Machine Learning Pitfalls – 5 Common Myths and How to Avoid Them

Machine Learning Pitfalls – 5 Common Myths and How to Avoid Them

Written by Alan Estes, Director, DecisivEdge™ Machine learning (ML) is taking the IT world by storm. One of the hottest phrases in the 21st century, the term was actually coined in 1959 by Arthur Samuel, who defined ML as a “field of study that gives computers the ability to learn without being explicitly programmed.” While… Read more »

The Evolution of High Capacity Frameworks and Platforms for Machine Learning

The Evolution of High Capacity Frameworks and Platforms for Machine Learning

Written by Alan Estes, Director, DecisivEdge™ Big data frameworks and the accessibility of cloud computing has democratized data science. Data processing frameworks have evolved such that exceedingly large data sources can be consumed, processed, and modeled. Coupled with cloud-based solutions, the processing times now afford the data scientist to focus on core data science problem… Read more »

The Importance of Reproducibility in Machine Learning applications

The Importance of Reproducibility in Machine Learning applications

Written by Alan Estes, Director, DecisivEdge™ When science’s reproducibility crisis hit, its impact went far beyond creating distrust. A large number of published experiments couldn’t be carried out by other researchers to obtain the same results. For scientists, this was a failure of wasted time and money. A company experiencing a reproducibility crisis involving machine… Read more »