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Artificial Intelligence (AI)

What is AI? A Quick-Start Guide For Beginners

Find out what artificial intelligence really is with examples, expert input, and all the tools you need to learn more.

Matt Crabtree

September 5, 2023

Most recent
ChatGPT & Generative AI: The Year in Review – Top 17 Moments

November 30, 2023

Trending
Artificial Intelligence (AI)

8 Top Open-Source LLMs for 2024 and Their Uses

Discover some of the most powerful open-source LLMs and why they will be crucial for the future of generative AI
Javier Canales Luna's photo

Javier Canales Luna

November 14, 2023

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Moez Ali

September 12, 2023

Artificial Intelligence (AI)

What is Prompt Engineering? A Detailed Guide

Explore the world of prompt engineering with this essential guide. Understand its significance in AI, the role of a prompt engineer, and the future prospects.
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Matt Crabtree

August 18, 2023

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Data Literacy

Data Demystified: Avoiding the AI Hype Trap

In part 11 of data demystified, we examine how AI is covered in the news, how it can lead to the AI hype trap, and how to not fall into it.
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: Data Visualizations that Capture Relationships

In part nine of data demystified, we’ll dive deep into the world of data visualization, continuing with visualizations that capture relationships.
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: What Exactly is Data?

Welcome to Data Demystified! A blog-series breaking down key concepts everyone should know about in data. In the first entry of the series, we’ll answer the most basic question of them all, what exactly is data?
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: Data Visualizations that Capture Trends

In part eight of data demystified, we’ll dive deep into the world of data visualization, starting off with visualizations that capture trends.
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: Correlation vs. Causation

In part six of data demystified, we’ll break down one of the biggest fallacies in data: Correlation does not imply causation
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: What is A/B Testing?

In part seven of data demystified, we’ll break down one of the most common use cases of statistical analysis in data science: A/B testing.
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: The Difference Between Data Science, Machine Learning, Deep Learning, and Artificial Intelligence

In the third entry of data demystified, we’ll define the most common pieces of jargon you hear in data science today. From machine learning to deep learning, here’s all the subfields of data you need to know.
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: An Overview of Descriptive Statistics

In the fifth entry of data demystified, we provide an overview of the basics of descriptive statistics, one of the fundamental areas of data science.
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: Quantitative vs. Qualitative Data

In the second entry of data demystified, we’ll take a look at the two most common data types: Quantitative vs Qualitative Data. For more data demystified blogs, check out the first entry in the series.
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: The Different Types of AI Bias

In the final part of data demystified, we outline the most common types of AI bias, and why data literacy helps avoid harmful impacts from AI.
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Richie Cotton

September 1, 2022

Data Literacy

Data Demystified: The Four Types of Analytics

In the fourth entry of data demystified, we’ll break down the four types of analytics. From a descriptive to prescriptive, we’ll look at how analytics can answer the most pressing questions.
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Richie Cotton

September 1, 2022