Treffer: Interactive Data Visualization with Python

Title:
Interactive Data Visualization with Python
Source:
2020
Publisher Information:
Packt Publishing; 2020
Added Details:
Sharath Chandra Guntuku Shubhangi Hora Anshu Kumar
Document Type:
E-Ressource Electronic Resource
Availability:
Open access content. Open access content
Note:
English
Other Numbers:
ESODI oai:odilo.es:00146453
1359427299
Contributing Source:
ODILO
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1359427299
Database:
OAIster

Weitere Informationen

e learning, and data visualization techniques to derive insights from heterogeneous genomics data on neurodegenerative diseases. Sharath Chandra Guntuku is a researcher in natural language processing and multimedia computing. He received his bachelor's degree in computer science from Birla Institute of Technology and Science, Pilani, India and his Ph.D. from Nanyang Technological University, Singapore. His research aims to leverage large-scale social media image and text data to model social health outcomes and psychological traits. He uses machine learning, statistical analysis, natural language processing, and computer vision to answer questions pertaining to health and psychology in individuals and communities. Shubhangi Hora is a Python developer, artificial intelligence enthusiast, data scientist, and writer. With a background in computer science and psychology, she is particularly passionate about mental health-related AI. Apart from this, she is interested in the performing arts and is a trained musician. Anshu Kumar is a data scientist with over 5 years of experience in solving complex problems in natural language processing and recommendation systems. He has an M.Tech. from IIT Madras in computer science. He is also a mentor at SpringBoard. His current interests are building semantic search, text summarization, and content recommendations for large-scale multilingual datasets.