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Tutoriais de IA
Mantenha-se atualizado com as mais recentes técnicas, ferramentas e pesquisas em inteligência artificial. Nossos tutoriais de IA orientarão você em relação a modelos desafiadores de aprendizado de máquina.
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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 de fevereiro de 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
15 de outubro de 2018
Deduce the Number of Layers and Neurons for ANN
There is an optimal number of hidden layers and neurons for an artificial neural network (ANN). This tutorial discusses a simple approach for determining the optimal numbers for layers and neurons for ANN's.
Ahmed Gad
11 de setembro de 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
21 de junho de 2018
TensorBoard Tutorial
Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
Thushan Ganegedara
6 de junho de 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!
DataCamp Team
9 de maio de 2018
Tidy Sentiment Analysis in R
Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!
Debbie Liske
29 de março de 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
2 de fevereiro de 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
5 de dezembro de 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
13 de outubro de 2017