Name: Women In Machine Learning and Data Science(WiMLDS) Lagos Conference- 2021
Start: 2021-07-31T11:00:00+01:00
End: 2021-07-31T15:00:00+01:00

Lagos WiMLDS is the local chapter of Women In Machine Learning and Data Science group with the acronym, WiMLDS (http://wimlds.org/), a non-profit organization dedicated to helping women excel in various careers in tech, specifically in Artificial Intelligence, Data Science and Machine Learning fields.

We host numerous events every year, focusing on a wide range of technical and leadership topics for women, non-binary individuals, and other supporters of women in tech. We have over 31,000+ members(worldwide) and are excited to grow our local community in Lagos, Nigeria.

EVENT AGENDA:

1) Welcome & Introduction: 11am - 11:20am

2) Speaker: BOLAJI KUJEMBOLA
Topic: Career growth hacks for women in tech
Time: 11:25pm - 11:55pm

3) Speaker: MARYLEEN AMAIZU
Topic: Transitioning to a data science career: The pitfalls and
opportunities
Time: 12:05pm - 12:35pm

4) Speaker: MATT HARRISON
Topic: Getting Started with Machine Learning
Time: 12:40pm - 1:25pm

6) Break! Break! Break!
Time: 1:25pm - 1:35pm

7) Speaker: GRACE KOLAWOLE
Topic: Harnessing the Power of Data: Business Analytics
Time: 1:35pm - 2:05pm(Breakout Session 1)

8) Speaker: OLASUMBO BANJOKO
Topic: Applicable Data Science in Machine Learning
Time: Time: 1:30pm - 2:05pm (Breakout Session 2)

9) Speaker: AAKANKSHA CHOUHAN
Topic: Molding Data for Machine Learning
Time: 2:05pm - 2:35pm

10) Networking Session
Time: 2:35pm - 2:55pm

omoike sarah Igho

Osajoku Tosin

Lagos Women+ in Machine Learning & Data Science

Technology

Artificial Intelligence

Data Mining

Predictive Analytics

Data Visualization

Data Analytics

Machine Learning

Big Data

Hadoop

Women in Technology

Open Source

Data Science

WiMLDS

Women In Machine Learning and Data Science(WiMLDS) Lagos Conference- 2021

Online event

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Lagos Women+ in Machine Learning & Data Science

Women In Machine Learning and Data Science(WiMLDS) Lagos Conference- 2021

Lagos Women+ in Machine Learning & Data Science

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