Github, GitLab, and Bitbucket are software version control repositories. These let programmers...
Author - Walker Rowe
Big Data vs Analytics vs Data Science: What’s The...
There is much confusion from people who do not work with the technology what the difference is...
Testing Frameworks: Unit Tests, Functional Tests, TDD & BDD...
Programmers can write unit and functional tests using frameworks. Unit tests test individual lines...
Google Cloud TPUs for ML Acceleration
We already wrote how machine learning frameworks are using NVIDIA GPUs (graphical processing units)...
How Keras Machine Language API Makes TensorFlow Easier
Keras is a Python framework designed to make working with Tensorflow (also written in Python)...
Tuning Machine Language Models for Accuracy
Continuing with our explanations of how to measure the accuracy of an ML model, here we discuss two...
Bias and Variance in Machine Learning
The risk in following ML models is they could be based on false assumptions and skewed by noise and...
Mean Square Error & R2 Score Clearly Explained
Today we’re going to introduce some terms that are important to machine learning: Variance r2...
Getting Started with scikit-learn
Here we explore another machine learning framework, scikit-learn, as well as show how to use...
Spark’s Machine Learning Pipeline: An Introduction
Here we explain what is a Spark machine learning pipeline. We will do this by converting existing...