For Natural Language Processing (NLP) to work, it always requires to transform natural language (text and audio) into numerical form. Text vectorization techniques namely Bag of Words and tf-idf vectorization, which are very popular choices for traditional machine learning algorithms can help in converting text to numeric feature vectors.

In this 3 part series on Deep Learning based Object

We generate large amounts of text data these days. Applying machine learning algorithms to extract meaningful insight from this data is the target for most organizations. In raw form, text data is not very useful and needs to be processed to extract insights.

Input Input to object detector is a set of images

In a nutshell, keyword extraction is a methodology to automatically

Deep learning algorithms for object detection and image processing have emerged as a powerful technique. As AI goes from experimentation and prototyping to mainstream production workloads, executive sponsors are looking for foundational technology pieces that deliver sustained ROI at scale.