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Much of our support comes from the active NYC Data Science communities and individuals and NYC Data Science Academy which teaches high quality R classes in beginner, intermediate and advanced levels. You can sign up its courses at http://nycdatascience.com/courses/ .

Press inquiries, event space, food and drink sponsorship are welcome! please contact info@nycdatascience.com

Blog: http://nycdatascience.com/category/meetup/

Twitter: @nycdatasci (https://twitter.com/NYCDataSci)

HashTag: #DiveIntoData

Upcoming events (3)

Visualizing Information Like a (Designer) Data Scientist

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Join us on |Tuesday, July 5 at 5 PM | to learn how to visualize information like a data scientist. No coding, statistical, machine learning, or visualization experience is required to attend.

About this event
One of the most important skills of a data scientist is properly communicating concepts. Perhaps, the best way is through visualizations. In this webinar, we will look at multiple types of visualizations and analyze why some work and others do not. This will include an explanation of when to use specific types of visualizations, what are important features to consider when creating them, and best practices in designing them.

Agenda:
5:00 - 5:15 PM - NYC Data Science Academy Overview
5:15 - 5:50 PM

  • What is a good visualization?
  • How to decide which visualization to use
  • Best practices when creating visualizations
  • Creating a great visualization

5:50 - 6:00 PM - Q&A

Vivian is the CTO and School Director of NYC Data Science and CTO of SupStat. With her extensive experience working in the data science field, she developed expertise in multiple programming languages, including R, Python, Hadoop, and Spark. In August 2016, Forbes ranked her amongst one of the nine women leading the pack in the data analytics field, In 2013, she founded the NYC Open Data Meetup group, which stands as one of the largest data science communities offering meetups, conferences, and a weekly newsletter. In her spare time, Vivian enjoys meeting people and sharing her motivational stories with our students and other professionals.

About NYC Data Science Academy

NYC Data Science Academy provides data science training programs and courses that prepare people for employment opportunities for data science professionals across all industries.

NYCDSA teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. We have graduated over 5000 students at this point!

Join our Interactive Distance / In-Person Learning Bootcamp, and get ready for the next step in your data science career!

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What is End-to-End Machine Learning and why do I need it?

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Join us on | Tuesday, July 12th at 5 PM| to learn more about data science with machine learning. Why machine learning is needed, and what are the benefits of the system.

About This Event:
One of the most frustrating problems in data science is when one builds a model and has it sit on the shelf unused for years. To overcome this problem, machine learning needs to shift from building bespoke models that can solve issues to building machine learning systems. These systems can serve as a factory floor to build a multitude of models that can scale to production workloads. An apt term for this change is the development of end-to-end machine learning systems. These systems contain many elements that fall under MLOps but still include data science, data engineering, and other specializations. We will go over why this trend is needed, what parts make up a complete end-to-end machine learning system, and what are the benefits of the system.

Agenda:

  • What problems drive End-to-End machine learning models?
  • The parts that make up a complete end-to-end machine learning system.
  • The benefits of making a machine learning system rather than a bespoke model for each problem.

About Glen Ferguson
Glen is a Data Scientist/Machine Learning Engineer, technology leader, and technical expert with proven career progression through various roles, He has extensive experience in data science, analytics, data engineering, machine learning, artificial intelligence, and scientific computational modeling. This experience spans various organizations, including consulting organizations, start-ups, enterprises, the U.S. Navy, and academic settings.

About NYC Data Science Academy
NYC Data Science Academy provides data science training programs and courses that prepare people for employment opportunities for data science professionals across all industries.

NYCDSA teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. We have graduated over 5000 students at this point!

Join our Interactive Distance / In-Person Learning Bootcamp, and get ready for the next step in your data science career!

Data Boards: A Collaborative and Interactive Space for Data Science

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Unleashing the full potential of data and AI requires a paradigm shift in the algorithms and tools used to analyze data and build models towards more interactive systems with highly collaborative and visual interfaces. Ideally, data scientists and domain experts should be able to closely work together and make discoveries together by directly manipulating, analyzing and visualizing data on the spot as a team, instead of having week-long forth-and-back interactions between them.

Current visualization and workflow tools are ill-suited for this purpose. They were not designed to be interactive nor to support teams to actually work together rather than just share final results. Similarly, most machine learning algorithms are not able to provide initial answers at "human speed" (i.e., seconds), nor are existing methods sufficient to convey the impact of the various risk factors, such as multi-hypothesis problems. Finally, most visual data exploration tools still fail when used over large datasets or require horrendous loading times before any real-work can begin.

Join us on August 9th from 5-6 PM EST, to learn how Northstar, a novel system developed for Interactive Data Exploration, required us to completely rethink the entire analytics stack.

Agenda:
5:00 - 5:15 PM: NYCDSA Introduction
5:15 - 5:50 PM: Northstar (A Novel System) Presentation
5:50 - 6:00 PM: Q&A

Bio:
Tim Kraska is an Associate Professor of Electrical Engineering and Computer Science in MIT's Computer Science and Artificial Intelligence Laboratory, co-director of the Data System and AI Lab at MIT (DSAIL@CSAIL), and co-founder of Einblick Analytics. Currently, his research focuses on building systems for machine learning, and using machine learning for systems to build instance-optimized systems. Tim is most known for developing techniques to make Data Science more interactive and collaborative, and creating the first Learned Index structure and Learned Query Optimizer.

About NYC Data Science Academy

NYC Data Science Academy provides data science training programs and courses that prepare students to use data science tools and apply them to real-world situations.

NYCDSA teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. We have graduated over 5000 students at this point!

Join our Interactive Distance / In-Person Learning Bootcamp, and get ready for the next step in your data science career! (https://nycdatascience.edu/data-science-bootcamp/)

Past events (49)

Open House | NYC Data Science Academy

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