Chapter 1 - Machine Learning Introduction

1.01 Introduction (20 min.) Sample Lesson Quiz: 1.01 Introduction
1.02 Regression (14 min.) Quiz: 1.02 Regression
1.03 Algorithms (14 min.) Quiz: 1.03 Algorithms
1.04 Why Use Machine Learning? (18 min.) Quiz: 1.04 Why Use Machine Learning?
1.05 Predicting Latitude & Longitude from a UWI (9 min.)
1.06 Measuring Performance (24 min.) Quiz: 1.06 Measuring Performance
1.07 Cross-Validation (12 min.) Quiz: 1.07 Cross-Validation
1.08 Noise, Bias and Missing Information (18 min.) Quiz: 1.08 Noise, Bias and Missing Information
1.09 Sample Size (10 min.) Quiz: 1.09 Sample Size

Chapter 2 - Building and Interpreting Models

2.01 Feature Engineering (12 min.) Quiz: 2.01 Feature Engineering
2.02 Feature Selection (10 min.) Quiz: 2.02 Feature Selection
2.03 Model Interpretation (21 min.)
2.04 Liquids Rich Montney Case Study (23 min.)

Chapter 3 - Upstream Oil and Gas Example Workflow

3.01 Exploratory Data Analysis (27 min.)

Introduction to Machine Learning for Upstream Oil & Gas / Chapter 1 - Machine Learning Introduction

Quiz 1.01 Introduction

In order to assess your understanding of the lesson materials, please select the most appropriate answer for each of the multiple choice questions below.

Question 1/2
Which of the following statements is most accurate?
- There is no universally accepted definition for what a Data Scientist is
- Artificial intelligence is a type of machine learning
- Machine learning is a subset of deep learning
- Like engineering or geoscience, the data science profession is widely regulated

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