Training better Deep Learning Models for Structured Data using Semi-supervised Learning

In this post, we will use semi-supervised learning to improve the performance of deep neural models when applied to structured data in a low data regime. We will show that by using unsupervised pre-training we can make a neural model perform better than gradient boosting.

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The hype around Machine Learning algorithms and why you need to know them

Boosting algorithms. The very concept of the word boosting emerged from the field of machine learning. Unlike many machine learning models, they all focus on providing high-quality prediction based on one single model. But with boosting algorithms, such predictions can be improved by training sequences of weak models.

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