Evening Series: Machine Learning Fundamentals for Petroleum Engineers and Geoscientists Using Python

Evening Series: Machine Learning Fundamentals for Petroleum Engineers and Geoscientists Using Python

Data Analytics 4 Week Session
←  SPE - Calgary Section

Data and Analytics:
Machine Learning Fundamentals for Petroleum Engineers and Geoscientists Using Python

Date: 4 Sessions, Evenings
Session 1: Feb 19th, 2020
Session 2: Feb 26th, 2020
Session 3: Mar 3rd, 2020
Session 4: Mar 4th, 2020
Speaker: Amir Ghaderi
Location: Tillyard Auditorium, 715-5th Ave SW
Time: 5:30 PM - 7:30 PM 
Only 30 Seats Available: Sign Up Soon!
Cost:
SPE Members: $135, MITs* & Students: $75
(*MITs - Members in Transition)


Abstract:

The objective of this course is to provide the required foundation to build models based on supervised learning algorithms.

  • Week 1: Machine learning and its theoretical background
    • Use your Python skill to build a binary classifier from scratch (Perceptron and Adaline models)
    • Gradient descent and its variants for linear optimization

 

  • Week 2: Use Scikit-Learn library for classification
    • Logistic Regression
    • Support Vector Machines
    • Decision Tree
    • Ensembled models

 

  • Week 3: Regression
    • Linear Regression
    • Pros and cons of different optimization techniques to obtain equation coefficients
    • Polynomial Regression
    • Model regularization

 

  • Week 4: Data Preparation for Machine Learning
    • Dealing with missing data
    • Nominal vs ordinal features
    • Encoding class labels
    • One-hot encoding
    • Assessing feature importance with random forests

 

Course prerequisite:

  • Student should be comfortable using Python, Numpy, Pandas and Matplotlib
  • Student should have a good understanding of Linear Algebra and be familiar with basics of differential equations


Speaker Bio:

Amir Ghaderi is a reservoir engineer at Enhance Energy Inc., where he manages the optimization of CO2 EOR in carbonate reservoirs.  Amir has extensive experience in reservoir simulation of EOR in conventional and unconventional reservoirs. For the last five years, he has used Python to solve different data analytics problems in his work. He has obtained PhD in petroleum engineering from the University of Calgary in 2013. 


Don't miss out and sign up today - limited seats!



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February 19, 2020
From 5:30 PM to 7:30 PM
SPE Auditorium 715, 5th Ave SW (Main Floor)
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