Subject archive for "machine-learning," page 7
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
Reinforcement Learning Introduction: Foundations and Applications
Introduction
By Nikolay Manchev17 min read
7 Important Machine Learning Techniques and Algorithms
At the core of every machine learning model are the algorithms that power them, consuming the data and providing you with the answers you need. In machine learning (ML) today, there are countless algorithms being used, each designed to find solutions to different problems. Before you can determine which algorithm, or algorithms, are going to do the job, it’s important to understand what your options are.
By David Weedmark8 min read
What is the Data Science Lifecycle for Data Science Projects?
Data science is an incredibly complex field. When you factor in the requirements of a business-critical machine learning model in a working enterprise environment, the old cat-herding meme won’t even get a smile.
By David Weedmark12 min read
The Role of Model Governance in Machine Learning and Artificial Intelligence
By David Weedmark8 min read
Explaining black-box models using attribute importance, PDPs, and LIME
By Nikolay Manchev17 min read
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