Andrew Blumenfeld

Brivo is Building Security using Machine Learning

One of the classic applications of machine learning is in the area of fraud detection. We often read about the utility of ML when it comes to, for example, spotting credit card fraud or other

3 Ways Machine Learning is Changing How We Email

Despite the proliferation of countless new modes of communication, email remains a centerpiece of many people’s online lives. Machine learning has the potential to remake how we interact with email,

Key Differences Between Unsupervised and Supervised Machine Learning

One of the earliest distinctions you may encounter in machine learning is that between “supervised” and “unsupervised” machine learning. The distinctions between these two types of learning are

Refugees and Machine Learning

Tremendous advances in machine learning that are boosting profits and consumer experiences are being built on the backs of exploited refugees. Or, at least, that’s the claim made recently by Phil

Machine Learning for Open Table

OpenTable and similar tools have made it significantly easier for users to make restaurant reservations, and for restaurants to manage those reservations. Using machine learning, these tools can

MIT Uses Deep Learning to Predict Car Crashes

Car accidents are a leading cause of children and young adults, with an average of 6 million collisions happening in the US every year alone. More than 90 people die in a car accident, on average

What is the difference between ML and AI?

You can find yourself in the throes of some surprisingly contentious discussions depending on when and how you use the terms “machine learning” (ML) and/or “artificial intelligence” (AI). Rather than

$50M for More AI in Customer Support

Customer service and support has been transformed by technology, and analysts predict it will experience even greater change in the coming years as it invests in and embraces artificial intelligence.

ML for Weight Loss on WW (WeightWatchers) App

Wellness is big business. But while the total market value of the weight loss industry has recently grown to all-time highs, the growing role of machine learning technology in weight loss products

$35 million to leverage AI for better water management

Water has been referred to as the oil of the 21st century-- and, for reasons good and bad, that may prove to be a very apt metaphor. Water has always been a major driver of growth, and this is

ML in the News: Music and Artificial Intelligence

machine learning · ML in the News: Artificial Intelligence and Music Above: Andrew Blumenfeld, co-founder of Telepath, and Lily Adelstein, creative project manager, discuss the topic of music and AI.

ML in the News: Small and Mid Size Businesses

machine learning · ML in the News: Small and Mid Size Businesses Above: Andrew Blumenfeld, co-founder of Telepath, and Lily Adelstein, creative project manager, discuss ML for small and mid size

Facebook's Meaningful Social Interaction Metric

Above: Andrew Blumenfeld, co-founder of Telepath, and Lily Adelstein, creative project manager, discuss Facebook's meaningful social interaction metric. It’s been a bad few weeks for Facebook,

New ML Startup on a Mission to Improve Video Conferencing

machine learning · New ML Startup on a Mission to Improve Video Conferencing Above: Andrew Blumenfeld, co-founder of Telepath, and Lily Adelstein, creative project manager, discuss Read AI. One of

ML in the News: Amazon's Alexa Announcement

Lily Adelstein · AmazonAnnouncement Above: Andrew Blumenfeld, co-founder of Telepath, and Lily Adelstein, creative project manager, discuss Amazon's Alexa announcement. Among the many new

From Software Developer to Machine Learning Pro: A Chat with Santiago Valdarrama

One of my favorite ML voices online these days is Santiago Valdarrama. Santiago is a software developer who has transitioned into a machine learning expert, and has built a following of those who are

ML 101: Training Data

What is training data? Machine learning is all about using data to make smarter, faster, more accurate decisions and predictions. To accomplish this, we build models that understand both the subtle

Machine Learning: Build or Buy?

It’s a cliche because it’s true: the question is not if you’re going to incorporate machine learning into your products, it’s how you’re going to do it. But whereas the demands were previously on

What data should I use to train my model?

Figuring out what data you should use to train your model is very important and can sometimes feel a bit overwhelming. On the one hand, it can feel like you have troves of data and you don’t know