Margriet Groenendijk
Margriet is a Data Scientist and Developer Advocate in the IBM UK team. She develops and presents talks and workshops about data science and AI. She is active in the local developer communities through attending, presenting and organising meetups. She has a background in climate science where she explored large observational datasets of carbon uptake by forests during her PhD, and global scale weather and climate models as a postdoctoral fellow.
Talks I've Given
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The IBM Developer Model Asset Exchange: Deep Learning for Everyone
Featuring Margriet Groenendijk
The Model Asset eXchange (MAX) is a one-stop exchange for data scientists and developers to find and use machine learning models. MAX offers both pre-trained and trainable models that are created with open source machine learning engines like TensorFlow, Keras, PyTorch, and Caffe2. MAX models...
ai data data-science ibm deep-learning machine-learning -
A Beginners Guide to Weather and Climate Data
Featuring Margriet Groenendijk
Weather is part of our everyday lives. Who doesn’t check the rain radar before heading out, or the weather forecast when planning a weekend away? But where does this data come from, what is it made of?
climate bigdata machine-learning models data-science-fest -
Data Science in the Cloud
Featuring Margriet Groenendijk
Data Science covers the complete workflow from defining a question, finding the most suitable data source, identifying the right tools and finally presenting the best possible answer in a clear, engaging manner. But it all starts with having access to the data.
datascience datapalooza ibm cloud