Announcing The 2nd Batch of Guest Speakers and Facilitators for The Practical Machine Learning Course 2020 From The Port Harcourt School of AI

Announcing The 2nd Batch of Guest Speakers and Facilitators for The Practical Machine Learning Course 2020 From The Port Harcourt School of AI

Hello, community!

We are very excited to release the list of the 2nd batch of guest speakers and facilitators for the Practical Machine Learning course. You can view the fresh list of course guest speakers and facilitators here. In this blog post, we will be introducing the guest speakers and facilitators, stating why we chose them to be facilitators of this course.


  1. Emmanuel Okorie (Data Scientist, Carbon (PayLater)) : With Emmanuel's experience developing Machine Learning systems for both retail and fintech companies, there was really no denying that he was going to be one of the facilitators of this course. Emmanuel is well skilled in building algorithms that scale to real-world business problems, having worked for companies such as OneFi and Heroshe. He will be bringing his expertise to the classroom on the 2nd of May on using regression algorithms for real-world, industrial settings.

  2. Alo Joel (Access bank DataHack 2018 winner): Alo Joel is a winner and one of the participants of the DataHack 2018 contest. He has also been involved in Data Science Nigeria AI Bootcamp contest for 2 years in a row. He will be bringing his expertise in using regression algorithms to win Data Science competitions and contests on the 8th/9th of May.

  3. Stephen Gabriel (Technical Lead, Data Science at MOBicure): Stephen is a data scientist whose industrial work focuses heavily on data engineering and operationalizing machine learning systems for production (to be used by an end-user or integrated into another system). Stephen is currently the technical lead for the data science team at MOBicure, and with his expertise, will be facilitating a session of Git and GitHub for ML (machine learning) projects and how that integrates with an overall MLOps (machine learning operations) ecosystem on the 16th of May.

  4. Vangelis Michael (Data/Machine Intelligence Engineer, Indicina Technologies): Vangelis, just like the other facilitators, is one we are excited about welcoming. He is experienced in solving real-world problems with machine learning, and currently manages a data science team at Indicina Technologies. He will be sharing his expertise on using classification algorithms to solve real-world problems and the problems encountered on the 23rd of May.

  5. Jeremiah Fadugba (Teaching Assistant, African Masters in Machine Intelligence (AMMI)): Jeremiah is a teaching assistant at AMMI; a program that aims to prepare well-rounded machine intelligence researchers who respond to both present and future needs of Africa and the world. Jeremiah will be sharing his expertise with us on the 29th/30th of May on the use of advanced classification algorithms for problem-solving.

  6. Frank Ekanem (Machine Learning Engineer, NIIT Port Harcourt): Frank is a machine learning engineer in the city of Port Harcourt. He has consulted for various companies such as Total Nigeria and Shell and is currently a tutor at NIIT Port Harcourt. He will be sharing his vast consulting expertise on data science and machine learning with the learners on the 4th and 11th of July.

  7. Julia Stoyanovich (Assistant Professor at New York University): Professor Julia is one of the most brilliant minds in the fields of responsible data science, privacy & algorithmic fairness. An assistant professor at the New York University, Professor Julia lectures the next generation of data scientists on responsible data management and analysis practices. We are opportune to have her share her wealth of knowledge with us on building responsible and accountable machine learning systems on the 18th of July. You can read her works here and watch her most recent talk on "TransFAT" here.

  8. Catherina Xu (Associate Product Manager, Machine Learning Fairness at Google AI): Catherina is the associate product manager for ML fairness at Google AI, and we are very excited that she accepted to facilitate a session on ML model explainability with us. We are proud to have Cath share her knowledge on the 18th/25th of July. You can access one of her great works on ML fairness in a TFX workshop last year here, and watch her most recent talk on the TensorFlow Developers Summit here.

  9. Yufeng Guo (Developer Advocate, Google Cloud Platform): When Yufeng accepted to facilitate a workshop for the community, we were very ecstatic and still are thrilled. Yufeng is a developer advocate for Google Cloud Platform (GCP) and will be facilitating a session on using Google Cloud's array of AI team to build ML products in an efficient and optimal way for low-budget data science projects on the 14th of August.

  10. Sam Charrington (Machine learning & AI analyst, advisor & podcaster Sam is another guest speaker we are very excited about welcoming to the program. He is one of the best AI podcasters out there who has spoken to hundreds of data scientists and AI engineers, so there is no doubt he'd share the very best of insights on building data science teams with us on the 29th of August.

  11. Doug Rose (Managing Partner, Doug Enterprises, LLC): If there are still skilled veterans left in the world of Agile software development methodologies, then Doug Rose is definitely one of them. He is not just an expert in Agile software development methodologies, but also one at building high-performing data science teams. We are excited to have Mr Doug share his expertise with us on managing data science teams for high-performance on the 28th/29th of August.

You can view the entire list of our guest speakers and facilitators, as well as our instructors on our syllabus here.

You can also find more about our course here.

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