Now anyone can explore machine learning, no coding required

From helping you find your favorite dog photos, to helping farmers in Japan sort cucumbers, machine learning is changing the way people use code to solve problems. But how does machine learning actually work? We wanted to make it easier for people who are curious about this technology to learn more about it. So we created Teachable Machine, a simple experiment that lets you teach a machine using your camera—live in the browser, no coding required.

Teachable Machine is built with a new library called deeplearn.js, which makes it easier for any web developer to get into machine learning. It trains a neural net right in your browser—locally on your device—without sending any images to a server. We’ve also open sourced the code to help inspire others to make new experiments.

Check it out at g.co/teachablemachine.

High Performance Statistical Queries in SQL: Measuring the Spread of a Distribution

July 11, 2017 by  Dejan Sarka Besides knowing the centers of a distribution in your data, you need to know how varied the observations are. In this article, we’ll explain how to find the spread of a distribution. Are you dealing withContinue reading… High Performance Statistical Queries in SQL: Measuring the Spread of a Distribution

Artificial Intelligence and the Death of Indian IT Sector

GUEST BLOGGER: HARPREET SINGH Harpreet Singh is the Founder and Co-CEO of Experfy, big data and IoT consulting and training marketplace that offers courses to learn big data, iot analytics, and big data management based in the Harvard Innovation Launch Lab. A Harvard-trained PhD, he works at theContinue reading… Artificial Intelligence and the Death of Indian IT Sector

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Abstract Secondary use of electronic health records (EHRs) promises to advance clinical research and better inform clinical decision making. Challenges in summarizing and representing patient data prevent widespread practice of predictive modeling using EHRs. Here we present a novel unsupervisedContinue reading… Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

WORLD’S BIGGEST AI ONLINE CONFERENCE FOR DEVELOPERS: AI WITH THE BEST

AI WITH THE BEST AI With the Best 29th-30th April is the 3rd edition of the online AI conference for developers, startups, scientists, and corporations around the world. Advised by Ian Goodfellow from GoogleBrain, 100 speakers will present over aContinue reading… WORLD’S BIGGEST AI ONLINE CONFERENCE FOR DEVELOPERS: AI WITH THE BEST

Hold on Google TensorFlow, Facebook is coming with Visdom

Overview Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboardsContinue reading… Hold on Google TensorFlow, Facebook is coming with Visdom

Building meaningful machine learning models for disease prediction

Dr Shirin Glander Setup All analyses are done in R using RStudio. For detailed session information including R version, operating system and package versions, see the sessionInfo() output at the end of this document. All figures are produced with ggplot2.Continue reading… Building meaningful machine learning models for disease prediction

Google Deepmind: Should patients trust the company with their data?

By Jane Wakefield Google’s artificial intelligence unit DeepMind is getting serious about healthcare – with ambitious plans to digitise the NHS – but first it needs to convince patients to hand over their medical records. Back in February, it beganContinue reading… Google Deepmind: Should patients trust the company with their data?