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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

Machine Learning Introduction for Beginners: Everything You Should Know

What is machine learning? How does it work? How much math is involved? An engineer breaks it all down.

Vihar Kurama Vihar Kurama
Updated on March 15, 2023

Reinforcement Learning With Python: A Guide to Designing and Solving Problems

What is reinforcement learning and how does it work with Python?

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.

Brian Nordli Brian Nordli
Updated on March 15, 2023

As U.S. Grapples With AI, Laws and Regulations Enter Nascent Stages

The future of artificial intelligence is here. Regulations? Not so much.

Mae Rice Mae Rice
Updated on March 15, 2023

21 Data Science Bootcamps You Need to Know

These bootcamps teach data science fundamentals, from programming skills in Python and R to unsupervised machine learning techniques.

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Kate Heinz Kate Heinz
Updated on March 15, 2023

What Is Employee Engagement? Learn the Value of an Engaged Workforce

The value of an engaged workforce and how you can improve yours

Brian Nordli Brian Nordli
Updated on March 15, 2023

Tips for Being an Effective Engineering Manager

The transition from engineer to manager is one of the biggest shifts you can ever make. We asked 3 tech leaders what they've learned along the way.

Nona Tepper Nona Tepper
Updated on March 15, 2023

What Makes a Tech Lead Successful?

Tech leads combine unparalleled technical expertise with people skills. Here’s what you need to know to become one.