A commonly asked question in the R community is:

Reorder sections based on pattern in text

In this blog post, we’ll introduce Inference Pipelines, a new feature in Amazon SageMaker that enables you to specify a sequence of steps that are executed in order for each inference request. Using this feature, you can reuse the data processing steps applied in training during inference without the need to maintain two separate copies of the same code. This ensures accuracy of your predictions and reduces development overhead. In our example, we’ll pre-process input data for training and inference using transformers in Apache Spark MLlib and train a machine learning model to predict the condition of a car using Amazon SageMaker’s XGBoost algorithm.

At: Pear Therapeutics Location: San Francisco, CAWeb: peartherapeutics.comPosition: Data Scientist

R Tip: use seqi() for indexing.

Another year, another big soccer/football tournament! This time it’s thetop international competition in Asia, the Asian Cup hosted in theU.A.E. In this blog post I’ll be covering (responsible) web-scraping, data wrangling(tidyverse FTW!), and of course, data visualization with ggplot2.

Curriculum Vitae for R Markdown (vitae)Provides templates and functions to simplify the production and maintenance of curriculum vitae.

Most vignettes are built when a package is built, but there are occasions where you just want to include a pdf. For example when you want to include a paper. Of course there is a package supporting this, but in this post I will show you how to do it yourself with ease.

At: Murmuration Location: New York, NYWeb: www.linkedin.com/company/murmurationinc/aboutPosition: Data Scientist