Posts
Data science discussions and general updates from Conlan Scientific.
Your Consultancy's Potential as a Data Broker
Modern consulting companies are expected to deliver more than just expertise. They are expected to curate and maintain relevant data about the industries they serve. The smartest ones are turning that knowledge into custom data-as-a-service solutions. They know they can multiply their impact and influence by having a DaaS serve …
Use Machine Learning To Grow Your Lending Business
This post will quickly outline how your can financing business can use machine learning to ... + Document and execute a consistent lending strategy. + Discover which attributes most significantly affect deal performance. + Reduce your susceptibility to fraud from both internal and external actors. ### What Are We Doing? …
Yahoo Finance Recognizes Our Achievements in Financial AI
Link to Yahoo Finance article: https://finance.yahoo.com/news/conlan-scientific-named-top-ai-224600809.html
Conlan Scientific Partners with UVA for Data Science Course
Conlan Scientific is proud to announce that it has partnered with the University of Virginia Department of Statistics to teach STAT 4559: Data Science Practicum during the Spring 2018 semester.
The Arrangement
Chris Conlan and Professor Jeff Holt will co-teach the class to a small group of students. Conlan Scientific …
Avoiding Data Leakage in Machine Learning
To properly evaluate a machine learning model, the available data must be split into training and test subsets. Data leakage occurs when, in one way or another, information regarding the test set inappropriately influences the training or evaluation of the model. This causes us to overestimated the performance of a …
Misconceptions about P-values
P-values are currently the most common metric used to draw conclusions from research. Given this, one would expect they are well-understood and non-controversial. Nothing could be further from the truth. Recently, misconceptions about their use and misinterpretation of their meaning have even triggered a statement from the American Statistical Association …
Chris Conlan Appears on Stocks & Jocks
Listen to Chris Conlan on Chicago's biggest finance radio show, Stocks and Jocks, discussing his new book, Algorithmic Trading with Python. Listen to the show here: Stocks and Jocks: Algo Trading.
Danger in Machine Learning: Human Error
Recently a landmark study[1] was published that claimed to have identified a danger of "black box" machine learning methods. The main message of the article is that there is a trade-off between intelligibility and accuracy. They write that, while models like neural networks often more accurate, it is difficult …
