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Articles sur l'apprentissage automatique

Obtenez des informations et des bonnes pratiques sur l'IA et l'apprentissage automatique afin de favoriser la transformation des données, d'améliorer les compétences et de créer des cultures de données. Découvrez comment vous pouvez utiliser les ML dans votre travail.
Autres thèmes :
Analyse des donnéesApprentissage automatique et IAApprentissage profondBig DataCloudCompétences et formation en matière de donnéesDataLabDéveloppement de carrièreGouvernance des donnéesIngénierie des donnéesL'IA pour les entreprisesLeadership éclairéMaîtrise des donnéesMLOpsRécit de donnéesScience des donnéesServices d'orientation professionnelleTransformation des donnéesVisualisation des données
GroupFormation de 2 personnes ou plus ?Essayer DataCamp for Business

Data Science in Banking: Fraud Detection

Learn how data science is implemented in the banking sector by exploring one of the most common use cases: fraud detection.
Elena Kosourova's photo

Elena Kosourova

21 mars 2022

The Past, Present, and Future of MLOps

MLOps is not just for data experts but for everyone from data teams to SMEs and to IT. Here's the rundown on why MLOps is important, what problems it aims to solve, and how in this jargon-free blog post.

Kevin Babitz

30 juillet 2021

GPT-3 and the Next Generation of AI-Powered Services

How GPT-3 expands the world of possibilities for language tasks—and why it will pave the way for designers to prototype more easily, streamline work for data analysts, enable more robust research, and automate content generation.
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Adel Nehme

6 novembre 2020

How to Ethically Use Machine Learning to Drive Decisions

Having good quality data requires strong data foundations, along with a commitment to monitoring models and removing bias.
Joyce Chiu's photo

Joyce Chiu

31 août 2020

Measuring Bias in Machine Learning: The Statistical Bias Test

This tutorial will define statistical bias in a machine learning model and demonstrate how to perform the test on synthetic data.
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DataRobot Inc

5 mai 2020

How to Make Time for Learning—Without Losing Productivity

Find out how to prioritize continuous learning to influence business outcomes and reach your own professional goals.
Joyce Chiu's photo

Joyce Chiu

4 mai 2020

Artificial Intelligence (AI) vs Machine Learning (ML): A Comparative Guide

Check out the similarities, differences, uses and benefits of machine learning and artificial intelligence.
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Matt Crabtree

21 septembre 2023

The Many Business Applications of Machine Learning

Learn why machine learning is so crucial to conducting better business, and how our new machine learning scientist career tracks can help you tackle your business problems.
Joyce Chiu's photo

Joyce Chiu

2 décembre 2019