Expert Contributors Articles

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James Le James Le
Updated on August 12, 2025

The Top 10 Machine Learning Algorithms to Know

A machine learning algorithm is a set of instructions that enables a system to learn patterns from data and make predictions or decisions without being explicitly programmed for each task. Here are the machine learning algorithms beginners should know.

Expert Contributors
Python for Machine Learning
Data Science
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Richmond Alake Richmond Alake
Updated on August 12, 2025

Bubble Sort Time Complexity and Algorithm Explained

Bubble sort time complexity describes how the bubble sort algorithm’s runtime scales with input size, being O(n²) in average and worst cases and O(n) in the best case when optimized.

Expert Contributors
Javascript Algorithms
Software Engineering Perspectives
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Mike Hyzy Mike Hyzy
Updated on August 12, 2025

What Is Threatcasting?

Threatcasting is a strategic method for anticipating and mitigating risks a decade in advance. Our expert offers an introduction.

Expert Contributors
Cybersecurity
Cybersecurity Incident Response + Handling
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Srishti Saha Srishti Saha
Updated on August 11, 2025

Covariance vs. Correlation: Differences to Know

Covariance indicates the direction of the linear relationship between two variables and how they vary, while correlation measures both the strength and direction of the linear relationship between two variables.

Expert Contributors
Machine Learning
Data Science
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Joe Procopio Joe Procopio
Updated on August 11, 2025

Should You Be Vibe Coding?

Let’s answer the big existential career question that’s hanging over all our heads — yes, but with limits.

Expert Contributors
Management
Founders + Entrepreneurship
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Sparsh Gupta Sparsh Gupta
Updated on August 11, 2025

7 Common Loss Functions in Machine Learning

A loss function in machine learning is a mathematical formula that measures the difference between a model’s predicted output and the actual target value, guiding optimization during training. Here are common loss functions to know and when to use them.

Expert Contributors
Data Science
Machine Learning
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Parag Radke Parag Radke
Updated on August 11, 2025

Forward Chaining vs. Backward Chaining in Artificial Intelligence

Forward chaining and backward chaining are two approaches to designing an expert system for AI that help you solve complex problems. Learn how they work.

Expert Contributors
Data Science
Artificial Intelligence
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Mike Hyzy Mike Hyzy
Updated on August 11, 2025

Futurists Deserve a Seat at the Table

Smart organizations embed forward-looking strategy into every aspect of their work. Here’s how.

Expert Contributors
Forecasting
Product Strategy
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Joe Procopio Joe Procopio
Updated on August 11, 2025

Authenticity Is the Hot, New Startup Marketing Strategy

Don’t look now, but blogs are back.

Expert Contributors
Content
Content Marketing
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Amy Lokey Amy Lokey
Updated on August 08, 2025

How Human-Centered AI Can Improve Trust and Adoption

AI systems may be able to operate more independently, but its success will hinge on how well it empowers the people using it. Our expert details a blueprint for human-centered AI.

Expert Contributors
Design + UX
Machine Learning
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