Posts by Algorithmia
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15 October 2019
5 min read
People often confuse data science and machine learning,  but they are in fact separate entities, despite what the memes say. Let’s make clear what differences there are between data science and machine learning and give some examples of how each is used in business settings. Is data science the same...
14 October 2019
4 min read
Machine learning engineers and data scientists are not the same role, although there is often the misconception that they are synonymous. While there are areas of overlap or reliance on one another, there are very distinct differences between these two roles in computer science.  What is a machine...
8 October 2019
4 min read
Customers have an abundance of options when it comes to products for purchase. This excess of options, however, increases the risk of poor customer retention. Since acquiring new customers costs much more than keeping current customers, a higher retention rate is always better. Customer retention represents...
30 September 2019
2 min read
TensorFlow 2.0 shipped today, 30 September 2019, with new features, such as faster debugging and iteration with Eager Execution, a TensorFlow-enhanced implementation of the Keras API, and simplification and compatibility improvements across its APIs. TensorFlow 2.0 is a major upgrade that should increase...
26 September 2019
6 min read
While consumer-facing applications of machine learning (ML) have gotten a lot of attention (Netflix, Uber, and Amazon) the back office deserves some recognition. Enterprise-level systems that run the business—think finance, robo-advisors, accounting, operations, human resources, and procurement—tend...
29 August 2019
5 min read
The financial services industry has often been at the forefront of using new technology to solve business problems. It’s no surprise that many firms in this sector are embracing machine learning, especially now that increased compute power, network connectivity, and cloud infrastructure are cheaper...
5 July 2019
8 min read
Developing processes for integrating machine learning within an organization’s existing computational infrastructure remains a challenge for which robust industry standards do not yet exist. But companies are increasingly realizing that the development of an infrastructure that supports the seamless...
27 June 2019
4 min read
Natural language processing (NLP) is one of the fastest evolving branches in machine learning and among the most fundamental. It has applications in diplomacy, aviation, big data sentiment analysis, language translation, customer service, healthcare, policing and criminal justice, and countless other...
1 May 2019
4 min read
Every quarter, we talk with more than a hundred companies working to productionize their machine learning. We see a clear path out of the stage many companies cannot get past: operationalizing the model deployment process. The problem Massive effort goes into any well-trained model—research shows that...
20 December 2018
2 min read
Azure Blob and Google Cloud Storage In an effort to constantly improve products for our customers, this month we introduced two additional data providers into Algorithmia’s data abstraction service: Azure Blob Storage and Google Cloud Storage. This update allows algorithm developers to read and write...