Alternative products to Amazon Machine Learning

Amazon Machine Learning

Machine learning made easy for developers of any skill level

16 alternative and related products to Amazon Machine Learning

Apple Core ML

Integrate a broad variety of ML model types into your app

Truman- Founder @ First
It was a matter of time before Apple took strides to catch up with Google and Facebook in this department. It may be too early to tell, but because of their ecosystem, and the way they seem to be gearing towards cultivating young programmers, I believe this release is most exciting for Apple.
2 Alternatives to Apple Core ML

ML Showcase

A curated collection of machine learning projects

Every day, interesting machine learning projects get posted to GitHub, but they soon disappear into the abyss if you're not quick to bookmark them. I've created a small collection of ML projects that stood out to me from HN, reddit, and GitHub. Preference was given to open source projects witht an online demo. Let me know if I missed any!

6 Alternatives to ML Showcase

Michelangelo, is an internal ML-as-a-service platform that democratizes machine learning and makes scaling AI to meet the needs of business as easy as requesting a ride. Michelangelo enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber’s scale.

ComputerworldUK
Uber has developed a complex in-house tool for deploying machine learning-as-a-service, which it calls Michelangelo. In a lengthy blog entry on the Uber Engineering site posted last week, Jeremy Hermann, head of machine learning platform, and Mike Del Balso, a product manager for machine learning at Uber, describe Michelangelo as: "An internal ML-as-a-servic… See more
TechLeer
Uber is increasingly investing in the latest technologies like artificial intelligence, virtual reality, and machine learning. Michelangelo is an internal machine learning as an as a service platform which enhances machine learning technology and makes scaling artificial intelligence to meet the future needs of growing market.
2 Alternatives to Michelangelo, by Uber

250 Machine Learning Conferences of 2018

A curated list of AI, Machine Learning & Blockchain events 🌍

We gathered 360 AI, ML, Blockchain conferences worldwide into a single list - the largest one you can find online. Enjoy 🙏

A Digital Scrum Master at Work
January February March 5-6 Mar, European Artificial Intelligence Innovation Summit. London, UK. 5-8 Mar,🎓 HRI 2018. Chicago, 5-8 Mar, O'Reilly Strata Data Conference. San Jose, 5-8 Mar, Gartner Data & Analytics Summit. Grapevine, 7-8 Mar, Big Data & Analytics Innovation Summit. Singapore. 7-8 Mar, AI and Sentiment Analysis in Finance.
A Digital Scrum Master at Work
A list of blockchain, bitcoin and ICO conferences in 2018. 120 events have been found so far.
9 Alternatives to 250 Machine Learning Conferences of 2018

Prodigy is a new annotation tool for creating training and evaluation data for machine learning models. It comes with an extensible, self-hosted back-end, active learning-powered models that update as you annotate, and a modern web application that helps you stay focused.

Ines Montani- Founder @explosion_ai
@honnibal and I built Prodigy to help data scientists create labelled data for machine learning models faster. Bootstrapping let us build a product that AI developers love, but investors would have been unable to fund. There's no lock-in, and no repeat revenue – you just buy a license and use the software ✨
8 Alternatives to Prodigy

ModelDepot

Curated Machine Learning models to ⚡supercharge⚡your product

ModelDepot is aiming to make advancements in machine learning more accessible to engineers.

Effortlessly find and use curated pre-trained models to build better products that are augmented by cutting edge strides in the field.

Medium
In traditional supervised machine learning, we teach a model to become more successful and efficient at a task, by providing it with example data. Generally, once the model begins to perform well on the training data for the domain or problem it is tasked with, we expect a reasonable performance for new data.
Medium
We previously talked about how Transfer Learning will radically change ML. People seemed to love it, so we thought we'd follow up with some thoughts on democratizing AI and Software 2.0. Machine Learning has had significant impact on the technology industry in the past few years, but many engineers still view it as little more than a highly specialized tool … See more
8 Alternatives to ModelDepot

Count

Real-time Shake Shack line counter using machine learning

Count is a machine learning company looking to quantify the organic data inside photos, video, and sound. Anybody that has lived in Manhattan understands the dynamics of the Shake Shack line in Madison Square Park. We thought it would be fun to practice our craft quantifying the Shake Shack line in real-time as our first experiment.

7 Alternatives to Count
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