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Technologies

Tutoriels sur l'IA

Tenez-vous au courant des dernières techniques, outils et recherches en matière d'intelligence artificielle. Nos tutoriels sur l'IA vous guideront dans l'utilisation de modèles d'apprentissage automatique complexes.
Autres technologies :
Agents d'intelligence artificielleAWSAzureBases de donnéesChatGPTdbtDockerExcelFeuilles de calculFlocon de neigeGitGoogle Cloud PlatformGrands modèles linguistiquesIA générativeIntelligence économiqueJavaKafkaKubernetesMongoDBMySQLNoSQLOpenAIPostgreSQLPower BIPySparkPythonRSQLSQLiteTableauVisage étreint
GroupFormation de 2 personnes ou plus ?Essayer DataCamp for Business

Stemming and Lemmatization in Python

This tutorial covers stemming and lemmatization from a practical standpoint using the Python Natural Language ToolKit (NLTK) package.

Kurtis Pykes

28 février 2023

Introduction to Cyclical Learning Rates

Learn what cyclical learning rate policy is and how it can improve the training of a neural network.
Sayak Paul's photo

Sayak Paul

15 octobre 2018

Machine Learning and NLP using R: Topic Modeling and Music Classification

In this tutorial, you will build four models using Latent Dirichlet Allocation (LDA) and K-Means clustering machine learning algorithms.
Debbie Liske's photo

Debbie Liske

21 juin 2018

TensorBoard Tutorial

Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
Thushan Ganegedara's photo

Thushan Ganegedara

6 juin 2018

Demystifying Generative Adversarial Nets (GANs)

Learn what Generative Adversarial Networks are without going into the details of the math and code a simple GAN that can create digits!
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DataCamp Team

9 mai 2018

Lyric Analysis with NLP & Machine Learning with R

Dive into the lyrics of Prince's music with R: use text mining and Exploratory Data Analysis (EDA) to shed insight on The Artist's career.
Debbie Liske's photo

Debbie Liske

2 février 2018

Convolutional Neural Networks in Python with Keras

In this tutorial, you’ll learn how to implement Convolutional Neural Networks (CNNs) in Python with Keras, and how to overcome overfitting with dropout.
Aditya Sharma's photo

Aditya Sharma

5 décembre 2017

Web Scraping & NLP in Python

Learn to scrape novels from the web and plot word frequency distributions; You will gain experience with Python packages requests, BeautifulSoup and nltk.
Hugo Bowne-Anderson's photo

Hugo Bowne-Anderson

13 octobre 2017