Quick start for Golang, Google Cloud API, and Speech Recognition
Speech recognition is becoming increasingly powerful and helpful to developers across the world. In this short article, I would like to demonstrate how easy it is to set up in your own web application using Google’s powerful speech API. I will assume you have basic programming experience. To get... Read more
Exploring Scikit-Learn Further: The Bells and Whistles of Preprocessing
In my previous post, we constructed a simple cross-validated regression model using Scikit-Learn in 35 lines. It’s pretty amazing that we can perform machine learning with so little effort, but we just did the bare minimum in order to get a working model. Frankly, it didn’t even perform that well.... Read more
The Beginner’s Guide to Scikit-Learn
Scikit-Learn is one of the premier tools in the machine learning community, used by academics and industry professionals alike. At ODSC West, Scikit-Learn author Andreas Mueller will host a training session to give beginners a crash course.  As one of the primary contributors to Scikit-Learn, Mueller is one of... Read more
Sentiment Analysis in R Made Simple
Sentiment analysis is located at the heart of natural language processing, text mining/analytics, and computational linguistics. It refers to any measurement technique by which subjective information is extracted from textual documents. In other words, it extracts the polarity of the expressed sentiment in a range spanning from positive to... Read more
Organizing Your Next Data Science Project to Minimize Headaches
Call it the data scientist’s curse, but every practitioner has had a project that became unmanageable at some point because of poor organizational choices early on. We’ve all been at our desks at 2 a.m. changing values and re-running our scripts for the 80th time in an hour, asking... Read more
Google Dataset Search Launched to Help Analysts Scour Repositories
Google Dataset Search is a new product in the beta phase that you can use to find datasets published online. The single interface allows you to search repositories worldwide. Imagine you start a new analytics project. For example, let’s say you want to explore numbers pertaining to Boston Public Schools. Before... Read more
An Introduction to Sentence-Level Sentiment Analysis with sentimentr
Sentiment analysis algorithms understand language word by word, estranged from context and word order. But our languages are subtle, nuanced, infinitely complex, and entangled with sentiment. They defy summaries cooked up by tallying the sentiment of constituent words. Unsophisticated sentiment analysis techniques calculate sentiment/polarity by matching words back to a... Read more
All the Best Parts of Pandas for Data Science
Pandas has been hailed by many in the data science community as the missing link between Python and analysis, a tool that can be leveraged in order to dramatically reduce overhead in data science projects, increase understandability and speed up workflows.   Pandas comes loaded with a wide range... Read more
K-Means Clustering Applied to GIS Data
GIS can be intimidating to data scientists who haven’t tried it before, especially when it comes to analytics. On its face, mapmaking seems like a huge undertaking. Plus esoteric lingo and strange datafile encodings can create a significant barrier to entry for newbies. There’s a reason why there are experts who... Read more
TensorLayer for Developing Complex Deep Learning Systems
This article describes TensorLayer, a modular Python wrapper library for TensorFlow allowing data scientists to streamline the development of complex deep learning systems. TensorLayer was released in September 2016 with a GitHub repo. A descriptive research paper followed in August 2017: TensorLayer: A Versatile Library for Efficient Deep Learning... Read more