Web Class: Build a Spam Detector using Text Classification

  Transcript Part 1 Hello everybody my name is Mohit Deshpande, and in this course we’ll be building an AI that would be able to determine if an input email is spam or not. And so you can see in some of the scores that we’re gonna be achieving as we build this AI, 99, … Read moreWeb Class: Build a Spam Detector using Text Classification

Advanced Recurrent Neural Networks

Recurrent Neural Networks (RNNs) are used in all of the state-of-the-art language modeling tasks such as machine translation, document detection, sentiment analysis, and information extraction. Previously, we’ve only discussed the plain, vanilla recurrent neural network. We’ll be discussing state-of-the-art models that are used by companies like Google, Amazon, and Microsoft for language tasks. We’ll first … Read moreAdvanced Recurrent Neural Networks

Recurrent Neural Networks for Language Modeling

Many neural network models, such as plain artificial neural networks or convolutional neural networks, perform really well on a wide range of data sets. They’re being used in mathematics, physics, medicine, biology, zoology, finance, and many other fields. However, there is one major flaw: they require fixed-size inputs! The inputs to a plain neural network … Read moreRecurrent Neural Networks for Language Modeling

Text Classification Tutorial with Naive Bayes

The challenge of text classification is to attach labels to bodies of text, e.g., tax document, medical form, etc. based on the text itself. For example, think of your spam folder in your email. How does your email provider know that a particular message is spam or “ham” (not spam)? We’ll take a look at … Read moreText Classification Tutorial with Naive Bayes

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