Can you do UX Research on machine learning systems? Can you get feedback from real users before the AI has been built? Can you even test a machine learning system before you have a production-ready model? Read more ““ML + UX: Building Machine Learning Products for People” Lecture”
Can you do UX Research on machine learning systems? Can you get feedback from real users before the AI has been built? Can you even test a machine learning system before you have a production-ready model? Read more “Lecture by Michelle Carney of Google AI 4/21”
On January 27, 2021, from 4:00 to 5:00 PM, Dr. Yelena Yesha shared her definition of data science and addressed the current state of affairs in the field of data science. She spoke about exciting innovative projects at CARTA and IDSC that involve the data analytics, data science, and blockchain technology. And about her personal journey—how she got to be where she is and how she picked up the field of data science before it gained the prominence. Read more “Catch the Replay: Meet a Data Scientist with Yelena Yesha”
Offering a fascinating glimpse of the current AI and High-Performance capabilities at the University of Miami by traditional computational scientists, data scientists, or students just getting started, IDSC Advanced Computing Director Joel Zysman speaks speaks at Supercomputing 2019 on “Solving Tomorrow’s Problems Using IBM Storage Systems.” Read more “How the U is Solving Tomorrow’s Problems Today With IBM”
Big data, data analytics, advanced computing, and algorithms are rapidly and profoundly changing every sphere of human activity. Advanced computing gives us the ability to reliably and cost effectively store petabytes of data; and machine learning algorithms can crunch through massive datasets in real time to extract business intelligence and socially relevant information, giving firms new marketing tools, like mobile geo-social targeting.
Read more “Big Data, Business, and the Pandemic 12/3/2020”
Yelena Yesha, PhD, an award-winning researcher and technology industry leader, has joined IDSC as Chief Innovation Officer and Head of International Relations. She was also named Visiting Distinguished Professor in the Department of Computer Science. Read more “Yelena Yesha Joins UM as IDSC Chief Innovation Officer”
Chris Mader, IDSC Software Engineering Director will present an overview of the recent project to develop the xSAT eXperimental Situational Awareness Tool in a webinar on Tuesday, September 8, 2020, 3:00-4:00 PM on Zoom. Read more “xSAT COVID-19 Early Detection WEBINAR 9/8/2020”
Symmetry is a mathematical concept only partially explored in networks, especially at the applicative level. One reason is a certain lack of interpretable inference obtained from networks. While the network systemic associations (links) between entities (nodes) emerge from the underlying dependence structure, this latter is only partially explicit via the established direct interactors and remains to a certain extent latent (distant node predicted paths). Read more “Inference From Complex Networks: Role of Symmetry and Applicability to Images”
Please join us for a virtual presentation and Q&A with Dr. Nicholas Tsinoremas and Mr. Christopher Mader, who are developing an interactive geographic visualization alert system using Machine Learning algorithms to provide early warning for COVID-19 surveillance.
#PyDataMiami2020 has been postponed. PyData is a 2-day conference on tools and techniques for machine learning, data analysis, visualization, and large-scale data infrastructure. We are an accessible, community-driven conference with talks and tutorials for all skill levels: students, practitioners, and researchers. PyData focuses on open-source computational tools for the Python programming language (such as NumPy, Pandas, and scikit-learn), as well as implementation-agnostic techniques, and other high level numerical languages, such as R and Julia.
One of PyData’s goals is to increase awareness and excitement around opportunities for underrepresented groups in software engineering and data analytics. To increase diversity in scientific computing, our outreach program ranges from hosting workshops that introduce programming to young women to encouraging diversity in speakers at PyData.
For PyData Miami 2020, we are offering scholarship opportunities to those from underrepresented groups who may otherwise be unable to attend the conference.
Please note scholarships do not cover travel and lodging costs. Click HERE to submit an application.
PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. We aim to be an accessible, community-driven conference, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
April 23-24, 2020
University of Miami Coral Gables Campus
Fieldhouse / Multipurpose Room
1245 Dauer Drive, Coral Gables, FL 33146