Small Data for Big Problems: Practical Transfer Learning for NLP

October 11, 2018 / Machine Learning, Text Data Use Case, Tutorials

 
Yesterday, Indico’s CTO Slater Victoroff held a webinar to discusses modern transfer learning techniques for NLP to help you avoid common pitfalls when working in low-data environments. If you missed it, the slides and video are now available below.

Overview:

Despite all the advancements using AI and machine learning to create value around structured data, enterprises are not seeing the same benefits and ROI with unstructured content – all the text, images, documents, contracts, and customer interactions that make up more than 80% of data in most organizations. Traditional keyword-based approaches – including taxonomies, classifiers, expert systems, and pre-trained dictionary based systems – are simply too complex, too inflexible, and too expensive to maintain. It’s time for a new approach.

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