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Georgie Purcell worked as a topless waitress while studying, and after her photos were distributed online, she feared what would happen if she pursued a career in politics.
Despite her trepidation, she persevered and has thrived in her field. If you can control your own narrative and be proud of yourself, no one can use it against you, she told Paul Kennedy.
Duration: 8min 20sec
Content provided by Last updated: 3 hours ago
UmojaHack Africa 2021 was an unprecedented success, bringing more than 1000 students from 126 universities across Africa to compete on Zindi (www.Zindi.africa) in a virtual machine learning hackathon on the weekend of 27-28 March. More than $10 000 USD in prizes were awarded to data science students from 9 African countries, and more than 8500 submissions were made to solve three real-world machine learning challenges on Zindi.
Students from 21 African countries joined the event, representing Algeria, Benin, Cameroon, Côte d’Ivoire, Egypt, Ethiopia, Ghana, Guinea, Kenya, Malawi, Morocco, Nigeria, Rwanda, Senegal, South Africa, Sudan, Tanzania, Tunisia, Uganda, Zambia and Zimbabwe.
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Despite businesses flocking to contactless payment following the COVID-19 pandemic, Australians are hoarding more cold, hard cash than ever before.
The Conversation’s businesses and economy editor, and the Australian National University’s Crawford School of Public Policy visiting fellow, Peter Martin told Paul Kennedy why we re hoarding - and loving it.
Duration: 8min 36sec
UmojaHack Africa 2021 was an unprecedented success, bringing more than 1000 students from 126 universities across Africa to compete on Zindi (www.Zindi.africa) in a virtual machine learning hackathon on the weekend of 27-28 March. More than $10 000 USD in prizes were awarded to data science students from 9 African countries, and more than 8500 submissions were made to solve three real-world machine learning challenges on Zindi.
Students from 21 African countries joined the event, representing Algeria, Benin, Cameroon, Côte d’Ivoire, Egypt, Ethiopia, Ghana, Guinea, Kenya, Malawi, Morocco, Nigeria, Rwanda, Senegal, South Africa, Sudan, Tanzania, Tunisia, Uganda, Zambia and Zimbabwe.
They participated in three different machine learning challenges: a financial resilience prediction challenge, a logistics challenge for African B2B service provider Sendy (www.Sendyit.com), and a computational biology challenge using the DeepChain™ (www.DeepChain.bio) platform developed by InstaDeep
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