15 Ways Machine Learning Will Impact Your Everyday Life
Artificial intelligence (AI) and machine learning is now considered to be one of the biggest innovations since the microchip. AI used to be a fanciful concept from science fiction, but
Explainers
Open Source vs Commercial Machine Learning Software
At the start of any machine learning project, you face an important choice: Which language or software should I use? Well, you have many options to choose from. Python, R, SAS, MATLAB…
Overfitting in Machine Learning: What It Is and How to Prevent It
Did you know that there’s one mistake… ...that thousands of data science beginners unknowingly commit? And that this mistake can single-handedly ruin your machine learning model? No, that’s not an exaggeration. We’re talking
Best Practices for Feature Engineering
Feature engineering, the process creating new input features for machine learning, is one of the most effective ways to improve predictive models. Coming up with features is difficult, time-consuming, requires expert
How to Handle Imbalanced Classes in Machine Learning
Imbalanced classes put "accuracy" out of business. This is a surprisingly common problem in machine learning (specifically in classification), occurring in datasets with a disproportionate ratio of observations in each class. Standard accuracy no longer reliably measures performance,
WTF is the Bias-Variance Tradeoff? (Infographic)
Overheard after class: "doesn't the Bias-Variance Tradeoff sound like the name of a treaty from a history documentary?" Ok, that's fair... but it's also one of the most important concepts to understand
Dimensionality Reduction Algorithms: Strengths and Weaknesses
Welcome to Part 2 of our tour through modern machine learning algorithms. In this part, we'll cover methods for Dimensionality Reduction, further broken into Feature Selection and Feature Extraction. In general,
Modern Machine Learning Algorithms: Strengths and Weaknesses
In this guide, we'll take a practical, concise tour through modern machine learning algorithms. While other such lists exist, they don't really explain the practical tradeoffs of each algorithm, which we hope to do
The 5 Levels of Machine Learning Iteration
Can you guess the answer to this riddle? If you've studied machine learning, you've seen this everywhere... If you're a programmer, you've done this a thousand times... If you've practiced any skill, this