Skip to main content

How Data Science is Revolutionizing the Trucking Industry

Discover how data science is being used to revolutionize the trucking industry. 

Jan 2018

Photo of Ben Skrainka
Guest
Ben Skrainka

Benjamin S. Skrainka is a computational economist who has been a data scientist since long before there were data scientists.  He has worked on diverse problems which involve computation, data, and theory, such as estimating demand for differentiated products, forecasting, pricing, quantum cosmology, bioinformatics, and more. Currently, a principal data scientist at Convoy, Ben uses good judgment, humor, data, and math to help build their digital freight marketplace. His academic background includes an A.B. in Physics from Princeton, a MSc and PhD in Economics from UCL, and postdoctoral research at the University of Chicago. 


Photo of Hugo Bowne-Anderson
Host
Hugo Bowne-Anderson

Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC.

Related

Top Machine Learning Use-Cases and Algorithms

Machine learning is arguably responsible for data science and artificial intelligence’s most prominent and visible use cases. In this article, learn about machine learning, some of its prominent use cases and algorithms, and how you can get started.
Vidhi Chugh's photo

Vidhi Chugh

15 min

17 Top MLOps Tools You Need to Know

Discover top MLOps tools for experiment tracking, model metadata management, workflow orchestration, data and pipeline versioning, model deployment and serving, and model monitoring in production.
Abid Ali Awan's photo

Abid Ali Awan

13 min

What is TinyML? An Introduction to Tiny Machine Learning

Learn about TinyML, its applications and benefits, and how you can get started with this emerging field of machine learning.
Kurtis Pykes 's photo

Kurtis Pykes

8 min

Supervised Machine Learning Cheat Sheet

In this cheat sheet, you'll have a guide around the top supervised machine learning algorithms, their advantages and disadvantages, and use-cases.
Richie Cotton's photo

Richie Cotton

5 min

Unsupervised Machine Learning Cheat Sheet

In this cheat sheet, you'll have a guide around the top unsupervised machine learning algorithms, their advantages and disadvantages and use cases.
Richie Cotton's photo

Richie Cotton

9 min

Understanding Data Drift and Model Drift: Drift Detection in Python

Navigate the perils of model drift and explore our practical guide to data drift monitoring.
Moez Ali 's photo

Moez Ali

9 min

See MoreSee More