Notes from Coursera's Data Structures and Performance by Christine Alvarao, Leo Porter and Mia Minnes.

Contents

• Week 1 - Introduction to the Course
• Week 2 - Working …

Part of the Machine Learning Specialisation.

Contents

• Week 1 - Linear Classifiers & Logistic Regression
• Week 2 - Learning Linear Classifiers
• Week 3 - Decision Trees
• Week 4 - Preventing …

For some data relationships in Postgres (or any other relational database that speaks SQL), recursive queries are near inevitable. Let's say you have some top-level …

Mean Absolute Difference (MAE) is a function for assessing Regression predictions. It's also as L1 Loss because it takes the L1 Norm of the error …

Notes taken during ML Regression by Coursera.

Linear Algebra Refresher

Matrices and Vectors

• Denoted by n x m (n rows, m columns).

Special Matrices

• Square …

Root mean-squared error (RMSE) is a function for assessing Regression predictions. Sometimes called L2 Error because it takes the L2 Norm of the error vector …

Notes from Coursera's Machine Learning Foundations: A Case Study Approach by Emily Fox and Carlos Guestrin

Coursera Verified Certificates, License GKNAYZY4TH, October 2013

Full course write up available here

Notes

• Computational Investing Part I (Coursera) - Week 1
• Computational Investing Part I …

Statistics (Udacity - st095)

Contents

• Lesson 1: Intro to Statistical Research Methods
• Lesson 2: Visualizing Data
• Lesson 3: Central Tendency
• Lesson 4: Variability
• Lesson 5: Standardizing …

These notes were taken from the in-person course completed in 2013 and were used to get the following certs:

• RHCSA - obtained 2013-08-09 (130-134-935)
• RHCE - obtained …