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Im Rampenlicht

Composer 2.5: Benchmarks, Preise und der Vergleich

Cursors neuestes proprietäres Modell, Composer 2.5, bringt gezieltes RL-Feedback, mehr synthetische Trainingstasks und günstigere Tokenpreise als Spitzenmodelle.

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Khalid Abdelaty

22. Mai 2026

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Composer 2.5: Benchmarks, Preise und der Vergleich

22. Mai 2026

GroupTraining für 2 oder mehr Personen?Probiere es mit DataCamp for Business
Im Trend

12 GPT-4 Open-Source-Alternativen

GPT-4 Open-Source-Alternativen, die eine ähnliche Leistung bieten können und weniger Rechenressourcen für die Ausführung benötigen. Diese Projekte werden mit Anleitungen, Codequellen, Modellgewichten, Datensätzen und Chatbot-UI geliefert.
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Abid Ali Awan

10. September 2024

12 GPT-4 Open-Source-Alternativen

GPT-4 Open-Source-Alternativen, die eine ähnliche Leistung bieten können und weniger Rechenressourcen für die Ausführung benötigen. Diese Projekte werden mit Anleitungen, Codequellen, Modellgewichten, Datensätzen und Chatbot-UI geliefert.
Abid Ali Awan's photo

Abid Ali Awan

10. September 2024

Alle Beiträge

The Importance of Data: 5 Top Reasons

Why is data important? Learn about the importance of data in the world today and discover some courses to help you improve your own data skills.
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Kurtis Pykes

15. September 2022

DataCamp Donates fights climate change: CDP's journey from R to Python

The CDP team provided market-leading environmental data products and services to organizations reporting data on climate change, water security and deforestation.
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Judy Howarth

15. September 2022

A Beginner's Guide to The Machine Learning Workflow

In this infographic, get a download of what the machine learning workflow looks like.
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DataCamp Team

9. September 2022

Top 35 Machine Learning Interview Questions For 2026

Prepare for your interview with this comprehensive guide to machine learning questions, covering everything from basic concepts and algorithms to advanced and role-specific topics.
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Abid Ali Awan

28. Januar 2026

The Top 15 Data Scientist Skills For 2026

A list of the must-have skills every data scientist should have in their toolbox, including resources to develop your skills.
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Javier Canales Luna

30. November 2023

Data Demystified: Data Visualizations that Capture Distributions

In part 10 of data demystified, we’ll dive deep into the world of data visualization, continuing with visualizations that capture distributions.
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Richie Cotton

2. September 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.
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Richie Cotton

1. September 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?
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Richie Cotton

1. September 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.
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Richie Cotton

1. September 2022

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

1. September 2022

Announcing Data Literacy Month

This September, we’re dedicating an entire month to covering data literacy. Here’s what you can expect.
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Adel Nehme

1. September 2022