August 2015

Machine Translation Overview

Machine Translation Overview

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Imagine you are at a restaurant in a foreign country, and by trying to avoid tourist traps, you found yourself at a nice local restaurant in a quiet neighborhood, no tourists except for you. The only problem is that the menu is in a foreign language… no English menu. What’s the problem, actually? Pick your favorite machine translation system (Google Translate, Bing Translator, BabelFish, etc.) and translate the menu to a language you understand! So, there’s no need […]

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Calculus on Computational Graphs: Backpropagation

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Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with gradient descent as much as ten million times faster, relative to a naive implementation. That’s the difference between a model taking a week to train and taking 200,000 years. Beyond its use in deep learning, backpropagation is a powerful computational tool in many other areas, ranging from weather forecasting to analyzing numerical stability – it just goes […]

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Understanding LSTM Networks

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Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again. Your thoughts have persistence. Traditional neural networks can’t do this, and it seems like a major shortcoming. For example, imagine you want to classify what kind of event is happening at every point in a movie. It’s unclear how a traditional neural […]

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Python, Machine Learning, and Language Wars

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This has really been quite a journey for me lately. And regarding the frequently asked question “Why did you choose Python for Machine Learning?” I guess it is about time to write my script. In this article, I really don’t mean to tell you why you or anyone else should use Python. But read on if you are interested in my opinion.

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Probability

Probability

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How likely are you to read this through? If your answer is a numerical value between 0 and 1, you may skip this post. You already know the material. Why am I writing about probability? First of all, because I really LOVE probability. If you don’t, I hope that by the end of this post you would like it a little bit more. Second, we use probability in everyday life: when we plan an outdoor activity, we estimate the probability of […]

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Supervised Learning

Supervised Learning

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If mathematics is both the queen and servant of science, then machine learning must be the princess and the maid of AI (artificial intelligence). The main goal in AI is to develop software capable of intelligent behavior, for example, a self-driving car. One of the definitions of intelligent behavior is the ability to learn from “experience” (given data) and develop a model that can understand and react to new data. This goal is achieved with machine learning. This post […]

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