Tags: data science

All Categories (1-20 of 21)

  1. Hae Ji Kwon

    Hae Ji Kwon received AS in Engineering from Ivy Tech Community College. She is pursuing a BS in Engineering at Purdue University starting Fall 2020. Her interest is in Biomedical Engineering and...

    https://nanohub.org/members/288457

  2. Rebecca Mosier

    Rebecca Mosier is a second-year undergraduate student at Johns Hopkins University. Her majors are Biomedical Engineering and Applied Mathematics & Statistics. She is working on the Data-Driven...

    https://nanohub.org/members/288446

  3. Nathan Killoran

    Nathan holds a MSc in Mathematics from the University of Toronto and a PhD in Physics from the University of Waterloo. He specializes in quantum computing, deep learning, and quantum optics.

    https://nanohub.org/members/286348

  4. Hands-on Sequential Learning and Design of Experiments

    29 Apr 2020 | | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan

    This tutorial introduces the concept of sequential learning and information acquisition functions and how these algorithms can help reduce the number of experiments required to find an optimal candidate. A hands-on approach is presented to optimize the ionic conductivity of ceramic...

  5. Synthesis of Graphene by Chemical Vapor Deposition Part II: Data Science + Graphene Synthesis

    29 Apr 2020 | | Contributor(s):: Sameh H Tawfick

    Overall, these two lectures are meant to be a general introduction on the opportunities and challenges related to graphene synthesis.

  6. Repositories and Data Management (2nd offering)

    22 Apr 2020 | | Contributor(s):: Zachary D McClure, Alejandro Strachan

    This tutorial introduces database infrastructure and APIs for performing different scales of querying. You will learn how to access different suites of information from three prominent databases, and some advanced examples of data visualization and processing will be discussed. The Querying Data...

  7. Hands-on Data Science and Machine Learning Training

    21 Apr 2020 | | Contributor(s):: Alejandro Strachan, Saaketh Desai

    This series of hands-on tutorials is designed to jump start your use of data science and machine learning in research or teaching. This series will cover the following topics:Learn how to use Jupyter notebooks for your researchInteract with data repositories and manage...

  8. Repositories and Data Management (1st offering)

    21 Apr 2020 | | Contributor(s):: Zachary D McClure, Alejandro Strachan

    This tutorial introduces database infrastructure and APIs for performing different scales of querying. You will learn how to access different suites of information from three prominent databases, and some advanced examples of data visualization and processing will be discussed. The Querying Data...

  9. Introduction to Jupyter Notebooks, Data Organization and Plotting (1st offering)

    21 Apr 2020 | | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan

    This tutorial gives an introductory demonstration of how to create and use Jupyter notebooks. It showcases the libraries Pandas to manipulate and organize data with functionalities similar to those of Excel on python, and Plotly, a library used to create interactive plots for enhanced...

  10. Introduction to Jupyter Notebooks, Data Organization and Plotting (2nd offering)

    21 Apr 2020 | | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan

    This tutorial gives an introductory demonstration of how to create and use Jupyter notebooks. It showcases the libraries Pandas to manipulate and organize data with functionalities similar to those of Excel on python, and Plotly, a library used to create interactive plots for enhanced...

  11. Apr 13 2020

    Repositories and data management

    Topics covered in this session:Introduction to repository APIsQuerying and advanced plottingOrganizers: Alejandro Strachan, Saaketh DesaiLeader: Zachary McClureRegister for this seminarHands-on...

    https://nanohub.org/events/details/1846

  12. Apr 10 2020

    Repositories and data management

    Topics covered in this session:Introduction to repository APIsQuerying and advanced plottingOrganizers: Alejandro Strachan, Saaketh DesaiLeader: Zachary McClureRegister for this seminarHands-on...

    https://nanohub.org/events/details/1841

  13. Querying Data Repositories

    03 Apr 2020 | | Contributor(s):: Zachary D McClure, Alejandro Strachan

    Query database repositories using Python based APIs and tips for managing data

  14. Machine Learning Workshop for Materials Science

    27 Jan 2020 | | Contributor(s):: Saaketh Desai

    This workshop covers the fundamentals of machine learning and data science, with a focus on material science applications. This workshop includes a hands-on demonstration of the nanoHUB tool Machine Learning for Materials Science: Part 1.

  15. MSEML: Machine Learning for Materials Science Tool on nanoHUB

    27 Jan 2020 | | Contributor(s):: Saaketh Desai

    This talk is a hands-on demonstration using the nanoHUB tool Machine Learning for Materials Science: Part 1.

  16. Data Science and Machine Learning for Materials Science

    22 Jan 2020 | | Contributor(s):: Saaketh Desai

    This talk covers the fundamentals of machine learning and data science, focusing on material science applications. The talk is for a general audience, attempting to introduce basic concepts such as linear regression, supervised learning with neural networks including forward and back...

  17. Data Science and Machine Learning for MSE Students: introduction and Hands-on Activities

    10 Sep 2019 | | Contributor(s):: Alejandro Strachan, Juan Carlos Verduzco Gastelum, Saaketh Desai

    This document introduces basic concepts of data science and machine learning in the context of materials science applications. The focus is on hands-on activities where readers use open, online tools in nanoHUB to explore the concepts being introduced. Topics covered include querying data...

  18. Feb 25 2019

    Software Productivity and Sustainability for CSE and Data Science

    The SIAM CSE conference seeks to enable in-depth technical discussions on a wide variety of major computational efforts on large-scale problems in science and engineering, foster the...

    https://nanohub.org/events/details/1738

  19. Machine Learning for Materials Science: Part 1

    09 Feb 2019 | | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan, Saaketh Desai

    Machine learning and data science tools applied to materials science

  20. Amin Vakhshouri

    I am a solid-state physicist, specialized in design, fabrication and electronic characterization of advanced materials using transport and scanning probe microscopy techniques. My research involved...

    https://nanohub.org/members/73806