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…
Read more
What is Supervised Learning in Artificial Intelligence? Supervised learning, also called supervised machine learning, is a subset of artificial intelligence (AI) and machine learning. The goal of supervised learning is to…
We all want our models to be as accurate as possible. While you can’t control every factor that interferes with accuracy, there are two types of “reducible error” that you…
You’ve built your model, you’ve located your data sources, and you’ve done all the initial processing and ETL to get your data how you want it. Now you’re ready —…
It’s getting crowded in fintech. That’s not a new revelation or anything, but it’s a trend that’s had a lot of serious consequences — especially as we start 2021 and…
ECommerce is no stranger to data. Brands that sell online rely heavily on data for targeting customers, creating unique offerings, and setting themselves apart from the pack. Particularly in 2020,…
Your data is teeming with potential insights, ready to be teased out by predictive models. But doing that isn’t only about knowing what questions to ask or how to translate…
Another year gone, and another round of retrospectives and looking back at what was and is coming. Data science had quite the 2020, but like most tech fields, it was…
As they say, the proof is in the pudding, and data preparation is where the pudding is put together. Any mistakes you make here will be baked into your dataset…
A good data science platform alleviates a ton of your data-related headaches. It connects to multiple data sources, including external data sources, and offers ETL tools. Augmented data discovery tools…
