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Machine Learning and AI
Just for Fun
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From Decision Trees and Random Forests to Gradient Boosting
Suppose we wish to perform supervised learning on a classification problem to determine if an incoming email is spam or not spam. The spam dataset consists of 4601 emails, each labelled as real (or…
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If you are a beginner and don’t necessarily have formal education in higher mathematics, creating a curriculum for yourself is hard. This post's goal is to present a roadmap, taking you from absolute ... View More
The Roadmap of Mathematics for Deep Learning
Knowing the mathematics behind machine learning algorithms is a superpower. If you have ever built a model for a real-life problem, you probably experienced that being familiar with the details can…
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Instructed by Yann LeCun and Alfredo Canziani, this course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding... View More
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It's not really AI, you can use something as simple as cosine similarity.
How artificial intelligence may be making you buy things
Retailers are increasingly using AI to try to predict and encourage what customers purchase.
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Support Vector Machines explained
In this post we will unveil all the magic of what goes on in an SVM, cover a little bit of their history, and clarify when they should and should not be used. We will go through the theory and…
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Distance Metrics for Machine Learning
The most common Distance Metrics for Machine Learning and how to implement them in Python!
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How to Build a Twitter Sentiment Analysis System | Lionbridge AI
Twitter sentiment analysis is the process of analyzing tweets and classifying them as positive, negative, or neutral based on their content. In this article, we’ll build a machine learning model speci...
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The ‘deep fake’ scare is more dangerous than AI-tech behind it
News outlets are panicking over deep fakes. But they ignore the benefits of synthetic media and thus risk missing the real danger
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