Diving Deeper into Machine Learning: Exploring Updates, Analysis, and Practical Insights on Our Blog
What is Feature Engineering? Feature engineering is the process of improving a model’s accuracy by using domain knowledge to select and transform raw data’s most relevant variables into features…
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Your machine learning model is only as good as the data you feed into it. That makes data preparation for machine learning (or cleaning, wrangling, cleansing, pre-processing, or any other…
In the world of TV’s Parks and Recreation, few people are as concerned about their image and how they market themselves as Tom Haverford. The erstwhile entrepreneur loves to think…
It takes Marty Byrde less than three episodes of television to go from white-collar embezzler at a major bank to blue-collar money launderer for the Mexican drug cartels. And boy,…
Data science for business is a very different beast than building models in an academic or purely scientific context. You aren’t looking for patterns simply because they’re food for thought,…
When you make accurate predictions, you make smarter business decisions. This is the core value data science offers to marketers. It’s easy to get caught up in the buzzwords, but…
AI has become a buzzword, even as machine learning (ML) and data science push toward automation. We’ve all seen a million articles about how AI will revolutionize this or that,…
A good data scientist is a bit like a good journalist: they know how to ask questions so precise and to the point that there can be no vague, misleading…
We’re living through unprecedented times. Until this moment, organizations were successfully using data science models, machine learning, and other types of AI across the funnel to gain visibility throughout their…
Data science and AI have enormous potential to make your organization run more efficiently and profitably. They can be used to optimize processes, identify emerging risk and fraud attempts, spot…
