Articles
Fighting Bugs in Python
Everybody writes bugs. Let's see how to make sure they don't live long with debugging and unit tests. Introduction to pdb and unittest and a few advices for easy and reliable development.
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Sentiment Analysis with a deep convolutional network
Find out if a text is positive or negative
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Remote jupyter notebooks with ssh port forwarding
Access your jupyter notebook server remotely
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Word Embedding and Sentiment Analysis (IMDB)
Word embedding is essential in natural language processing with deep learning. This technique allows the network to learn about the meaning of the words. In this post, we classify movie reviews in the IMDB dataset as positive or negative, and provide a visual illustration of embedding.
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Text Preprocessing For Machine Learning (yelp dataset part 2)
The yelp dataset is large, and it's in text format. Here are detailed explanations and all the code needed to convert it to a numpy array for machine learning.
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Simple Text Mining with Pandas
Prepare the yelp dataset (shop reviews) for natural language processing.
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Overfitting Illustrated
One of the most important issues in machine learning, illustrated in a small 2D classification problem.
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Logistic Regression vs Neural Network: Non Linearities
What are non-linearities and how hidden neural network layers handle them.
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Tuning a Deep Convolutional Network for Image Recognition, with keras and TensorFlow
You would like to try deep learning but don't have a GPU? Or you don't want to install software on your computer? This tutorial is for you, as it requires no specific hardware or software.
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The 1-Neuron Network: Logistic Regression
The most simple neural network. Learn how a neuron is working.
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