Yabebal Fantaye's guest appearances

Yabebal Fantaye

Google Cloud Platform Podcast

All Things Data Podcast

Dave Elliott

Andrew Walker

Peter Norvig

Eric Anderson

John Bohannon

Manuel Lima

Margaret Mitchell

Jessie Frazelle

Joanna Smith

Juliet Hougland

Michelle Casbon

Jesse Houston

Mark Chmarny

Ville Aikas

Dale Markowitz

OwlTail

10 Academy identifies the highest potential recent university grads from Africa (no work experience) and gets them into global AI/Web3 jobs in 6 months. 10 Academy has been designed to scale across the continent and get thousands of brilliant people into work each year. 10 Academy has already achieved financially sustainability, with 100% of operating costs paid through income share from trainees.Selection focuses on work ethic, bias to self-learn, communication skills and bias to build community. There are 10 applicants for every spot on the program.

10 Academy identifies the highest potential recent university grads from Africa (no work experience) and gets them into global AI/Web3 jobs in 6 months. 10 Academy has been designed to scale across the continent and get thousands of brilliant people into work each year. 10 Academy has already achieved financially sustainability, with 100% of operating costs paid through income share from trainees. Selection focuses on work ethic, bias to self-learn, communication skills and bias to build community. There are 10 applicants for every spot on the program.

Yabebal Fantaye of 10 Academy

Jessica Phalafala

Today, Melanie brings you another great interview from her time at Deep Learning Indaba in South Africa. She was joined by Yabebal Fantaye and Jessica Phalafala for an in-depth look at the deep learning research that’s going on in the continent. At the African Institute for Mathematical Sciences, the aim is to gather together minds from all over Africa and the world to not only learn but to use their distinct perspectives to contribute to research that furthers the sciences. Our guests are both part of this initiative, using their specialized skills to expand the abilities of the group and stretch the boundaries of machine learning, mathematics, and other sciences. Yabebal elaborates on the importance of AIMS and Deep Learning Indaba, noting that the more people can connect with each other, the more confidence they will gain. Jessica points out how this research in Africa can do more than just advance science. By focusing on African problems and solutions, machine learning research can help increase the GDP and economic standards of a continent thought to be “behind”. Jessica Phalafala Jessica Phalafala is a PhD Applied Mathematics student at Stellenbosch University and currently affiliated with the African Institute for Mathematical Sciences. In her mid-twenties, she finds herself with four qualifications all obtained with distinction, including a Master of Science in Pure Mathematics degree from the University of the Witwatersrand. Jessica is interested in using her functional analysis background together with a number of newly developed skills to contribute towards developing rigorous mathematical theory to support some existing deep learning methods and algorithms for her PhD research. Outside of research she takes great interest in fast-tracking the level of accessibility of higher education in South Africa as co-founder of the Sego Sa Lesedi Foundation, a platform created to inform underprivileged high school learners of career and funding opportunities in science as well as provide them with mentorship as they transition into undergraduate studies. Yabebal Fantaye Dr. Fantaye is an AIMS-ARETE Research Chair based in South Africa. His research is in applying artificial intelligence and advanced statistical methods to cosmological data sets in order to understand the nature of the universe and to satellite images of the Earth in order to find alternative ways to monitor African development progress. Dr. Fantaye is a fellow of the World Economic Forum Young Scientists community, and a fellow and a Chair of the Next Einstein Forum Community of Scientists. Cool things of the week  A Kubernetes FAQ for the C-suite  blog BigQuery and surrogate keys: a practical approach  blog Adding custom intelligence to Gmail with serverless on GCP  blog Announcing Cloud Tasks, a task queue service for App Engine flex and second generation runtimes  blog Unity and DeepMind partner to advance AI research  blog  Interview  African Institute for Mathematical Sciences site Provable approximation properties for deep neural networks  research Next Einstein Initiative site Square Kilometer Array (SKA) site University of the Witwatersrand site Council of Scientific and Industrial Research (CSIR) site South African National Space Agency (SANSA) site National Astrophysics and Space Science Programme (NASSP)site IndabaX site Coursera site Andrej Karpathy research Andrej Karpathy Blog blog  Question of the week If I’m using the Cluster Autoscaler for Kubernetes (or GKE), how can I prevent it from removing specific nodes from the cluster when scaling down?  How can I prevent Cluster Autoscaler from scaling down a particular node?  github What types of pods can prevent CA from removing a node?  github  Where can you find us next? Mark will definitely be at  Kubecon in December and will probably be at Unite L.A. this month. Melanie is speaking at Monktoberfest Oct 4th in Portland, Maine and will be at CAMLIS the following week.

Today, <a href="https://twitter.com/nyghtowl" rel="nofollow" target="_blank">Melanie</a> brings you another great interview from her time at <a href="https://twitter.com/deepindaba" rel="nofollow" target="_blank">Deep Learning Indaba</a> in South Africa. She was joined by Yabebal Fantaye and Jessica Phalafala for an in-depth look at the deep learning research that’s going on in the continent. At the African Institute for Mathematical Sciences, the aim is to gather together minds from all over Africa and the world to not only learn but to use their distinct perspectives to contribute to research that furthers the sciences. Our guests are both part of this initiative, using their specialized skills to expand the abilities of the group and stretch the boundaries of machine learning, mathematics, and other sciences. Yabebal elaborates on the importance of AIMS and Deep Learning Indaba, noting that the more people can connect with each other, the more confidence they will gain. Jessica points out how this research in Africa can do more than just advance science. By focusing on African problems and solutions, machine learning research can help increase the GDP and economic standards of a continent thought to be “behind”. Jessica Phalafala <a href="https://twitter.com/rjphalafala" rel="nofollow" target="_blank">Jessica Phalafala</a> is a PhD Applied Mathematics student at Stellenbosch University and currently affiliated with the African Institute for Mathematical Sciences. In her mid-twenties, she finds herself with four qualifications all obtained with distinction, including a Master of Science in Pure Mathematics degree from the University of the Witwatersrand. Jessica is interested in using her functional analysis background together with a number of newly developed skills to contribute towards developing rigorous mathematical theory to support some existing deep learning methods and algorithms for her PhD research. Outside of research she takes great interest in fast-tracking the level of accessibility of higher education in South Africa as co-founder of the Sego Sa Lesedi Foundation, a platform created to inform underprivileged high school learners of career and funding opportunities in science as well as provide them with mentorship as they transition into undergraduate studies. Yabebal Fantaye <a href="https://twitter.com/yabebalf" rel="nofollow" target="_blank">Dr. Fantaye</a> is an AIMS-ARETE Research Chair based in South Africa. His research is in applying artificial intelligence and advanced statistical methods to cosmological data sets in order to understand the nature of the universe and to satellite images of the Earth in order to find alternative ways to monitor African development progress. Dr. Fantaye is a fellow of the World Economic Forum Young Scientists community, and a fellow and a Chair of the Next Einstein Forum Community of Scientists. Cool things of the week <ul> <li>A Kubernetes FAQ for the C-suite <a href="https://cloud.google.com/blog/products/containers-kubernetes/kubernetes-faq-for-the-c-suite" rel="nofollow" target="_blank"> blog</a></li> <li>BigQuery and surrogate keys: a practical approach <a href="https://cloud.google.com/blog/products/data-analytics/bigquery-and-surrogate-keys-practical-approach" rel="nofollow" target="_blank"> blog</a></li> <li>Adding custom intelligence to Gmail with serverless on GCP <a href="https://cloud.google.com/blog/products/application-development/adding-custom-intelligence-to-gmail-with-serverless-on-gcp" rel="nofollow" target="_blank"> blog</a></li> <li>Announcing Cloud Tasks, a task queue service for App Engine flex and second generation runtimes <a href="https://cloud.google.com/blog/products/application-development/announcing-cloud-tasks-a-task-queue-service-for-app-engine-flex-and-second-generation-runtimes" rel="nofollow" target="_blank"> blog</a></li> <li>Unity and DeepMind partner to advance AI research <a href="https://blogs.unity3d.com/2018/09/26/unity-and-deepmind-partner-to-advance-ai-research/" rel="nofollow" target="_blank"> blog</a></li> </ul> Interview <ul> <li>African Institute for Mathematical Sciences <a href="https://aims.ac.za" rel="nofollow" target="_blank">site</a></li> <li>Provable approximation properties for deep neural networks <a href="https://www.sciencedirect.com/science/article/pii/S1063520316300033" rel="nofollow" target="_blank"> research</a></li> <li>Next Einstein Initiative <a href="https://www.nexteinstein.org" rel="nofollow" target="_blank">site</a></li> <li>Square Kilometer Array (SKA) <a href="https://www.skatelescope.org" rel="nofollow" target="_blank">site</a></li> <li>University of the Witwatersrand <a href="http://www.wits.ac.za" rel="nofollow" target="_blank">site</a></li> <li>Council of Scientific and Industrial Research (CSIR) <a href="https://www.csir.co.za" rel="nofollow" target="_blank">site</a></li> <li>South African National Space Agency (SANSA) <a href="https://www.sansa.org.za" rel="nofollow" target="_blank">site</a></li> <li>National Astrophysics and Space Science Programme (NASSP)<a href="https://www.star.ac.za" rel="nofollow" target="_blank">site</a></li> <li>IndabaX <a href="http://www.deeplearningindaba.com/indabax.html" rel="nofollow" target="_blank">site</a></li> <li>Coursera <a href="https://www.coursera.org/" rel="nofollow" target="_blank">site</a></li> <li>Andrej Karpathy <a href="https://cs.stanford.edu/people/karpathy/" rel="nofollow" target="_blank">research</a></li> <li>Andrej Karpathy Blog <a href="http://karpathy.github.io" rel="nofollow" target="_blank">blog</a></li> </ul> Question of the week If I’m using the Cluster Autoscaler for Kubernetes (or GKE), how can I prevent it from removing specific nodes from the cluster when scaling down? <ul> <li>How can I prevent Cluster Autoscaler from scaling down a particular node? <a href="https://github.com/kubernetes/autoscaler/blob/master/cluster-autoscaler/FAQ.md#how-can-i-prevent-cluster-autoscaler-from-scaling-down-a-particular-node" rel="nofollow" target="_blank"> github</a></li> <li>What types of pods can prevent CA from removing a node? <a href="https://github.com/kubernetes/autoscaler/blob/master/cluster-autoscaler/FAQ.md#what-types-of-pods-can-prevent-ca-from-removing-a-node" rel="nofollow" target="_blank"> github</a></li> </ul> Where can you find us next? Mark will definitely be at <a href="https://events.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2018/" rel="nofollow" target="_blank"> Kubecon</a> in December and will probably be at <a href="https://unite.unity.com/2018/los-angeles" rel="nofollow" target="_blank">Unite L.A.</a> this month. Melanie is speaking at <a href="https://monktoberfest.com/" rel="nofollow" target="_blank">Monktoberfest</a> Oct 4th in Portland, Maine and will be at <a href="https://www.camlis.org" rel="nofollow" target="_blank">CAMLIS</a> the following week.

Deep Learning Research in Africa with Yabebal Fantaye & Jessica Phalafala