From physics PhD to data science leader, unexpected challenges in survey data, Python vs R, EDA best practices, building MLOps toolkit - Julia Silge - The Data Scientist Show #087

The Data Scientist Show

Daliana Liu द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Daliana Liu या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।

11M ago 46:18

MP3•एपिसोड होम

Julia Silge is an engineering manager at Posit PBC, formerly know as R-studio, where she leads a team of developers building open source software MLOps. Before Posit, she finished a PhD in astrophysics, worked for several years in the nonprofit space, and was a data scientist at Stack Overflow where some of her most public work involved the annual developer survey. We talked about MLOps tools, challenges in survey data, text analysis, and balancing her interests in data science and engineering.

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(00:00:00) Introduction

(00:00:56) Getting into data science

(00:04:50) Transition from data centers to engineering manager

(00:14:04) Common challenges in tool development

(00:17:38) Challenges with survey data

(00:26:47) Engineering skills for data scientists

(00:28:59) Balancing roles

(00:34:49) Developing skills in Exploratory Data Analysis (EDA)

(00:39:19) Python vs. R for data analysis

(00:44:40) Exciting aspects in career and personal life

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