Andy Chang

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Rules of Machine Learning: | ML Universal Guides

Best Practices for ML Engineering<p><i>Martin Zinkevich</i><p>This document is intended to help those with a basic knowledge of machine learning get the benefit …

Machine Learning

Microservices Pattern: A pattern language for microservices

A pattern language for microservices<p>The beginnings of a pattern language for microservice architectures.<p>Application architecture patterns<p>Which …

My Favorite Deep Learning Papers of 2017

Even with so many deep learning papers coming out this year, there were a few publications I felt managed to rise above the rest. Here are the five …

Announcing Prometheus 2.0

Nearly one and a half years ago, we released Prometheus 1.0 into the wild. The release marked a significant milestone for the project. We had reached …

An engineer’s guide to cloud capacity planning

If you’re a small company with big dreams for the future, one of the biggest advantages cloud infrastructure providers have over traditional …

Tensorflow sucks

Introduction<p>Every few months I enter the following query into Google: “Tensorflow sucks” or “f*** Tensorflow”, hoping to find like-minded folk on the …

Deep Learning

To Survive in Tough Times, Restaurants Turn to Data-Mining

The early diners are dawdling, so your 7:30 p.m. reservation looks more like 8. While you wait, the last order of the duck you wanted passes by. Tonight, you’ll be eating something else — without a second bottle of wine, because you can’t find your server in the busy dining room. This is not your …

List-Worthy

Prodigy: A new tool for radically efficient machine teaching

Machine learning systems are built from both code and data. It's easy to reuse the code but hard to reuse the data, so building AI mostly means doing …

leocad: A CAD program for creating virtual LEGO models

How Rust is tested

Rust is a systems programming language with massive ambitions. It is designed for creating the most reliable software, from the tiniest embedded …

Effectively Using Matplotlib

IntroductionThe python visualization world can be a frustrating place for a new user. There are many different options and choosing the right one is …

Essential Cheat Sheets for Machine Learning and Deep Learning Engineers

Learning machine learning and deep learning is difficult for newbies. As well as deep learning libraries are difficult to understand. I am creating a …

An introduction to Support Vector Machines (SVM)

So you’re working on a text classification problem. You’re refining your training data, and maybe you’ve even tried stuff out using Naive Bayes. But …

Duplicacy: A lock-free deduplication cloud backup tool

Duplicacy is a new generation cross-platform cloud backup tool based on the idea of Lock-Free Deduplication.<p>This repository hosts source code, design …

You can probably use deep learning even if your data isn't that big

<b>tl;dr:</b> A hot take on a recent ‘simply stats’ post. You can still use deep learning in (some) small data settings, if you train your model …

Introduction · Linux Inside

Understanding deep learning requires re-thinking generalization

Understanding deep learning requires re-thinking generalization Zhang et al., <i>ICLR’17</i>This paper has a wonderful combination of properties: the results …

Noun Project

secure introspectable tunnels to localhost

@_shadj<p>ngrok has become essential to my workflow. Makes testing responsive designs so much easier.<p>@Breefield<p>ngrok is genius, replaying requests makes …

Workflow

Beringei: A high-performance time series storage engine

Operating large-scale, globally distributed services requires accurate monitoring of the health and performance of our systems to identify and …

IMGKit: Python library of HTML to IMG wrapper

Python 2 and 3 wrapper for wkhtmltoimage utility to convert HTML to IMG using Webkit.<p>Installation<p>Install imgkit:<p>Install</b> …

Trunk Based Development

Depending on the team size, and the rate of commits, short-lived feature branches are used for code-review and build checking (CI) to happen before …

Tutorial on Deep Learning

This series of talks is part of the Foundations of Machine Learning Boot Camp. Videos for each talk area will be available through the links above.

Home Automation with RPi and Javascript

README.MD<p><i>Updated article: https://viktorkirilov.me/post/home-automation-raspberry-pi/</i><p>Link to video<p>https://youtu.be/wh0OoLUTeM8<p>Introduction<p>Since a kid …

Big deep learning news: Google Tensorflow chooses Keras

Written: 03 Jan 2017 by <i>Rachel Thomas</i><p>Buried in a Reddit comment, Francois Chollet, author of Keras and AI researcher at Google, made an exciting …

review: Designing Distributed Control Systems

<p>My first reaction after having started reading this book was disappointment. I had been looking for a book about designing distributed systems, but …

SeaweedFS

README.md<p>Supporting SeaweedFS<p>SeaweedFS is Apache-licensed open source project, independent project with its ongoing development made possible …

The major advancements in Deep Learning in 2016

Several corporations and entrepreneurs have created non-profits and partnerships to discuss about the future of Machine Learning and making sure that …

Talks that changed the way I think about programming

The best teacher I had in graduate school spent the whole semester destroying any beliefs we had about computing. He was a real iconoclast. He …