In this podcast episode, we talked with Isabella Bicalho about Career recommendation, studying, and featuring women in ML and AI.
During this occasion, the visitor mentioned her transition into machine studying, her freelance work in AI, and the rising AI scene in France. She shared insights on freelancing versus full-time work, the worth of open-supply contributions, and growing each technical and gentle abilities. The dialog additionally lined profession recommendation, mentorship, and her Substack collection on women in knowledge science, emphasizing management, motivation, and profession alternatives in tech.
0:00 Introduction
1:23 Background of Isabella Bicalho
2:02 Transition to machine studying
4:03 Study and work expertise
5:00 Living in France and language studying
6:03 Internship expertise
8:45 Focus areas of Inria
9:37 AI growth in France
10:37 Current freelance work
11:03 Freelancing in machine studying
13:31 Moving from analysis to freelancing
14:03 Freelance vs. full-time knowledge science
17:00 Finding first freelance consumer
18:00 Involvement in open-supply initiatives
20:17 Passion for open-supply and teamwork
23:52 Starting new initiatives
25:03 Community challenge expertise
26:02 Teaching and studying
29:04 Contributing to open-supply initiatives
32:05 Open-source instruments vs. initiatives
33:32 Importance of neighborhood-pushed initiatives
34:03 Learning assets
36:07 Green area segmentation challenge
39:02 Developing technical and gentle abilities
40:31 Gaining insights from business consultants
41:15 Understanding knowledge science roles
41:31 Project challenges and group dynamics
42:05 Turnover in open-supply initiatives
43:05 Managing expectations in open-supply work
44:50 Mentorship in initiatives
46:17 Role of AI instruments in studying
47:59 Overcoming studying challenges
48:52 Discussion on substack
49:01 Interview collection on women in knowledge
50:15 Insights from women in knowledge science
51:20 Impactful tales from substack
53:01 Leadership challenges in initiatives
54:19 Career recommendation and alternatives
56:07 Motivating others to step out of consolation zone
57:06 Contacting for substack story sharing
58:00 Closing remarks and connections
🔗 CONNECT WITH ISABELLA BICALHO
Github: github https://github.com/bellabf
LinkedIn: https://www.linkedin.com/in/isabella-frazeto/
X: https://x.com/bisnotforbella
substack/publication https://datalike.substack.com/
🔗 CONNECT WITH DataTalksClub
Join DataTalks.Club: https://datatalks.club/slack.html
Our occasions: https://datatalks.club/events.html
Datalike Substack – https://datalike.substack.com/
LinkedIn: https://www.linkedin.com/company/datatalks-club/
X: https://x.com/DataTalksClub
Website: https://datatalks.club/
Free ML engineering course: https://github.com/DataTalksClub/machine-learning-zoomcamp
🔗 CONNECT WITH ALEXEY
X: https://x.com/Al_Grigor
LinkedIn: https://www.linkedin.com/in/agrigorev/
🎙 ABOUT THE PODCAST
At DataTalksClub, we manage reside podcasts that function a various vary of company from the information subject. Each podcast is a free-kind dialog guided by a ready set of questions, designed to study in regards to the company’ profession trajectories, life experiences, and sensible recommendation. These insightful discussions draw on the experience of information practitioners from varied backgrounds.
We stream the podcasts on YouTube, the place every session can be recorded and printed on our channel, full with timestamps, a transcript, and necessary hyperlinks.
You can entry all of the podcast episodes right here – https://datatalks.club/podcast.html
📚Check our free on-line programs
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Data Engineering course – https://github.com/DataTalksClub/data-engineering-zoomcamp
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Analytics in Stock Markets – https://github.com/DataTalksClub/stock-markets-analytics-zoomcamp
LLM course – https://github.com/DataTalksClub/llm-zoomcamp
Read about all our programs in one place – https://datatalks.club/blog/guide-to-free-online-courses-at-datatalks-club.html
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