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The article guides you through the implementation of a neural network in JavaScript with Google's deeplearn.js library. In general, it should show how machine learning can be achieved in JavaScript.

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The article guides you through implementing a logistic regression with gradient descent algorithm in JavaScript to solve a classification problem. You should read the article about linear regression with gradient descent before diving into logistic regression.

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The article guides you through implementing normal equation as alternative to gradient descent to solve a regression problem in JavaScript. You should learn about gradient descent before diving into this topic.

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The article guides you through implementing linear regression with gradient descent in a multivariate training set in JavaScript. It shows the vectorized implementation of the algorithm and performs feature scaling by using standardization before applying the learning algorithm.

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The article guides you through implementing a vectorized implementation of gradient descent for a regression problem in JavaScript. You should be familiar with gradient itself by reading the introductory article before diving into this topic.

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When using gradient descent as learning algorithm for a regression problem, there are several ways to improve it. In the beginning, it is often unclear how to optimize it. This article shows it by choosing the right learning rate and initial parameters, applying feature scaling and vectorization.

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The article showcases how to setup an automated Slack invitation for a JavaScript and/or React application. Why would you want an automated Slack invitation in the first place? My personal motivation was it to create a like minded community of people learning React, but the idea about a Slack Channel started out on Twitter

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There a various tutorials showing you how to host your web applications with a couple of lines on any hosting solution. But that's it. You are able to host your application somewhere, but there are a lot of open questions. What about using an own domain? What about securing it with SSL? What about hosting multiple applications side by side yet keeping it cost efficient by not taking up to much ressources? This article should fill the void and provide you a solution on how to host multiple applications on Digital Ocean.

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Machine learning often starts out with a linear regression and gradient descent in an univariate training set. But often your data correlation isn't linear. That's where polynomial regression comes into play and selecting a model type to fit your underlying data.

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The articles gives you a huge brain dump of mine about why I built my own course platform, what I used to accomplish it, what challenges I faced, and what decisions I had to make along the way. The article aims to give you a couple of valuable insights into launching your own platform, a web application or in general your own product

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Never miss an article about web development and self-growth.

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