2019 Artificial Intelligence Bootcamp
Welcome to the 2019 bootcamp. This year, we will run in multiple streaming sessions, culminating in the Finals of the InterCampus Machine Learning competition and the intermediate stream on Deep Learning concepts.
It is a six-day residential, all-expenses-paid Artificial Intelligence Bootcamp and Hackathon on emerging trends in machine learning and deep learning and will run between 19 and 23 November 2019. The intent of the bootcamp and hackathon is to build world-class capacity in advanced data analytics, upskill financial inclusion data analysts and researchers in emerging best practices, and to support the development of contextually relevant algorithm and tech innovation.
The bootcamp will include face-to-face teaching, virtual online classes, and a hands-on hackathon using the Zindi.com platform. Distinguished data scientists from leading institutions including the Google AI Lab, Stanford AI Research, GitHub and Bankable Frontiers Associates will facilitate the sessions. An ongoing pan-Nigeria selection competition will select the 150 best-performing students/researchers/practitioners that will be accepted into this free bootcamp. The bootcamp will also serve as the final test of the Inter-Campus Machine Learning Competition, sponsored by BlueChip Technologies. Over 10,000 students from 90 universities and polytechnics participated in the preliminary phase. The bootcamp will also include a very competitive hackathon using Nigeria-centric data to explore, extrapolate and explain emerging possibilities in algorithms.
The bootcamp is driven by a broader strategic intent to accelerate Nigeria’s development through a solution-oriented application of machine learning in solving social/business problems and to galvanize data science knowledge revolution for employability, technology innovation and sustainable socio-economic development.
The bootcamp learning sessions will be enriched by leading experts from different parts of the world, including Dr. Dumebi Okwechime, Chief Decision Scientist, RenMoney; Kris Sankaran, PhD, MILA Canada; Prof. Thomas G. Dietterich,Emeritus Professor of Computer Science, USA; Prof Anima Anandkumar, Professor of Computing, CalTech; Ike Okonkwo, Data Scientist Zynga Games, California; Kathleen Siminyu, Head of Data Science, Africa’s Talking; Dr. Stephen G. Odaibo, CEO, RetinaAI, USA; Samuel Edet, Joint PhD, Student IMT, Italy and Ku Leuven, Belgium; Wale Akinfaderin, PhD, Senior Data Scientist, Duke Energy; Emmanuel Doro, PhD, Principal Data Scientist, Jet.com, USA; Uzo Mkparu, Group Head, CRM, Customer Analytics & Insights FCMB; Pascal Bernard, Head of Data Science, OneFi; Elaine Nsoesie, PhD, Assistant Professor, Botson University; Prof. Kunle Oluktun, Professor of EE and CS at Stanford University; Dr. Nnana Orieke, Cloud Solution Architect, Data and AI, Microsoft; Nicholas Litombe, PhD, Data Scientist, Physicist; Robert John, Data Science Officer, EnterFive; Dr. Sakinat Folorunsho, Lecturer, Computer Science, OOU; Olubayo Adekanmi, Convener, Data Science Nigeria, Chief Transformation Officer, MTN Nigeria.
Microsoft, BlueChip Technologies, Terragon Group, AXA Mansard, FCMB, InstaDeep AI, ProShare Nigeria, The Guardian, Guardian TV, OneFi, KPMG and Zindi South Africa are the sponsors and partners of the bootcamp and summit.
Participation in the 6 days Artificial Intelligence Bootcamp is based on a pre-qualification competition on “Staff Promotion Algorithm” on Kaggle, the global Machine Learning competition platform. click here.
Schedule
Tuesday 19 November 2019: Welcome Session
| TIME | FOCUS/SPEAKERS | TOPICS |
|---|---|---|
| 3:00 – 4:00 | Welcome Refreshment, Registration | |
| 4:00 – 5:30 | Welcome session, Camp Rules and Welcome Prof Thomas Dietterich,Masterclass by BigML’s Chief Scientist & Emeritus Professor of Computer Science at Oregon State University. |
Robust Artificial Intelligence and Trustworthy Machine Learning |
| 5:30 – 6:00 | Welcome Quiz and wins | |
| 6:00 – 7:00 | Terragon Group Masterclass on AI emerging trends Babatunde Adeniran & Esemeje Omole Data Scientists, Terragon Group, Nigeria |
Masterclass on Emerging Trends in Machine Learning/Artificial Intelligence in the business space |
| 7:00 – 8:00 | Dinner and check-in into rooms | |
Wednesday 20 November 2019: Tools, Concepts and Frameworks
| TIME | FOCUS/SPEAKERS | TOPIC |
|---|---|---|
| 8:00 – 8:30 | Breakfast | |
| 8:30 – 10:00 | Alina Game, GRID3 Nigeria Data Analyst Edith Darin, GRID3 Nigeria Researcher Michael Harper, GRID3 Nigeria Data Analyst Wole Ademola Adewole, GRID3 Nigeria GIS consultant Sophie Delaporte, GRID3 Nigeria Communications Manager |
Introduction to Geospatial Data Analytics with GRID3 |
| 10:00 – 11:30 | PARALLEL SESSION – different topics in different classes based on participants’ level and interest
Basic Tool Mastery: Quick run through, short cuts and fast-track expert knowledge |
|
| Olawale Wahab, Data Science Engineer | Tensorflow | |
| Blessing Oladeji, CEO, Octave Analytics | SQL | |
| Wuraola Oyewusi, Research Lead, Data Science Jupyter/Python Nigeria |
Jupyter/Python | |
| 11:30 – 1:30 | PARALLEL SESSION – different topics in different classes based on participants’ level and interest Conceptual Exploration of Maths for Machine and Deep Learning |
|
| Maths and Concepts in Machine Learning: Samuel Edet, Doctoral Researcher , Economics, Networks and Business Analytics at IMT School for Advanced Studies, Italy |
ML – Defining a Model Cost / Loss / Error Function, Mathematical Optimization, Gradient Descent, Stochastic Gradient Descent etc. |
|
| Maths and Concepts in Deep Learning: Dr Stephen Odaibo, CEO/Founder Retina-AI, Houston, USA |
DL: Introduction to Deep Learning, Core Maths concepts, Common Activation Functions , Deep Neural Network, Forward and Back-Propagation etc. |
|
| 2:00 – 5:00 | PARALLEL SESSION – different topics in different classes based on participants’ level and interest Hands-on Machine Learning and Deep Learning via mini-projects |
|
| Samuel Edet, Doctoral Researcher , Economics, Networks and Business Analytics at IMT School for Advanced Studies, Italy & band Ku Leuven, Belgium |
Key Concepts in Machine Learning |
|
| Dr Stephen Odaibo, CEO/Founder Retina-AI, Houston, USA |
Key Concepts in Deep Learning | |
| 5:00 – 6:00 | Women in AI Session Dr Sakinat Folorunso, Computer Science Lecturer/Researcher, OOU & Lead for WIDS |
|
| 6:00 – 7:00 | Daily Book Prize wins
Industry Engagement Session |
What industries are looking for in a Data Scientist |
| 7:00 – 8:00 | Dinner | |
| 8:00 – 9:00 | Masterclass on Artificial Intelligence Engineering Prof Kunle Olukotun,Professor of Electrical Engineering and Computer Science at Stanford University and Director of the Pervasive Parallelism Laboratory, USA. Founder of Mines.io |
Future Computer Systems for Software 2.0 |
Thursday 21 November 2019 : Theoretical Depth and Exploration
| TIME | FOCUS/SPEAKERS | TOPIC |
|---|---|---|
| 8:00 – 8:30 | Breakfast | |
| 8:30 – 9:30 | Sabrina Smai, Software Engineer – Microsoft, Canada Problem-solving and Solution Approach in Artificial Intelligence |
|
| 9:30 – 11:00 | PARALLEL SESSION – different topics in different classes based on participants’ level and interest Practical AI in use |
|
| Elaine Nsoesie PhD, Assistant Professor at Boston University School of Public Health/ Institute for Health metrics and Evaluation, Boston, USA |
Artificial Intelligence for Health – use for non-traditional data for health risk prediction |
|
| Pascal G. Bernard, Head of Data Science, CARBON/ One Finance & Investment Ltd., London
Jacobo Varela, Data Scientist, CARBON/ One Finance & Investment Ltd., London |
Artificial Intelligence for Financial Inclusion
9:00-10:00 Alternative Data and Risk Prediction 10:00-11:00 Graph Databases: A key to addressing Financial Services challenges. |
|
| Margaryta Ostapchuk,Technical Evangelist, Commercial Software Engineering team, Microsoft Canada | Cognitive Solutions Development in Microsoft Azure | |
| 11:00 – 4:00 | PARALLEL SESSION – different topics in different classes based on participants’ level and interest PARALLEL SESSIONS ON AI THEORIES IN PRACTICE |
|
| (1) Anomaly Detection with BigML – theory and application Prof Thomas Dietterich and Guillem Vidal |
||
| (2) Computer Vision CNN: Convolutional Neural Networks Dr Emmanuel Doro, Director, Data Science at Walmart, USA |
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| (3)Natural Language Processing: Kathleen Siminyu, AI for Development Network, Kenya & Ayodele Olabiyi, Product Researcher and NLP Project Lead, Data Science Nigeria & Wuraola Oyewusi, Research/Innovation Lead, Data Science Nigeria |
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| 4:00 – 5:30 | PARALLEL SESSION – different topics in different classes based on participants’ level and interest AI PhD Research or Running an AI-first start-up |
|
| Kris Sankaran ,PhD, postdoc at MILA, Montreal, Canada & Elaine Nsoesie PhD, Assistant Professor at Boston University School of Public Health/ Institute for Health metrics and Evaluation |
Writing scientific Research paper and PhD readiness | |
| Osayi Igharo, Managing partner, Ripple VC, USA
Wale Akanbi, Co-Founder & CTO – Aella Credit, Nigeria |
Pitching ideas & running an AI Start-up | |
| 6:00 – 7:00 | Masterclass with Dr Stephen Odaibo, CEO/Founder Retina-AI, Houston, USA | Generative Adversarial Network – Key concepts |
| Meet-Up on the Nigeria Natural Language agenda setting as part of Masakhane.io
Kathleen Siminyu, AI for Development Network, |
Agenda-setting for Nigeria NLP workstream | |
| 7:00 – 8:00 | Dinner | |
| 8:00 – 9:00 | Masterclass on Artificial Intelligence At Scale Anima Anandkumar, Professor of Computing at California Institute of Technology & Director of Machine Learning research at NVIDIA |
Trinity of AI (Data, Cloud, Algorithm) – imperatives of AI at scale |
Friday 22 November 2019 : Real-world Application Enablers and Use cases
| TIME | FOCUS/SPEAKERS | TOPIC |
|---|---|---|
| 7:30 – 8:00 | Breakfast | |
| 8:00 – 9:00 | Microsoft Azure DevOps Best practice: Dara Oladapo, Customer Success Manager, Microsoft4Afrika |
|
| 9:00 – 10:00 | Eric Sodomka PhD, Research Scientist, Facebook Research
|
Introduction to Mechanism Design |
| 10:00 – 3:30 | PARALLEL SESSION – different topics in different classes based on participants’ level and interest Methodologies for real-world application |
|
| Eric Sodomka PhD, Research Scientist, Facebook Research |
Introduction to Mechanism Design | |
| Geospatial Analytics for Nigeria GRID3 team |
GRID3 for GeoSpatial Analytics for Nigeria |
|
| Machine Learning best practices for Digital Media and Programmatic Advertising Analytics Mohit Rawan Terragon Dial-in session | Project-based immersion into Machine Learning best practices for Digital Media and Programmatic Advertising Analytics | |
| 4:00 – 5:30 | Open House: Building a world-class career in AI& Data Science Dumebi Okwechime PhD, Chief Decision Scientist – Renmoney, Lagos Nicholas Litombe PhD, Senior Data Scientist at Unacast, USA Margaryta Ostapchuk, Technical Evangelist, Commercial Software Engineering team, Microsoft Canada Sabrina Smai, Software Engineer – Microsoft, Canada |
|
| 5:30 – 7:00 | Introducing Malaria competition and dataset (24 hour Hackathon) Prof Delmiro Fernandez-Reyes Reader in Digital Health, University College London Hackathon break and work Introduction to the Insurance Dataset for recruitment by Axa Mansard Introduction to the Max.ng Challenge |
|
| 7:00 – 8:00 | Dinner | |
| 8:00 – 12:00 | Hackathon Individual work session | |
Saturday 23 November 2019: Real-world Application Enablers and Use cases
| TIME | FOCUS/SPEAKERS | TOPIC |
|---|---|---|
| 8:00 – 8:30 | Breakfast | |
| 8:30 – 9:30 | Artificial Intelligence for Good AI Poster session | |
| 9:30 – 11:00 | Statistical Best Practice Masterclass Kris Sankaran PhD, postdoc at MILA, Montreal, Canada Nicholas Litombe PhD, Senior Data Scientist at Unacast, USA |
|
| 11:00 – 1:00 | Deep Learning with Microsoft Azure Dr Nnanna Orieke, Cloud Solution Architect Data and AI at Microsoft Margaryta Ostapchuk, Technical Evangelist, Commercial Software Engineering team, Microsoft Canada Sabrina Smai, Software Engineer – Microsoft, Canada Dara Oladapo, Customer Success Manager, Microsoft4Afrika |
|
| 1:00 – 4:00 | Hackathon Focus | |
| 4:00 – 6:00 | Recording of Intercampus AI competition | |
| 6:00 – 7:00 | Award Night/ Dinner | |
Sunday 24th November 2019: Departure
| AWARDS |
|---|
| Softcom Eyowo Daily Quiz Book Prize |
| Microsoft Best Student in Deep Learning application via the Malaria Hackathon – Use of Data to solve social problems |
| Bluechip Technologies – Best students in InterCampus Machine Learning competition |
| Terragon Mr. and Mrs Algorithm & Best School on the Leaderboard |
| Retina-AI Best Poster on Artificial Intelligence for Social Good |
| MainOne Best Female Data Scientist |
| Axa Mansard – 3 Best student in special insurance hackathon for internship |
| Xlytics Innovation Award for community – promotion of DSN and campus ambassadors, community leaders and volunteers |
| Carbon/OneFi Award for Industry Support and Promotion of DSN |