May 07, 2018

Introduction to Optimizers

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...

April 30, 2018

Introduction to Loss Functions

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...

April 30, 2018

Developer Spotlight: Daniël Heres

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...

April 26, 2018

Results of The First Trustless Machine Learning Contract

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, ...

April 23, 2018

Introduction to Microservices

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...

April 16, 2018

How To Get All Different Types of Twitter Data

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...

April 10, 2018

Convolutional Neural Nets in Pytorch

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...

April 09, 2018

Introduction to Unsupervised Learning

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...

April 02, 2018

Introduction to Computer Vision

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...

March 27, 2018

How To Perform Sentiment Analysis With Twitter Data

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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