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A Path from Geoscience into ML Jesper Dramsch

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If You Take One Thing Away Become a T-shaped person and stay curious. Become knowledgeable in many topics and an expert in a few. Make connections and share what you learn. Build a portfolio of projects and probably learn coding.

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Where are we going today? ● My Background ● What’s Machine Learning? ● Geo to ML?! ● What’s important in ML?

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My Path

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My Path BSc in Geophysics Hamburg, Germany 2011

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My Path MSc in Geophysics Hamburg, Germany 2014 BSc in Geophysics Hamburg, Germany 2011

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My Path MSc in Geophysics Hamburg, Germany 2014 PhD in Geophysics Technical University of Denmark 2019/2020 BSc in Geophysics Hamburg, Germany 2011

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My (linearized) Path MSc in Geophysics Hamburg, Germany 2014 PhD in Geophysics (ish) Technical University of Denmark 2019/2020 BSc in Geophysics Hamburg, Germany 2011

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My Path MSc in Geophysics Hamburg, Germany 2014 PhD in Geophysics (ish) Technical University of Denmark 2019/2020 Machine Learning Engineer GMV 2020! BSc in Geophysics Hamburg, Germany 2011

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My Path MSc in Geophysics Hamburg, Germany 2014 PhD in Geophysics (ish) Technical University of Denmark 2019/2020 Machine Learning Engineer GMV 2020! BSc in Geophysics Hamburg, Germany 2011

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My Path MSc in Geophysics Hamburg, Germany 2014 PhD in Geophysics (ish) Technical University of Denmark 2019/2020 Machine Learning Engineer GMV 2020! BSc in Geophysics Hamburg, Germany 2011 The interesting bit.

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Why switch careers? Rocks are nice you know.

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BSc in Geophysics

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MSc in Geophysics BSc in Geophysics

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MSc in Geophysics BSc in Geophysics PhD in 2020

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Don’t need that in my life (Also climate change...)

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What is Machine Learning? And why should I care?

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if x > 5 Classical rule-based and expert systems

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Computers figure it out based on the data

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Models that do not have external information Blackbox models

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Some seismic data

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An “inversion”

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Self-driving cars

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Neural Networks The new hype that is older than all of us

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A neural network

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A neural network

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What is AI, ML, and Deep Learning?

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A neural network as it is used today

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The learned filters

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What is the connection Why do we care in geoscience?!

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Matching of seismic data

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The differences between unmatched and matched

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Compared to a baseline method

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● Generating Synthetic Data ● Earthquake localisation ● Drill Core Processing ● Clustering of Well Data ● Prediction of Volcanic activity ● Satellite Data What else though?

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How did I change careers?

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Start Projects Application > Theory ● Participate in Hackathons ● Build Apps ● Compete on Kaggle ● Get familiar with the Math

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Build a breadth of knowledge Dive deep in some expertise

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