Контент предоставлен Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Stanford Women in Data Science (WiDS) initiative, Professor Margot Gerritsen, and Chisoo Lyons или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

Women in Data Science Worldwide « »
Applying topological data analysis and geometry-based ML

7M ago 28:24

MP3•Главная эпизода

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

Connect with Us

Margot Gerritsen on LinkedIn

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

53 эпизодов

#Science #Tech #Professor Margot Gerritsen #Wids #Data Science #Machine Learning #Deep Learning #Algorithms #Artificial Intelligence #Stanford #Women In Tech #Women In Data #Podcasting Education #Stanford Women in Data Science (WiDS) initiative #Cindy Orozco Bohorquez

Applying topological data analysis and geometry-based ML

Women in Data Science Worldwide

44 subscribers

published 7M ago

MP3•Главная эпизода

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:

Mentions:

Connect with Colleen Farrelly on LinkedIn

Connect with Us

Margot Gerritsen on LinkedIn

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

53 эпизодов

همه قسمت ها

Добро пожаловать в Player FM!

Player FM сканирует Интернет в поисках высококачественных подкастов, чтобы вы могли наслаждаться ими прямо сейчас. Это лучшее приложение для подкастов, которое работает на Android, iPhone и веб-странице. Зарегистрируйтесь, чтобы синхронизировать подписки на разных устройствах.

Слушайте шоу на 500+ тем

Похожие на Women in Data Science Worldwide

Подкасты, которые стоит послушать

Women in Data Science Worldwide « » Applying topological data analysis and geometry-based ML

Highlights:

About the Guest:

Mentions:

Related Links:

Connect with Us

Applying topological data analysis and geometry-based ML

Highlights:

About the Guest:

Mentions:

Related Links:

Connect with Us

Подкасты, которые стоит послушать

Добро пожаловать в Player FM!

Похожие на Women in Data Science Worldwide

Краткое руководство

Women in Data Science Worldwide « »
Applying topological data analysis and geometry-based ML