The Startup Founder’s Guide to Analytics
This article was written by Tristan Handy. Tristan is the founder and president of Fishtown Analytics: helping startups implement advanced analytics. I’m very confident...
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PySpark Cheat Sheet: Spark in Python
Apache Spark is generally known as a fast, general and open-source engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph p...
Feature Engineering with Tidyverse
In this blog post, I will discuss feature engineering using the Tidyverse collection of libraries. Feature engineering is crucial for a variety of reasons, and it requi...
Advanced Machine Learning with Basic Excel
In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniqu...
Advanced Machine Learning with Basic Excel
In this article, I present a few modern techniques that have been used in various business contexts, comparing performance with traditional methods. The advanced techniqu...
Book: Evaluating Machine Learning Models
Data science today is a lot like the Wild West: there’s endless opportunity and excitement, but also a lot of chaos and confusion. If you’re new to data science and a...
What is Regression Analysis?
Guest blog by Kevin Gray.. Kevin is president of Cannon Gray, a marketing science and analytics consultancy. Regression is arguably the workhorse of statistics. Despit...
Understanding and Selecting Recommenders
Summary: In this multi-part series we walk through the full landscape of Recommenders. In this article we cover business considerations as well as issues for Recommen...
DSC Webinar Series: Human-in-the-Loop Deep Learning
AI systems need to continually learn from new data to perform well in real-world scenarios. However, it is non-trivial to decide what new data needs to be labeled for tra...
27 Great Articles About Machine Learning Algorithms
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...