Individuals with one year or above natural language processing related work experience or some natural processing language foundation knowledge. Able to master and apply existing knowledge to build proper natural processing language models by using suitable processing methods based on different language materials and background with a combination of computing languages such as Python and related analysis tools.
Basic Theory: statistics, probability theory, linguistics, machine learning, basic computing algorithm and programming
Tools and Software Requirements: Python or related tool sets (numpy, pandas, string, nltk, scikit-learn)
Prerequisite Skills: Able to extract information from language material data independently, and utilize machine learning study tools to construct suitable models to analyze data, develop products, and solve problems in special business fields or situations
Make sure read this section before taking the exam:
Prepare Your Environment:
1. Make sure your Jupyter Notebook is ready to use including python 2.7 kernel, numpy, scipy, pandas, sklearn, matplotlib.
2. Take some blank papers with you, since some question needs some calculation, may ask you submit a picture of your paper answer.
We are using Honorlock for Proctoring purpose, your audio, video, the computer screen will be recorded.
You will get your result within one week. You can check your result in the Grades section and also, we will send you an email to announce final result. If you passed the exam, we will issue a digital certificate which can be verified online by a third-party digital certificate authentication provider.