Source: Deep Ideas

If you remember anything from Calculus (not a trivial feat), it might have something to do with optimization. Finding the best numerical solution to a given problem is an important part of many branches in mathematics, and Machine Learning is no exception. Optimizers, combined...

The loss function is the bread and butter of modern Machine Learning; it takes your algorithm from theoretical to practical and transforms neural networks from glorified matrix multiplication into Deep Learning.

This post will explain the role of loss functions and how they work, while surveying...

Developers are the heart of Algorithmia’s marketplace: every day, you create and share amazing algorithms, build upon and remix each others’ work, and provide critical feedback which helps us to improve as a service. Thanks to you, we have over 5000 algorithms and 60,000 individuals working...

Two of the most interesting things potentially ever are happening in our lifetime: the rise of machine learning and the blockchain revolution.

Machine Learning (ML) systems have been able to surpass humans in many problem domains. These systems are now better at lip reading, speech recognition, ...

Source: DZone

A Microservice architecture can beef up your team’s speed by adjusting how they design and ship code, and developers and business leaders can get ahead by implementing it inside their teams. The 1-2 punch of serverless and microservices combined is driving totally new types of...

Twitter isn’t just my favorite way to waste time when my boss isn’t looking––it’s also a powerful data source for understanding what your customers are saying about you. Getting access to Twitter data for analysis is easy with the Algorithmia platform, and this post will walk you through how to do...

Many of the exciting applications in Machine Learning have to do with images, which means they’re likely built using Convolutional Neural Networks (or CNNs). This type of algorithm has been shown to achieve impressive results in many computer vision tasks and is a must-have part of any...

Source: Proofreader's Whimsy

What do you do when your dataset doesn’t have any labels? Unsupervised learning is a group of Machine Learning algorithms and approaches that work with this kind of “no-ground-truth” data. This post will walk through what unsupervised learning is, how it’s different...

Source: TechCrunch

Using software to parse the world’s visual content is as big of a revolution in computing as mobile was 10 years ago, and will provide a major edge for developers and businesses to build amazing products.

Computer Vision is the process of using machines to understand and...

One of the most compelling use cases of sentiment analysis today is brand awareness. If you can understand what people are saying about you in a natural context, you can work towards addressing key problems and improving your business processes. So how exactly can you get that up and running?

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