-
Be the first to like this
Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy.
Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our Privacy Policy and User Agreement for details.
Published on
Many times what your machine learning algorithm is optimizing for is not what you really want. Worse, many times you do not really know what you want. In interactive machine learning the human is an integral part of the learning process leading to cooperative human-machine solutions. In this talk, we will see a few such problems from the field of Natural Language Processing (NLP), their challenges, common pitfalls and some solutions.
Be the first to like this
Login to see the comments