Alex Castrounis

Alex Castrounis

Founder and President at InnoArchiTech

Bio: Alex Castrounis is a product and data science leader, technologist, mentor, educator, speaker, and blogger. He has held leadership roles in data science, software architecture and engineering, and product management. Alex spent ten years as a race strategist, data scientist, vehicle dynamicist, and software engineer for IndyCar and Indianapolis 500 racing teams. He was a race strategist for over 100 races, including six Indianapolis 500s, and has worked with several successful IndyCar drivers and team owners. He also created and writes for InnoArchiTech, www.innoarchitech.com, which covers topics related to Alex's interests and expertise. These are data science, artificial intelligence, machine learning, big data, IoT, scalable software, product design, and product management.

Machine Learning: An In-Depth Guide – Model Evaluation, Validation, Complexity, and Improvement

Machine Learning: An In-Depth Guide – Model Evaluation, Val...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the third article in a five-part series about machine learning. In this article, we’ll continue our machine learning discussion, and […]

Data Science, AI, Machine Learning Cheat Sheets

Data Science, AI, Machine Learning Cheat Sheets

A curated set of resources for artificial intelligence (AI), machine learning, data science, big data, internet of things (IoT), and more.   Python Pandas Cheat Sheet – Python for Data Science NumPy Cheat Sheet – Python for Data Science Bokeh Cheat Sheet – DataCamp PySpark Cheat Sheet: Spark in Python R RStudio Cheat Sheet Collection […]

Machine Learning: An In-Depth Guide – Data Selection, Preparation, and Modeling

Machine Learning: An In-Depth Guide – Data Selection, Prepa...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome to the second article in a five-part series about machine learning. In this article, we will briefly introduce model performance concepts, […]

Machine Learning: An In-Depth Guide – Overview, Goals, Learning Types, and Algorithms

Machine Learning: An In-Depth Guide – Overview, Goals, Lear...

Articles Overview, goals, learning types, and algorithms Data selection, preparation, and modeling Model evaluation, validation, complexity, and improvement Model performance and error analysis Unsupervised learning, related fields, and machine learning in practice Introduction Welcome! This is the first article of a five-part series about machine learning. Machine learning is a very hot topic for many […]

What Is Data Science, and What Does a Data Scientist Do?

What Is Data Science, and What Does a Data Scientist Do?

Introduction What profession did Harvard call the Sexiest Job of the 21st Century? That’s right… the data scientist. Ah yes, the ever mysterious data scientist. So what exactly is the data scientist’s secret sauce, and what does this “sexy” person actually do at work every day? This article is intended to help define the data […]