Category
Technologies
AI Tutorials
Keep up to date with the latest techniques, tools, and research in artificial intelligence. Out AI tutorials will walk you though challenging machine learning models.
Other technologies:
Deep Learning (DL) vs Machine Learning (ML): A Comparative Guide
In this tutorial, you'll get an overview of Artificial Intelligence (AI) and take a closer look in what makes Machine Learning (ML) and Deep Learning different.
Matt Crabtree
February 29, 2024
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
February 28, 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
October 15, 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
September 11, 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
June 21, 2018
TensorBoard Tutorial
Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
Thushan Ganegedara
June 6, 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
May 9, 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
March 29, 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
February 2, 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
December 5, 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
October 13, 2017