I recently came across an innovative use of AI image recognition, which details the use of a neural network to detect seal/cod worm parasites in codfish fillets. If you like sushi, it’s a queasy fact that fish can have live parasites, and these can infect humans. Most fish is deep-frozen to -20c to kill parasites […]
Sometimes the ‘factual’ data you are given is just bad. A project to categorize World Health documents using AI doesn’t yield expected results, and a deep dive into the data shows that the training document categorizations were often inaccurate. In several cases, documents classified under ‘water’ had zero keywords of ‘water’, ‘liquid’, ‘thirst’, or ‘drought’.
When Water isn’t Water Read More »
Courses completed between November 2019 and Jan 2020. Machine Learning with Python: This course covered the purpose of Machine Learning and where it applied to the real world and a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms(Regression, Classification, Clustering, Recommender Systems). For the final
IBM AI Engineering Professional Read More »
Courses completed between September 2018 and November 2019. Introduction to Artificial Intelligence(AI): This course covered the fundamentals of Machine Learning, Azure Machine Learning Studio, Text processing, Introduction of Natural Language Processing, Working with Images and Videos, Introduction to Bots, Building Intelligent Bots, and Beyond the Basics. Introduction to Python for Data Science: This course started
Microsoft Professional Program in Artificial Intelligence Read More »