September 14, 2017

Find the Best Social-Share Image with Social Media Image Recommender

When you share your carefully-curated content on social media, you want to ensure it reaches as much of your audience as possible. One important part of this process is picking an amazing image to include in that post. That's why we created the Social Media Image Recommender, an algorithm which...

September 12, 2017

Automagically Picking the Best Social-Sharing Images for your Article

Your website publishes thousands of articles each day. Your writers create stories, embed images, and tag them for SEO purposes. It's your job to share them out on social media... but you're struggling to keep up with the volume.

After coming up with a snappy tagline, you still have to select the...

September 06, 2017

Using to Classify Domains in Production

Modern cyber attacks, such as Botnets and Ransomware, are becoming increasingly dependent on (seemingly) randomly generated domain names. Those domains are used as a way to establish Command & Control with their owners, which is a technique called Domain Fluxing. The recent WannaCry ransomware was...

August 30, 2017

Traveling Salesman by API

Traveling Salesman is one of the classic NP-Hard problems: finding the optimal solution can take a long time, but there are some great shortcuts available which come close! Algorithmia now brings you a fast, near-optimal way to find the fastest route through multiple cities, thanks to the power of...

August 29, 2017

New Markdown-Based Algorithm Descriptions Shipped

Great algorithm descriptions really help developers to understand your algorithms, and help them become successful quickly.  Today, we're happy to announce that we've shipped several improvements aimed at helping you write great descriptions, with ready-to-edit sections aimed at helping developers...

August 23, 2017

Rapidly Extract Information from Public Websites

We have a lot of fun, heavy-hitting algorithms in our marketplace: deep-learning tools like Image Tagger and pipelining mechanisms such as Video Metadata Extraction are designed to bring the power of Machine Learning to your app via easy-to-use APIs.

But sometimes, all you need to do is extract...

August 21, 2017

Becoming a 10x Data Scientist

Recently I gave a talk at PyData Seattle about how to ramp up your data science skills by borrowing tips and tricks from the developer community. These suggestions will help you become a more proficient data scientist who is loved by your team members and stakeholders.

This post is broken up into...

August 17, 2017

Machine Learning as a Service (MLaaS) with Sklearn and Algorithmia

In part 2 of our guest-post series by Nick Rose, he takes things a step further by showing us how to host predictive models in the cloud, so they can be made available for a web app or other service to access.

August 15, 2017

Training with Weights: Machine Learning at the Gym

Today we're excited to feature a guest post by entrepreneur/engineer Nick Rose. When overcrowding at his gym became a problem, he dove into machine learning to find a solution. This is a great tale of using ML to solve real-world problems, tackling the challenges of learning without an immediate...

August 09, 2017

Acquiring Data for Document Classification

The Document Classifier is a powerful tool for generating keyword predictions for your documents, whether they are chat transcripts, emails, historical documents, scientific abstracts, or any number of other possible sources.

However, your predictions will only be as good as the dataset you've...

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