Outlook

In the hope that those lectures convinced you that machine learning is more about math than magic, some of you may have fallen in love with an algorithm, or even the entire topic!

If you want to pursue either in academic circles or in industry, find below some links to help you further learn and enhance your machine learning skills.

Learn

• Coursera.org: a global online learning platform that offers anyone, anywhere, access to online courses and degrees from leading universities and companies. Andrew Ng is the co-founder and main instructor of several machine learning courses and specializations.

  • Machine Learning Specialization | 3 months at 9 hours/week

  • Deep Learning Specialization | 5 months at 8 hours/week

• KDnuggets: a discussion and learning website for Business Analytics, Data Mining and Data Science. KD stands for Knowledge Discovery.

Practice

Machine Learning Challenge Platforms

• Kaggle has 50,000 public datasets and 400,000 public notebooks and is famous for its machine learning competition. CERN compiled a special dataset for the Higgs Boson Machine Learning Challenge and invited the winners to present their results.

• DrivenData works on projects at the intersection of data science and social impact, in areas like international development, health, education, research and conservation, and public services.

We Love Data

Some repository with data to play with:

• Africa: opendataforafrica.org

• The world: dataportals.org

• Wikipedia: List of datasets for machine-learning research

• UC Irvine Machine Learning Repository

• Finance and Economics: data.nasdaq.com

Connect: organizations

Africa and Machine Learning

• The Africa-Canada AI & Data Innovation Consortium, ACADIC. The mission is to mobilize Artificial Intelligence and Big Data techniques in an ethical way to build equitable, resilient governance strategies and increase societal preparedness for future global pandemics and climate disasters.

• machinelearningafrica.com: provides insight into emerging machine learning technologies and their inevitable impact in transforming Africa.

• The Machine Intelligence Institute of Africa (MIIA): a non-profit organization that aims to transform and build an AI-powered Africa through a strong and collaborative community in the African Artificial Intelligence ecosystem.

Worldwide

• MILA, the Montreal Institute for Learning Algorithms: research institute that focuses on machine learning and artificial intelligence. It is known for its strong research program and has produced many influential papers in the field. MILA is located in Montreal, Canada.

• The Massachusetts Institute of Technology Artificial Intelligence Laboratory (CSAIL): located in Cambridge, Massachusetts, the MIT Artificial Intelligence Laboratory is a world-renowned research institute that focuses on a wide range of artificial intelligence and machine learning topics.

• The Stanford Artificial Intelligence Laboratory (SAIL): located in Stanford, California, SAIL is a research institute that focuses on artificial intelligence, machine learning, and related fields. It has a strong history of producing influential research and has produced many influential researchers in the field.

• The University of Toronto Artificial Intelligence Institute (UTAI): research institute that focuses on a wide range of artificial intelligence and machine learning topics. It is known for its strong research program and has produced many influential papers in the field.