Event schedule

Day 1
AI for Social Good: Foundations, Opportunities and Challenges
EN
  • Tupokigwe Isagah Parrotai & Mzumbe University

Python programming basics and its application for scientific computation
EN
  • Anthony Faustine Parrotai & IDLab, imec

  • Fredrick Apina Parrotai

  • Martha Shaka Parrotai, UDOM

Break

The best time to talk with speakers and attendees

Python programming basics and its application for scientific computation
EN
  • Anthony Faustine Parrotai & IDLab, imec

  • Fredrick Apina Parrotai

  • Martha Shaka Parrotai, UDOM

Day 2
Data Science Foundations
EN
  • Tupokigwe Isagah Parrotai & Mzumbe University

  • Martha Shaka Parrotai, UDOM

Break

The best time to talk with speakers and attendees

The explores of Artificial Intelligence (AI) technology as an aid in mental health and wellness
  • Bonface Witaba Centre for Youth Empowerment & Leadership (CYEL)-Kenya

Data collection, wrangling and processing
EN
  • Martha Shaka Parrotai, UDOM

Lunch Break
Machine learning in industry: Challenge and Opportunities
  • Abdallah Mashashi Millicom (Tigo)

Data-Driven Decision Making -I
EN
  • Davis David Parrotai

  • Tupokigwe Isagah Parrotai & Mzumbe University

  • Fredrick Apina Parrotai

Coffee Break

The best time to talk with speakers and attendees

Data-Driven Decision Making -II
EN
  • Davis David Parrotai

  • Fredrick Apina Parrotai

  • Martha Shaka Parrotai, UDOM

Day 3
Machine learning fundamentals
EN
  • Anthony Faustine Parrotai & IDLab, imec

Data representation and feature engineering
EN
  • Davis David Parrotai

Coffee Break

The best time to talk with speakers and attendees

Supervised Machine learning (Regression)
EN
  • Fredrick Apina Parrotai

Day 4
Supervised Machine learning (Classification)-I
EN
  • Davis David Parrotai

Break

The best time to talk with speakers and attendees

AI for Bioinformatics
  • Dina Machumve NM-AIST

Supervised Machine learning (Classification)-II
EN
  • Davis David Parrotai

Lunch Break
Human Centre Design
  • Emmanuel Senzighe Sahara Ventures

Machine learning model evaluation and improvement - I
EN
  • Davis David Parrotai

  • Fredrick Apina Parrotai

Coffee Break

The best time to talk with speakers and attendees

Machine learning model evaluation and improvement - I
EN
  • Davis David Parrotai

  • Fredrick Apina Parrotai

Day 5
Unsupervised machine learning (Clustering)
EN
  • Davis David Parrotai

  • Anthony Faustine Parrotai & IDLab, imec

  • Fredrick Apina Parrotai

Coffee Break

The best time to talk with speakers and attendees

Strategies for Successfully Machine learning projects
EN
  • Davis David Parrotai

  • Anthony Faustine Parrotai & IDLab, imec

Day 6
The Myth and Ethics of AI systems
EN
  • Tupokigwe Isagah Parrotai & Mzumbe University

Break

The best time to talk with speakers and attendees

Deploying Machine Learning Projects into Production at Scale
  • Kelvin Kiwango Vodacom

Intro to TanzanAi Lab Community
  • Essa MohamedAli TanzanAi Lab Community

Introduction to Zindi and ML hackathon
  • Davis David Parrotai

Lunch Break
Machine learning hackathon
EN
  • Davis David Parrotai

  • Fredrick Apina Parrotai

Coffee Break

The best time to talk with speakers and attendees

Program Feedback and Evaluation

Closing Remarks