Destacados
12 alternativas de código abierto a GPT-4
Alternativas de código abierto a GPT-4 que pueden ofrecer un rendimiento similar y requieren menos recursos informáticos para funcionar. Estos proyectos vienen con instrucciones, fuentes de código, pesos del modelo, conjuntos de datos e IU de chatbot.
Abid Ali Awan
16 de febrero de 2024
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Tendencias
Los 9 mejores ejemplos de panel de Power BI
Descubre el potencial de Power BI viendo ejemplos de cuadros de mando y sus distintas funciones
Eugenia Anello
21 de febrero de 2024
Abid Ali Awan
16 de febrero de 2024
DataCamp Team
29 de enero de 2024
Explicación de la detección de objetos YOLO
Comprende la detección de objetos YOLO, sus ventajas, cómo ha evolucionado en los últimos años y algunas aplicaciones reales.
Zoumana Keita
29 de enero de 2024
Todas las publicaciones
Correlation vs. Causation: Understanding the Difference in Data Analysis
Learn the critical difference between correlation and causation in data analysis. Understand real-world examples and avoid common pitfalls in interpreting data.
Richie Cotton
12 de septiembre de 2024
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.
Richie Cotton
1 de septiembre de 2022
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?
Richie Cotton
1 de septiembre de 2022
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.
Richie Cotton
1 de septiembre de 2022
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.
Richie Cotton
1 de septiembre de 2022
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.
Richie Cotton
1 de septiembre de 2022
Announcing Data Literacy Month
This September, we’re dedicating an entire month to covering data literacy. Here’s what you can expect.
Adel Nehme
1 de septiembre de 2022
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.
Richie Cotton
1 de septiembre de 2022
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.
Richie Cotton
1 de septiembre de 2022
How Technical Recruiters Can Stay Competitive in Changing Economic Times
The current market dynamics, state of inflation and fears of a recession have made recruiting for technical talent even more complex. Despite this, there are opportunities for technical recruiters to stay competitive and beat out the competition for top top talent.
Meredith Esquivel
31 de agosto de 2022
Power BI vs Excel: Which Should You Use?
Learn the differences and similarities between Power BI and Excel, and when you should use each.
Joleen Bothma
24 de enero de 2025
15 Best Machine Learning Books to Read in 2026
Machine learning is one of the hottest topics in data science. Here is a list of 15 books to break into the field or become an expert
Javier Canales Luna
31 de mayo de 2024