Expert Contributors Articles

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Noa Heinrich Noa Heinrich
Updated on March 15, 2023

What Is Python Machine Learning: Getting Started with Python

Beginning in machine learning calls for a beginner language — here's a Python machine learning 101.

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James Le James Le
Updated on March 15, 2023

10 Data Mining Techniques Data Scientists Need for Their Toolbox

Data mining is a must-know when working with big data. Here are 10 techniques to use.

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Vihar Kurama Vihar Kurama
Updated on March 15, 2023

A beginner's guide to supervised learning with Python

The ultimate goal of the supervised learning algorithm is to predict Y with the max accuracy for a given new input X. Here's how that works.

Niklas Donges Niklas Donges
Updated on March 15, 2023

Intro to Descriptive Statistics for Machine Learning

What you need to know to get started with descriptive statistical analysis.

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Shannon Hogue Shannon Hogue
Updated on March 15, 2023

Three Tips For Reducing Bias When Hiring Software Engineers Virtually

Bias-test your questions, train your interviewers on clear communication and implement standardized scoring rubrics.

David Vandegrift David Vandegrift
Updated on March 15, 2023

The Ideal Interview Template for Software Engineers

Forget brainteasers, white-boarding and knowledge quizzes. 4Degrees CTO David Vandegrift shares his ideal template for hiring the best technical talent.

Vihar Kurama Vihar Kurama
Updated on March 15, 2023

What Is Linear Regression? Explaining Concepts and Applications With Tensorflow 2.0.

An in-depth look at linear regression analysis with TensorFlow 2.0.

Meriam Kharbat Meriam Kharbat
Updated on March 15, 2023

A Plea for Product Engineers

While good product owners have a natural ability to guide product vision, failing to communicate with engineers during the initial ideation phase is a waste of time, opportunity and talent. And it may eventually cause a project to combust.

Edward Hearn Edward Hearn
Updated on March 15, 2023

Are Companies Investing Too Much in Digital Infrastructure?

In the big data arms race, companies might be tempted to invest heavily in sophisticated predictive models. But when it comes to forecasting, bigger isn’t always better.