Author archive for David Weedmark, page 2

David Weedmark

David Weedmark is a published author who has worked as a project manager, software developer and as a network security consultant.

Data Science

Top High Impact Machine Learning Applications by Industry

In the last decade, machine learning (ML) models have made organizations all over the world and in every industry more productive, more profitable and better able to serve their clients.

By David Weedmark7 min read

Machine Learning

The Importance of Machine Learning Model Validation and How It Works

Model validation is a core component of developing machine learning or artificial intelligence (ML/AI). While it’s separate from training and deployment, it should pervade the entire data science lifecycle.

By David Weedmark6 min read

Model Management

A Guide to Machine Learning Model Deployment

Machine-learning (ML) deployment involves placing a working ML model into an environment where it can do the work it was designed to do. The process of model deployment and monitoring takes a great deal of planning, documentation and oversight, and a variety of different tools.

By David Weedmark7 min read

Machine Learning

Machine Learning Model Training: What It Is and Why It’s Important

Training a machine learning (ML) model is a process in which a machine learning algorithm is fed with training data from which it can learn. ML models can be trained to benefit businesses in numerous ways, by quickly processing huge volumes of data, identifying patterns, finding anomalies or testing correlations that would be difficult for a human to do unaided.

By David Weedmark8 min read

Machine Learning

A Guide to Machine Learning Model

Machine learning is a subset of artificial intelligence (AI) that uses algorithms to learn from trends, data sets and certain behaviors. This process involves the development of machine learning models that can answer questions, predict future outcomes and solve organizational problems.

By David Weedmark11 min read

Machine Learning

How To Make Data-Driven Predictions with Predictive Modeling

When you hear words like machine learning (ML) or artificial intelligence (AI), one of the first things that comes to mind is correctly predicting future occurrences or answering difficult questions about the present based on past events. At its core, this is what predictive modeling is all about.

By David Weedmark8 min read

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