The Ultimate Guide: How to Prepare for AI in Your Business
Introduction
The advent of artificial intelligence (AI) in the business world is not just a fleeting trend; it's a transformative force reshaping how companies operate and...
Recent happenings, industry news and marketing advice
The advent of artificial intelligence (AI) in the business world is not just a fleeting trend; it's a transformative force reshaping how companies operate and...
Recognizing an opportunity to expand their customer base, Red Oak Strategic’s client, a global CPG manufacturer, formed a private equity arm to help develop FinTech...
Time and again, across Red Oak Strategic’s corporate engagements and particularly in the Financial Services industry, our team has found that key stakeholders often lack insight...
Visualizations capable of launching detail views can add value to a data analyst’s user experience. Programming in this kind of...
At Red Oak Strategic, we utilize a number of machine learning, AI and predictive analytics libraries, but one of our favorites is h2o. Not only is it open-source, powerful and...
This post will demonstrate how to use machine learning to forecast time series data. The data set is from a recent Kaggle competition to predict retail sales.
Imagine someone were to mint a new coin and give it to you. You then buy something and give it to someone else, and so on. Every time this coin changes hands, a record of the...
In Part 1, we built an application to geographically explore the 500 Cities Project dataset from the CDC. In this post, we will demonstrate other exploratory data...
This is a tutorial on processing data with regular expressions using Python. It is also a reflection on the advantages and trade-offs that come...
Exploratory data analysis (EDA) is generally the first step in any data science project with the goal being to summarize the main features of the dataset. It helps the analyst...