Machine Learning

Diving Deeper into Machine Learning: Exploring Updates, Analysis, and Practical Insights on Our Blog

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Feature Engineering – A Complete Introduction
Feature Engineering – A Complete Introduction

  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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Machine Learning

ML Initiatives Aren’t Doomed To Fail — If You Build Them Right

Not to sound alarmist or anything, but machine learning (ML) initiatives can be risky. It’s true, they sound amazing, and you hear success stories left and right about the transformative…

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Machine Learning

Without Data, There’s No ML — Why You Should Focus on Data First

Like Italian cooking, data science is all about quality ingredients. It’s not enough to simply have a lot of data; you need to make sure the data you have is…

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Machine Learning

Data Science v Data Analytics — What’s the Difference, and Do You Need Both?

A few years ago, a friend of mine was traveling solo through Kazakhstan when he got chatting to a friendly local who described himself as an emcee. Now, my friend…

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Machine Learning

4 Ways To Know If You’re Using the Right Data Preparation Tools

There’s nothing more frustrating than laboring away at the early stages of your data science project, only to discover that the success of your model is undermined by mistakes or…

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Machine Learning

Machine Learning in Retail: Building Smarter Inventory Models

Who could possibly have known, back in those carefree days of early January 2020, that the best-selling items of the coming months — the products to really fly off the…

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Machine Learning

Conceptualizing a Model To Predict Successful Hires: Reframing the Problem

The bad hire has been a problem in recruiting for as long as we’ve been doing it, but it seems that no matter how we try, it’s hard to predict…

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Machine Learning

How Explorium’s Automated Feature Engineering Improves Your Data Science

So, you’ve built a dataset you’re happy with, and your machine learning (ML) model ready to start making predictions left and right. Easy as pie, right? Well, it depends. Once…

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Machine Learning

4 Steps You Must Take to Prepare for Predictive Model Deployment

When Ford released the Edsel, its brand-new, mid-range model, in 1957, the company was confident it would blow the competition out of the water. After all, Ford had spent ten…

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Machine Learning

How Data Science Could Have Saved Dunder Mifflin’s Sales

For nine seasons of (now classic) television, The Office’s Dunder Mifflin Paper Company somehow managed to skate by in an industry that has been experiencing a long, slow decline as…

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