Podcasts about data science africa

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Best podcasts about data science africa

Latest podcast episodes about data science africa

Talking Machines
Let's Reflect

Talking Machines

Play Episode Listen Later Jun 13, 2020 0:30


We're not bringing you an episode this week. We're taking some time to think about the systems we take part in and how those perpetuate anti black racism and the effects of that on the work in this field. We'd like to bring you meaningful conversations around those systems and how we can change them and ourselves.  We encourage everyone to explore the amazing work of Black in AI, Data Science Africa and Shut Down STEM.  Take care of yourselves, take care of each other, and stay tuned.

black ai reflect data science africa
Talking Machines
DSA Addis Ababa and ICML Los Angeles

Talking Machines

Play Episode Listen Later Jun 20, 2019 55:45


In episode twelve of season five we bring you a rundown of Data Science Africa's latest workshop answer a listener question about what got us excited at ICML and hear the first part of our conversation with Michael Melese from Addis Ababa University and Charles Saidu of Baze University Abuja

Google Cloud Platform Podcast
DL Indaba: AI Investments in Africa

Google Cloud Platform Podcast

Play Episode Listen Later Sep 18, 2018 63:57


This week we are bringing you a couple of interviews from last week’s Deep Learning Indaba conference. Dr. Vukosi Marivate, Andrea Bohmert and Yasin(i) Musa Ayami talk about the burgeoning machine learning community, research, companies and AI investment landscape in Africa. While Mark is at Google Cloud Next in Tokyo, Melanie is joined by special guest co-hosts Nyalleng Moorosi and Willie Brink. Vukosi and Yasin(i) share how Deep Learning Indaba is playing an important role to recognize and grow machine learning research and companies on the African continent. We also discuss Yasin(i)’s prototyped app, Tukuka, and how it won the Maathai Award which is given to individuals who are a positive force for change. Tukuka is being built to aid economically disadvantaged women in Zambia get access to financial resources that are currently unavailable. Andrea rounds up the interviews by giving us a VC perspective on the AI start-up landscape in Africa and how that compares to other parts of the world. As Nyalleng says at the end, AI is happening in Africa and has great potential for impact. Willie Brink Willie Brink is a senior lecturer of Applied Mathematics in the Department of Mathematical Sciences at Stellenbosch University, South Africa. He teaches various courses in Applied Mathematics and Computer Science, at all levels, and his research interests fall mainly in the broad fields of computer vision and machine learning. He has worked on multi-view geometry, visual odometry, recognition and tracking, probabilistic graphical models, as well as deep learning. Recent research directions include visual knowledge representation and reasoning. Willie is also one of the founders and organisers of the Deep Learning Indaba, an exciting initiative working to celebrate and strengthen machine learning and artificial intelligence research in Africa, and to promote diversity and transformation in these fields. Nyalleng Moorosi Nyalleng is a Software Engineer and Researcher with the Google AI team in Ghana. Before joining Google, Nyalleng was a senior Data Science researcher at South Africa’s national science lab, Council for Scientific and Industrial Research (CSIR), with the Modeling and Digital Sciences Unit. In her capacity at CSIR, she works on projects ranging from: rhino poaching prevention with park rangers, working with news outlets to understand social media sentiments, and searching for Biomarkers in African cancer proteomes. Before getting into ML research at CSIR, she was a computer science lecturer at Fort Hare University and a software engineer at Thomson Reuters. Moorosi is an active member of Women in Machine Learning, Black in Artificial Intelligence, and an organising member of the Deep Learning Indaba - a yearly workshop that gathers African researchers in one space to share ideas and grow machine learning and artificial intelligence capabilities. Dr. Vukosi Marivate Dr. Vukosi Marivate holds a PhD in Computer Science (Rutgers University) and MSc & BSc in Electrical Engineering (Wits University). He has recently started at the University of Pretoria as the ABSA Chair of Data Science. Vukosi works on developing Machine Learning/Artificial Intelligence methods to extract insights from data. A large part of his work over the last few years has been in the intersection of Machine Learning and Natural Language Processing (due to the abundance of text data and need to extract insights). As part of his vision for the ABSA Data Science chair, Vukosi is interested in Data Science for Social Impact, using local challenges as a springboard for research. In this area Vukosi has worked on projects in science, energy, public safety and utilities. Vukosi is an organizer of the Deep Learning Indaba, the largest Machine Learning/Artificial Intelligence workshop on the African continent, aiming to strengthen African Machine Learning. He is passionate about developing young talent, supervising MSc and PhD students, and mentoring budding Data Scientists. Yasin(i) Musa Ayami Yasin(i) Musa Ayami is Team Lead at TsogoloTech and a certified Oracle Associate. Mr. Ayami recently graduated with a Master’s Degree in Information Technology at the prestigious Durban University of Technology (DUT) were his study mainly focused on Computer Vision and Machine Learning. Prior to him enrolling for his Master’s Degree, Mr Ayami served as an Intern Software Engineer at DUT’s App Factory where he also served as Team Lead before deciding to further his studies. He also worked as a Part-Time Student Instructor at the DUT. In 2017, he co-founded TsogoloTech. His vision has always been to leverage technology for social good. Andrea Bohmert Andrea Bohmert is a Co-Managing Partner at Knife Capital. Before joining Knife Capital, she was the Founder and Co-Managing Partner of Hasso Plattner Ventures Africa. Passionate about strategizing how to scale businesses and meeting the entrepreneurs responsible for creating them, she has been actively involved in numerous initiatives aiming to accelerate the African entrepreneurial ecosystem. What are you looking forward to this week? AlphaGo Movie site WiML: Women in Machine Learning site Deep Learning Indaba Poster Sessions site Neural Information Processing Systems site Interview Deep Learning Indaba site Deep Learning Indaba GitHub site Deep Learning Indaba Tutorials site Deep Learning Indaba 2018 Slides site Deep Learning Indaba 2017 Presentations videos Deep Learning Indaba X site Yasin(i) Musa Ayami on GitHub site and LinkedIn site Deep Learning Indaba Award Winners site and tweet Maathai Award site Xamarin site SuperPosition at The Deep Learning Indaba with Dr. Vukosi Marivate podcast Knife Capital site Investing in AI by Andrea Bohmert article 10 Defining Moments that shaped the 2016 SA startup ecosystem article Data Science Africa site International Data Week site Google Cloud Platform Credits award winners tweet Question of the week The co-hosts weigh in on our question of the week: What have you taken away from this week and will take forward? Where can you find us next? Mark and Melanie will be at Strangeloop. Willie will be teaching Machine Learning at Stellenbosch University this summer. Nyalleng will be at the Women in Machine Learning Workshop and the Neural Information Processing Systems Conference in Montreal in December.

Super Position
Data Science meets Policy w/ Vukosi Marivate @ The Deep Learning Indaba

Super Position

Play Episode Listen Later Sep 10, 2018 34:50


Hello Super Positioners, Today we bring to your ears Dr Vukosi Marivate, one of the co-organisers of the Deep Learning Indaba. Listen to his fascinating perspective from the intersection of data science, public policy and Mama Africa. Resources: Dr Vukosi Marivate's Website: www.vima.co.za Computational Social Science Workshop, UCT: https://compsocialscience.github.io/summer-institute/2018/capetown/ The Deep Learning Indaba: http://www.deeplearningindaba.com/ Data Science Africa: http://www.datascienceafrica.org/ This podcast was made in collaboration with The African Perspective (TAP) Magazine. Take a look at their YouTube channel: https://www.youtube.com/channel/UCdLXfy1kpSNTg2xAKycTUtA. Music by Faresa Mpephu: https://soundcloud.com/faresa-mphephu. Thank you for the support.

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Talking Machines
Data Science Africa with Dina Machuve

Talking Machines

Play Episode Listen Later Aug 10, 2017 48:14


In episode seven of season three we take a minute to break way from our regular format and feature a conversation with Dina Machuve of the Nelson Mandela African Institute of Science and Technology we cover everything from her work to how cell phone access has changed data patterns. We got to talk with her at the Data Science Africa confrence and workshop.