In March, 2019, participants of the Deep Learning Indaba 2018 workshop (held in Stellenbosch, South Africa) from the Nelson Mandela African institution of Science and Technology (NM-AIST) organized a mini IndabaX event with the focus of highlighting fundamentals of Machine learning and Deep Learning research, applications and various potentials. The event also aimed in raising awareness and inspiring more participants from Tanzania to apply for Deep learning Indaba 2019 summer school which will held in Kenyatta university, Nairobi Kenya.
In May, 2017 I attended an IST Africa conference which was conducted in Windhoek, Namibia. I had an opportunity to present my research paper with the title “Enhancing Management of Nutrition Information using Mobile Application: Prenatal and Postnatal requirements”.
In April 2016 during my Masters’ degree, my team represented the Nelson Mandela African Institution of Science and Technology (NM-AIST) in the 14th annual Business Plan competition in Washington State University, Pullman (USA). The competition attracted different teams with brilliant and innovative ideas from different universities in USA and our team from NM-AIST, Arusha, Tanzania.
In December 2018, I attended Neural Information Processing Systems (NeurIPS) conference, Women in Machine Learning (WiML) and Black in Artificial Intelligence (BAI) workshops in Montreal, Canada. The events brought together different experts from across the globe in the field of machine learning, computational neuroscience and artificial intelligence. The workshops featured different talks, demonstrations, symposia, oral and poster presentations where I had a chance to present my research and receive very useful feedbacks and comments from the audience.
In September, 2018 I was privileged to attend a Deep learning Indaba summer school which was held in Stellenbosch University, South Africa. The summer school aimed at strengthening African Machine Learning and topics covered includes introduction to machine learning, feed-forward networks, convolutional neural networks, recurrent neural networks and reinforcement learning. During this busy week, I had a chance to present my research progress and I was happy with the inputs and feedback. I enjoyed all the sessions in this summer school, particularly the evening session of Women in Machine Learning which was organised by Microsoft. The stories shared by successful women in the field of Machine Learning were very inspirational and encouraging. As part of knowledge dissemination, we are planning to organize the IndabaX_Tanzania, to create a room for knowledge sharing with other people who didn’t get a chance to attend the summer school. More details about this arrangement will be announced through Pythontz official page. I would like to thank Google for sponsoring my participation to this productive event.