# Introduction to Machine Learning for Geoscience

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## Time & Location

٠٧ نوفمبر ٢٠٢٠ ٧:٠٠ م – ١٢ نوفمبر ٢٠٢٠ ١١:٠٠ م

Hurghada, Hurghada, Red Sea Governorate, Egypt

## About the Event

What is Data Science:

- Data Science life cycle
- Different types of Data Science jobs
- Data Science example in O&G

● Programming concepts and workflow:

- Coding workflow
- Which language we should start

● Learning Python:

- Why we should learn coding
- Numerical, array operations using (Numpy)
- Data frame operation using (Pandas)
- Plotting using (Matplotlib, Seaborn)
- Geoscience libraries
- Welly
- Segyio

● Machine Learning:

- Machine Learning vs coding
- Machine Learning algorithm types
- Machine Learning algorithms classification
- Examples in Geoscience
- Supervised Machine Learning example
- Linear regression (LM)
- Logistic regression (LR)
- Support vector machine (SVM)
- Clustering Machine Learning example
- K-means
- Principal Component analysis (PCA)
- Random forest (RF)
- Neural Network in theory and Application

Instructor : Mr Amr Abdel Fattah

A versatile and highly skilled Geophysicist has 12 years’ industry experience, and wide ranging expertise from interpretation in exploration and resource development to 3D depth imaging technology development and application using a wide range of geosciences software. experienced in seismic interpretation, prospect generation; computer mapping and 3D visualization.

He has a good command of R programming and data analysis that empowers me to solve technical problems in particular in statistics, Monte Carlo simulation and machine learning.

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