Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text.
Acerca de este Curso
Habilidades que obtendrás
- 5 stars65,72 %
- 4 stars23,86 %
- 3 stars6,72 %
- 2 stars1,62 %
- 1 star2,06 %
Principales reseñas sobre TEXT RETRIEVAL AND SEARCH ENGINES
The explanation is detailed and clear. But the missing star is because I hoped the course would have programming assignments using popular language as python.
I will keep the last star for not using a more cutting edge programming language, e.g. python. MeTa is not really helpful in the business world and that discounts the value of this course.
This advance course just perfect for me who know little bit about advance statistic and linear algebra.
Need indetail inputs on algorithm usage and correct MeTA assignments with working scripts. That makes learning a complete curve.
Acerca de Programa especializado: minería de datos
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
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