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data_340_nlp's Introduction

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William & Mary DATA 340 Natural Language Processing

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Prerequisites

There are no official prerequisites for this course. We will delve into various tools, techniques, and ideas within the topic of Natural Langauge Processing. Some central ideas are: algorithms and data structures, linear algebra, calculus, machine learning, and neural networks. We will create everything from the ground up, so that the student can have a clear grasp on the technologies used in NLP. There are, however, some helpful aids that the student should consult:

  1. Essence of Linear Algebra
  2. Essence of Calculus
  3. Missing Semester of your CS Education
  4. Tools and tips

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