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Kandungan disediakan oleh Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.
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Applying topological data analysis and geometry-based ML

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Manage episode 402431875 series 2706384
Kandungan disediakan oleh Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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

53 episod

Artwork
iconKongsi
 
Manage episode 402431875 series 2706384
Kandungan disediakan oleh Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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

53 episod

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