Ensemble Methods in One Picture
Ensemble methods take several machine learning techniques and combine them into one predictive model. It is a two step process: Generate the Base Learners: Choose any c...
Home » You searched for jobs
Search Results for: jobs
Logistic Regression in One Picture
Logistic regression is regressing data to a line (i.e. finding an average of sorts) so you can fit data to a particular equation and make predictions for your data. This ...
Efficient Tuning of Online Systems Using Bayesian Optimization
This article, written by the Facebook research team, was written by Ben Letham, Brian Karrer, Guilherme Ottoni and Eytan Bakshy. It features some of the techniques used b...
K-nn Clustering Explained in One Picture
This is a simple overview of the k-NN process. Perhaps the most challenging step is finding a k that’s “just right”. The square root of n can put you i...
Determining Sample Size in One Picture
Determining sample sizes is a challenging undertaking. For simplicity, I’ve limited this picture to the one of the most common testing situation: testing for differ...
15 Great Articles about Bayesian Methods and Networks
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
Demystifying the Math of Support Vector Machines (SVM)
This article was written by Krishna Kumar Mahto. So, three days into SVM, I was 40% frustrated, 30% restless, 20% irritated and 100% inefficient in terms of getting my ...
Automated Machine Learning: Myth Versus Realty
Witnessing the data science field’s meteoric rise in demand across pretty much all industries and areas of scientific research, it’s easy to anticipate efforts to cre...
Lessons for a successful career transition from data science immersive graduates
Last month I had an honor to participate in data science project reviews for the new graduates of General Assembly’s Data Science Immersive program. In the span of ...
How to Automatically Determine the Number of Clusters in your Data – and more
Determining the number of clusters when performing unsupervised clustering is a tricky problem. Many data sets don’t exhibit well separated clusters, and two human ...