Productionizing NLP Models

Problem statement 💰 Lately, I have been consolidating my experiences of working in different ML projects. I will tell this story from the lens of my recent NLP project to classify phrases into categories — A multiclass single label problem.     Central embedder architecture for NLP   Team structure 👪 Read more…

Verifying and adjusting your data labels to create higher quality training datasets with Amazon SageMaker Ground Truth

Building a highly accurate training dataset for your machine learning (ML) algorithm is an iterative process. It is common to review and continuously adjust your labels until you are satisfied that the labels accurately represent the ground truth, or what is directly observable in the real world. ML practitioners often Read more…

How Much Does MLaaS Cost?

Machine learning as a service (MLaaS) platforms offer machine learning tools as a part of cloud computing services. If you are new to the MLaaS concept, check out our comprehensive beginner’s guide to machine learning as a service. The key players in this market include Amazon, Microsoft, Google, and IBM. Read more…

What’s State Of The Art In AutoML in 2019?

More and more industries and organizations are leveraging artificial intelligence to delight customers and cut through the competition. However, development and deployment of deep learning models is time-consuming and costly – often prohibitively costly. That’s when automated machine learning (AutoML) comes into play. AutoML solutions can significantly increase the efficiency Read more…

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