Posts by A. Besir Kurtulmus
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26 May 2020
8 min read
The machine learning lifecycle begins with data warehousing, ETL pipelining, and model training. At Algorithmia, we focus on the next stages in the lifecycle: deployment, management, and operations. Machine learning deployment plays a critical part in ensuring a model performs well, both now and in the...
13 January 2020
4 min read
Machine learning model security is not discussed enough. In serverless GPU–attached environments, block storage solutions like S3 are dependable for persisting your model files. Other than the URI, no other relevant information regarding the model file is saved in the source code.  This exposes an...
13 June 2019
2 min read
We spend a lot of time focused on giving data scientists the best experience for deploying their machine learning models. We think they should not only use the best tools for the job, they should also be able to integrate their work easily with other tools. Today we’ll highlight one such integration:...
26 April 2018
5 min read
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, location...
27 February 2018
8 min read
Machine Learning algorithms are being developed and improved at an incredible rate, but are not necessarily getting more accessible to the broader community. That’s why today Algorithmia is announcing DanKu, a new blockchain-based protocol for evaluating and purchasing ML models on a public blockchain...
15 November 2017
12 min read
We host more than 4000 algorithms for over 50k developers. Here is a list of best practices we’ve identified for designing advanced algorithms. We hope this can help you and your team.   1 – Starting off with high level design Let’s start off by defining the problem. It’s important...
19 October 2017
4 min read
We often get asked about if we’re planning on adding any non-English NLP algorithms. As much as we would love to train NLP models on other languages, there aren’t many usable training datasets in these languages. And, due to the linguistic structure of these languages, training with pre-existing...
12 September 2017
11 min read
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...
18 July 2017
4 min read
Style transfer is a term used for reimagining an image with the style of a given piece of art. Recently, various research groups have proposed different approaches to do style transfer. Generally speaking, there are trade-offs between these different techniques. For example, in one of our previous spotlights...
11 July 2017
9 min read
Have you ever wondered how companies like Facebook automatically tag millions of user images? Or did you find yourself in a situation where you want to automate tagging people in images… perhaps with tens of thousands of images? Or maybe you just want to build a simple TV show celebrity classifier...