Learning Tracks

With a strong commitment to quality learning, we carefully select resources from well recognised Professors, to aid teaching and learning throughout the cohort.

Some of the resources we have used in the past are:
- Andrew Ng's Machine Learning course on Coursera
- Professor Zico Kotler's Data Science and Machine Learning course on datasciencecourse.org

With a strong commitment to quality learning, we carefully select resources from well recognised professionals, to aid teaching and learning throughout the cohort.

Some of the resources we have used in the past are:
- Stanford Univesity's CS231n class
- Jeremy Howard's fast.ai tutorials
- Udacity's Introduction to Deep Learning with Pytorch

We bring together, individuals with different exprtise together to brain storm and research on data related projects that will add value to our African society.
There projects when completed are published at the NeurIPS conference.

Explore the creativity and innovation in our student. From deep learning frameworks like TensorFlow and PyTorch to practical applications in music prediction, car pricing, and face recognition. See how they've tackled challenges in data science, machine learning, and AI with projects that span across various tracks and cohorts.

Gallery

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