Data Science, AI, Machine Learning Cheat Sheets
BlogDeep LearningModelingPredictive AnalyticsStatisticsposted by Alex Castrounis July 17, 2017
A curated set of resources for artificial intelligence (AI), machine learning, data science, big data, internet of things (IoT), and more.
- Python
- R
- Data Science and Machine Learning
- Artificial Intelligence
- Big Data
- Statistics and Mathematics
- Software, Packages, and Libraries
- Shortcuts
- Markup and Syntax
This is a excerpt from a resource list originally posted here.
Alex founded InnoArchiTech, a company focused on technical education, speaking, and writing. At his day job, Alex is the vice president of product and advanced analytics at Rocket Wagon, an enterprise IoT and digital services company. Alex is focused on leveraging artificial intelligence, machine learning, and data science to transform data into value for people and businesses, while also creating exceptionally designed, innovative products. Before working in tech, Alex spent ten years as a race strategist, vehicle dynamicist, and data scientist for IndyCar racing teams and the Indianapolis 500.
What are Tech Layoffs Saying About the AI Industry?
Career Insightsposted by ODSC Team Dec 5, 2023
Python if Not: How to Simplify Conditional Statements in Your Code
Modelingposted by Dario Radečić Dec 5, 2023
9 Ways AI is Enhancing Data Center Security
Modelingposted by Zac Amos Dec 4, 2023
