business? Next, we will discuss some high-level approaches to ending aging and extending life, the role of AI/tech in longevity, why now is the best time to get started, and what you can do about it (you can help and you can help in a big way). Shreya will then discuss her motivation for starting MoreLife (https://www.morelife.tech/) and explain how you can work on interesting data and engineering projects to help solve one of the biggest problems impacting humankind. We are now at a juncture in the aging field: year over year, there is an exponential increase in data availability, but not necessarily in the availability of data scientists, artificial intelligence practitioners, software engineers, data engineers, machine learning experts, and more. The goal of MoreLife is to bridge this gap between aging research labs and data science / machine learning / engineering expertise. MoreLife is made up of two groups: experts and volunteers. Experts from the aging sector share a list of problems that are slowing them down. Volunteers, then, try to help eliminate these problems. MoreLife is inspired by researchers in aging and longevity, folks in tech who dedicate their free time to meaningful projects, and philosophers behind efforts such as DataKind, Code for America, Scikit-Learn and many others. Check out the meetup here: https://www.meetup.com/Data-Tech-for-longevity/ Shreya's background is in Math and Physics. She has over a decade of experience in data science, data strategy, and data products. She has worked in finance, edtech, civictech, and more. She also has her own data consulting company, under which she consults with edtech organizations, schools, districts, and cities on effectively using their data. She has recently started MoreLife, which is a result of one of her deepest yearnings: for humankind to have an option to live longer and healthier. The mission of MoreLife is to build a network that can help accelerate breakthroughs in aging and longevity. SCHEDULE 6:00-6:30pm Networking 6:30-7:30pm Talk 7:30-8:00pm Networking About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

AMA Ask Me Anything About Transitioning to Data Science from Academia

NOTE: This is a live "Ask Me Anything" within the Metis Community Slack channel. To join, apply at the link below. http://bit.ly/MetisCommunitySlack Once you're in, join the #general channel and ask away! Looking to make the switch from academia to data science but not sure where to start? Join us to learn more about one Metis instructor's journey and how you, too, can evolve your career in this "Ask Me Anything." Kimberly Fessel is a bootcamp instructor at Metis's New York campus. Prior to joining the Metis team, she worked in digital advertising where she used natural language processing techniques to help clients better understand and enhance communication with their customers. Kimberly made the transition to data science following her role as a postdoctoral fellow at the Ohio State University. She holds a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute where she studied the nonlinear fluid-solid dynamics of the cochlea. She strongly believes that skills learned as an academic help strengthen careers in data science, including research experience, communication ability, as well as drive and determination. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

Livestream: Deep Learning Model as a Web Microservice Use Model Asset Exchange

This event will be Livestream here: https://livestream.com/accounts/23925505/events/8690257 Powering your application with deep learning is no walk in the park, but is certainly attainable with some tricks and good practice. Serving a deep learning model on a production system demands the model to be stable, reproducible, capable of isolation and to behave as a stand-alone package. One possible solution to this is a containerized microservice. Ideally, serving deep learning microservices should be quick and efficient, without having to dive deep into the underlying algorithms and their implementation. Too good to be true? Not anymore! Together, we will demystify the process of developing, training, and deploying deep learning models as a web microservice using Model Asset Exchange, an open source framework developed at the IBM Center for Open Source Data and AI Technologies (CODAIT). We will kick off with an overview of how deep learning models are best published as Docker Images on DockerHub, and are best prepared for deployment in local or cloud environments using Kubernetes or Docker. We highlight the following benefits of such an approach: Standardized REST API implementation and application-friendly output format (JSON) Abstracting out the complex pre and post-processing portions of the model inputs and outputs. We will walk you through some super cool applications such as automatic image cropping, age estimation from videos/webcam and Veremin - a video theremin. All these applications and the framework itself are open source and we conclude by inviting contributions and opening the gates for you to be a part of this amazing initiative! Saishruthi Swaminathan is a developer advocate and data scientist in the IBM CODAIT team whose main focus is to democratize data and AI through open source technologies. She has a Masters in Electrical Engineering specializing in Data Science and a Bachelor degree in Electronics and Instrumentation. Her passion is to dive deep into the ocean of data, extract insights and use AI for social good. Previously, she was working as a Software Developer. On a mission to spread the knowledge and experience, she acquired in her learning process. She also leads education for rural children initiative and organizing meetups focussing women empowerment. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel!Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

Livestream: Power of Workflows: A Problem Well-Stated is a Problem Half-Solved

This event will be Livestreamed here: https://livestream.com/accounts/23925505/events/8689205 Data Science is a field with immense breadth and depth. As our toolkit grows and we learn how to chain models and pipelines together, there's no limit to the time and complexity we can devote to over-engineering a solution. In my role as a data science instructor at Metis, and during my tenure at Microsoft before that, I've observed time and again that many data scientists seem to be much better at learning algorithms and software libraries than they are at identifying good business cases to solve, and designing workflows that will enable them to work productively from start to finish. In this workshop I share a user-focused design approach to building an end-to-end minimum viable product for any data science project. By asking and answering the right questions at the start of any new project, we can set a course that points to clear choices for the design decisions we face along the way. I teach this in the context of building a music genre classification model that can be used to generate playlists from text descriptions. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

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