This blog is written by Vishnu Rachakonda, a Data Scientist at FirstHand. Why I’m writing this Inspired by Ben Kuhn’s Essays on programming I think about a lot, I put together a list of the most influential reads on my... View article
This blog is written by Vinay Patel, a senior software engineer at GoCardLess. Context At GoCardless, we use Machine Learning to prevent fraud and reduce payment failures for our merchants using features like Success+. Data Scientists and Machine Learning Engineers—11... View article
This article is written by Victoria Firsanova, a philologist and NLP researcher My passion is to challenge myself. Although my domain in Natural Language Processing is Conversational AI, this year I decided to try myself in low-resource machine translation. While... View article
This article is written by Nwoke Tochukwu, a Machine Learning Engineer and also an Undergraduate studying mechatronics Engineering. I’ve trained my model and need to deploy it! Developing machine learning solutions comes with many complexities, especially in the deployment phase.... View article
This blog is written by John Roberts. He summarizes the MLOps coffee chat session with Orr Shilon at Lemonade. Machine learning has centered on building accurate models which initiated the development of frameworks like TensorFlow, PyTorch and Scikit-Learn. The job... View article
This is a sponsored post with Run:ai ! A company based in Tel Aviv backed by Tiger Global, Insight Partners. Run:ai aims to accelerate AI-driven innovation and help humanity solve the unsolved. They are committed to providing a foundation for... View article
This article ( original blog ) is written by the David Burchmann, he is currently the VP of engineering at Ntropy. This blog post explains our journey in MLOps, describing how we leveraged the combination of open-source technologies and cloud... View article
This article ( original post ) is written by Mihail Eric. Mihail is the founder of Pametan Data Innovation, a machine learning consultancy focused on helping organizations build data-driven systems to solve their toughest business problems. Does this sound familiar?... View article
This article ( original post ) is written by Krishna Gade If you’re using machine learning to scale your business, do you also have a plan for Model Governance to protect against ethical, legal, and regulatory risks? When not addressed,... View article
This article ( original post ) is written by Ernest Chan When you only have one or two models to deploy, you can simply put your models in a serving framework and deploy your models on a couple of instances/containers.... View article