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İçerik Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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Applying topological data analysis and geometry-based ML

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Manage episode 402431875 series 2706384
İçerik Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

Highlights:

  • 00:02:25 - Colleen’s motivation for writing a book, interdisciplinary collaborations, and explaining advanced mathematical tools in accessible ways.
  • 00:08:44 - Journey from biology and social sciences to data science, and the integration of different mathematical tools in solving data problems.
  • 00:14:13 - Overcoming imposter syndrome and the value of exploring beyond one's field.
  • 00:15:02 - The importance of mentorship.
  • 00:23:40 - Coping strategies for setbacks in academia and industry.

About the Guest:

Colleen Farrelly is an author and senior data scientist. Her research has focused on network science, topological data analysis, and geometry-based machine learning. She has a master's from the University of Miami and has experience in many fields, including healthcare, biotechnology, nuclear engineering, marketing, and education. Colleen wrote the book, The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R.

Mentions:

Connect with Colleen Farrelly on LinkedIn

Related Links:

The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R

Connect with Us

Margot Gerritsen on LinkedIn

Listen and Subscribe to the WiDS Podcast on Apple Podcasts,Google Podcasts,Spotify,Stitcher

  continue reading

52 bölüm

Artwork
iconPaylaş
 
Manage episode 402431875 series 2706384
İçerik Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

Highlights:

  • 00:02:25 - Colleen’s motivation for writing a book, interdisciplinary collaborations, and explaining advanced mathematical tools in accessible ways.
  • 00:08:44 - Journey from biology and social sciences to data science, and the integration of different mathematical tools in solving data problems.
  • 00:14:13 - Overcoming imposter syndrome and the value of exploring beyond one's field.
  • 00:15:02 - The importance of mentorship.
  • 00:23:40 - Coping strategies for setbacks in academia and industry.

About the Guest:

Colleen Farrelly is an author and senior data scientist. Her research has focused on network science, topological data analysis, and geometry-based machine learning. She has a master's from the University of Miami and has experience in many fields, including healthcare, biotechnology, nuclear engineering, marketing, and education. Colleen wrote the book, The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R.

Mentions:

Connect with Colleen Farrelly on LinkedIn

Related Links:

The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R

Connect with Us

Margot Gerritsen on LinkedIn

Listen and Subscribe to the WiDS Podcast on Apple Podcasts,Google Podcasts,Spotify,Stitcher

  continue reading

52 bölüm

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