Click to learn more about video blogger Laura Kahn. This is Lesson 11 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]
Data Dimensionality Reduction in the Age of Machine Learning
Click to learn more about author Rosaria Silipo. Machine Learning is all the rage as companies try to make sense of the mountains of data they are collecting. Data is everywhere and proliferating at unprecedented speed. But, more data is not always better. In fact, large amounts of data can not only considerably slow down […]
Ten Myths About Data Science
Click to learn more about author Daniel Jebaraj. Introduction Data Science is now being used as a competitive weapon. As with other technologies and processes that can transform the way companies operate, there’s a lot of contradictory information about it that’s causing considerable confusion. Most of today’s business leaders have heard that Data Science can […]
Data Science in 90 Seconds: Random Forest
Click to learn more about video blogger Laura Kahn. This is Lesson 10 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]
Data Science in 90 Seconds: Decision Trees
Click to learn more about video blogger Laura Kahn. This is Lesson 9 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]
Machine Learning Algorithms: Introduction to Random Forests
Click to learn more about author Alejandro Correa Bahnsen. There are a variety of Machine Learning algorithms, and each has its own strengths and weaknesses. In this second article in a series on Machine Learning algorithms, I introduce Random Forests, a supervised algorithm used for classification and regression. If you missed my Introduction to Machine […]
Introduction to Machine Learning and Decision Trees
Click to learn more about author Alejandro Correa Bahnsen. Almost everyone has heard the words “Machine Learning”, but most people don’t fully understand what they mean. Machine Learning isn’t a single formula that is simply applied to a problem. There are many algorithms to choose from, each of which can be used to achieve different […]