Business Data Science Outsell for Startups Podcast: Beyond Machine Learning and AI, 10x Faster Deployments, and Indico July 18, 2018 by adamdev Tom Wilde, our CEO, and Slater Victoroff, our CTO and co-founder, were featured on Ben Sampson’s Outsell for Startups podcast. During the episode, they break down machine learning and transfer learning in straightforward, non-technical terms; discuss Indico’s conception, trajectory, and latest products; and explore the future of the industry and tech. Blurb: “If youāve listened […] Read more Ā»
Data Science Machine Learning Text Data Use Case ODSC 2018: Effective Transfer Learning for NLP July 5, 2018 by adamdev Our machine learning architect and co-founder, Madison May, was a featured presenter at the 2018 Open Data Science Conference (ODSC). His technical talk focused on transfer learning, how it can be used to deliver efficiencies in machine learning on text-based content and how Indico has incorporatedĀ transfer learning into our commercial Intelligent Process Automation software. If […] Read more Ā»
Announcements Data Science Indico Machine Learning Enso: An Open Source Library for Benchmarking Embeddings + Transfer Learning Methods June 26, 2018 by adamdev Because Indico has benefited so much from hard work in the open-source community, we like to make sure a portion of our time is spent giving back. As part of this initiative, we’re releasing Enso, an open-source python library for benchmarking document embeddings and transfer learning methods. Enso was created in part to help measure […] Read more Ā»
Data Science Machine Learning Everything You Wanted to Know About Optimization May 17, 2018 by adamdev Last week our co-founder and machine learning architect, Madison May, presented at the Boston Machine Learning Meetup on various optimization methods based on trends from ICLR 2018. Video and slides below. Ā Ā Overview In recent years the use of adaptive momentum methods like Adam and RMSProp has become popular in reducing the sensitivity of […] Read more Ā»
Data Science Developers Text Data Use Case Tutorials Fortnite vs. PUBG: Data Science Lessons Learned May 1, 2018 / October 9, 2025 by adamdev Iād like to preface this post with the fact that what I do on a day-to-day basis isnāt data science. I spend my days building the web-based tools that make using indicoās core tech easier. So when I was asked to do a small data science project and write a post about it, I truly […] Read more Ā»
Data Science Machine Learning Exploiting Text Embeddings for Industry Contexts November 14, 2017 / October 9, 2025 by adamdev From Synonyms to Object Properties Itās well known that word embeddings are excellent for finding similarities between words — specifically, synonyms. We achieve this using supervised machine learning techniques by showing a neural net a dataset of hundreds of millions of pieces of text. The algorithm looks at the context and frequency in which particular […] Read more Ā»
Data Science Developers Machine Learning Tutorials Python Deep Learning Frameworks Reviewed January 31, 2017 by adamdev I recently stumbled across an old Data Science Stack Exchange answer of mine on the topic of the “Best Python library for neural networks”, and it struck me how much the Python deep learning ecosystem has evolved over the course of the past 2.5 years. The library I recommended in July 2014, pylearn2, is no […] Read more Ā»
Data Science Developers Tutorials Data Science Deployments with Docker November 15, 2016 / October 9, 2025 by adamdev Deploying machine learning models has always been a struggle. Most of the software industry has adopted the use of container engines like Docker for deploying code to production, but since accessing hardware resources like GPUs from Docker was difficult and required hacky, driver specific workarounds, the machine learning community has shied away from this option. […] Read more Ā»
Business Data Science Tutorials A Fast Method to Stream Data from Big Data Sources March 14, 2016 / October 9, 2025 by adamdev Maybe you’re training a machine learning model on a really big dataset. Perhaps you’ve got a big database dump and you want to extract some information. Or maybe youāre crawling web scrapes or mining text files. Modern computers are really quite powerful for processing streams of data. You shouldn’t have to resort to a Hadoop […] Read more Ā»
Business Data Science Machine Learning Why More Bytes Wonāt Make Your Model Stronger January 4, 2016 / October 9, 2025 by adamdev In the frothy sea of Big Data buzz, thereās a tidbit: āMore data beats a better model.ā But if youāre not Google, and youāre not building distributed language models…well, havenāt you ever wondered how much improvement a model should yield when scaling up to a bigger dataset? Here we look at a specific example to […] Read more Ā»
