As Machine Learning (ML) is becoming an important part of every industry, the demand for Machine Learning Engineers (MLE) has grown dramatically. MLEs combine machine learning skills with software engineering knowhow to find high-performing models for a given application and handle the implementation challenges that come up — from building out training infrastructure to … [Read more...] about How to Deliver on Machine Learning Projects
The Most Impactful Recent AI Trend Is The Rise of ML Engineering
The field of Machine Learning (ML) has been consistently evolving since Data Science started gaining traction in 2012. However, I believe 2018 was a critical inflection point in the ML industry. After helping Insight Fellows build dozens of ML products to get roles on applied ML teams, and reading through both corporate and academic published research … [Read more...] about The Most Impactful Recent AI Trend Is The Rise of ML Engineering
Reinforcement Learning From Scratch
Recently, I gave a talk at the O’Reilly AI conference in Beijing about some of the interesting lessons we’ve learned in the world of NLP. While there, I was lucky enough to attend a tutorial on Deep Reinforcement Learning (Deep RL) from scratch by Unity Technologies. I thought that the session, led by Arthur Juliani, was extremely informative and wanted to share … [Read more...] about Reinforcement Learning From Scratch
How To Solve 90% Of NLP Problems: A Step-By-Step Guide
Text data is everywhere Whether you are an established company or working to launch a new service, you can always leverage text data to validate, improve, and expand the functionalities of your product. The science of extracting meaning and learning from text data is an active topic of research called Natural Language Processing (NLP). NLP … [Read more...] about How To Solve 90% Of NLP Problems: A Step-By-Step Guide