Ilya Volodarsky, co-founder of Segment, presents his tactics for setting up analytics to build your MVP and measure your metrics.

You can find the lecture slides and transcript here: https://www.startupschool.org/videos/84

It's not too late to sign up!…

The Alexa tool is a crap metric. If you want to get into the top 100k, all you need to do is get as many web browsers open as you can with the Alexa toolbar installed and have it refresh at random times (anywhere from 5 -30 seconds) and in a few w...

Linkedin, Spotify, Volvo, JP Morgan, and many other market leaders are leveraging Kubeflow to simplify the creation and the efficient deployment of Machine L...

UMAP is like t-SNE, but faster and more general-purpose.

Deploying and managing models in production is often the most difficult part of the machine learning process. Enter model servers, which make it easy to load models and which offer production-critical features like logging, monitoring, and security. In this…

AI technologies in general and deep learning specifically are becoming mainstream and many if not most cloud, embedded and handheld applications are be expected to provide some AI based behavior in the near future. There is an opportunity for Kotlin to become…

This post is the fourth in a series of introductory tutorials on the Open Neural Network Exchange (ONNX), an initiative from AWS, Microsoft, and Facebook to define a standard for interoperability across machine learning platforms.

Java community leader Red Hat launches new GraalVM distro.

Understand the novel tricks behind creating a framework to work at the largest scale possible

The goal for Tesla Inc's (NASDAQ: TSLA) Full Self-Driving software is for it to eventually allow its vehicles to complete all driving tasks for an...

I'm aware that there's been lots of advances with regards to image recognition, image classification, etc with deep, convolutional neural nets.

But if I train a net on, say, PNG images, will it only

Making your PyTorch models work in environments with only TensorFlow

WebGPU is a new graphics and compute API designed from the ground up by a W3C community group. It's a successor to WebGL, which also has a chance to become a standard on native platforms. We are going to talk about the API itself as well as our Rust-based…

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* 21 октября 2018 г. в московском офисе Яндекса прошла встреча…

Meet the companies looking to take a bite out of Align Technology's $1.5 billion Invisalign business.

In this post, we continue to consider how to speed up inference quickly and painlessly if we already have a trained model in PyTorch. In the previous post We discussed what ONNX and TensorRT are and why they are needed Сonfigured the environment for PyTorch…

I'm aware that there's been lots of advances with regards to image recognition, image classification, etc with deep, convolutional neural nets.

But if I train a net on, say, PNG images, will it only

An A.I. Capital Management Research Article Series