The Simple + Practical Path to Machine Learning Capability: A Common Benchmark Task

Posted by & filed under Machine Learning, Machine Learning Tutorials, Tutorials.

Here we introduce optical character recognition as a common benchmark task in modern machine learning, and show how to implement a simple model. Being able to experiment with machine learning models is the first step towards capability! Scientific learning process –> machine learning process In the previous post, we introduced machine learning as a principled… Read more

The Simple + Practical Path to Machine Learning Capability: Motivating Background, Fundamental Concepts & Workflow

Posted by & filed under Developers, Machine Learning Tutorials.

Hello, friendly human! Welcome to the first in a series of articles about using machine learning to solve problems. We start with fundamental concepts, and later explain how to implement those concepts using Python + TensorFlow code. Then we’ll show how to combine and extend these fundamental concepts to solve more interesting problems. An unproductive… Read more

Semi-supervised Feature Transfer: The Practical Benefit of Deep Learning Today?

Posted by & filed under Business, Machine Learning.

In this case study, we evaluate four different strategies for solving a problem with machine learning. In terms of both technical performance and practical factors like economics and amount of training data required, customized models built from semi-supervised “deep” features using transfer learning outperform models built from scratch, and rival state-of-the-art methods. Featured on KDnuggets.… Read more

The Good, Bad, & Ugly of TensorFlow

Posted by & filed under Machine Learning.

A survey of six months rapid evolution (+ tips/hacks and code to fix the ugly stuff) We’ve been using TensorFlow in daily research and engineering since it was released almost six months ago. We’ve learned a lot of things along the way. Time for an update! Because there are many subjective articles on TensorFlow and… Read more

The indico Machine Learning Team’s Take on TensorFlow

Posted by & filed under Data Science, Machine Learning, Opinion Piece.

Earlier this week, Google released TensorFlow, an open source library for numerical computation. Given the general frothiness around machine learning, we thought folks might appreciate a simple, straightshootin’ take from indico’s Machine Learning team. Unlike a random person on the Internet, we deal with this stuff daily, and can hopefully shed some light on how… Read more