BHI Executive Education Programme Natural Language Processing (NLP) 2024Info Location Attendee Categories Contact More Info Event Information
DescriptionCourse Aim: The course provides an introduction to the nature of medical text, and the technical and organisational challenges encountered when processing. The course will be based around practical examples and widely used NLP tools. The course aims to provide an introduction to the major techniques of natural language processing, and to provide participants with the skills to create their own NLP applications, using both rules based and statistical approaches. Methods will be introduced for extracting structured information from text, and for automatically classifying text, together with the selection of data for training and for evaluation. The course will discuss aspects of NLP that are specific to medical and biomedical texts, and develop a critical awareness of the issues associated with these texts. Participants will be equipped with the skills needed to analyse their own language processing problems, to design and test solutions, and to understand the limitations of those solutions.
The course will provide a practical instruction in the use of some widely used tools in NLP, including nltk (a Python toolkit).
Event Location
Attendee Categories2) KCL Staff
Additional ItemsContactBiostatistics & Health Informatics Education Team More InformationLearning Outcomes: Subject specific: Knowledge, Understanding and Skills
Learning Outcomes: General: Knowledge, Understanding and Skills On successful completion of this module the student should be able to
Limited Early Bird Discount of 10% applied if booked by Friday 08th March 2024 Last Booking Date: Wednesday 01st May 2024
Time: 09:30—12:30 every Wednesday and Thursday (over the 5-week period) Application: To apply please email [email protected] with the following details: Email Subject Line: Application for Natural Language Processing (NLP) 2024 Name: Email Address: Contact Phone Number: Indicate your education/employee status: KCL PhD, KCL student, KCL staff In 100 words, state why you wish to enrol/participate in this course: In 100 words, state which skills you hope to acquire: In 100 words, please describe your Python and R knowledge and when/how you have used these programs.
Once your application has been approved, you will be sent a link to payment and a discount code if one is to be applied.
Please note the following: Your place will not be confirmed until payment has been made. Failure to cancel without sufficient notice will forfeit your course fee. If you would like to pay by internal transfer, please contact [email protected]
Refund Policy This policy shall apply to all courses run by the BHI department as part of the Executive Education Programme You may cancel a course booking at any time. The standard BHI course cancellation policy (as specified below) shall apply.
Cancellation more than three weeks before the event 100% Cancellation two weeks before event 50% Cancellation one week before event 0%
To cancel a course booking, you must let us know of your decision to cancel by emailing [email protected]. You must clearly state your intention to cancel the course. To meet the cancellation deadline, it is enough for you to send your communication concerning exercising the right to cancel before the cancellation period has expired. We will make the reimbursement using the same means of payment as you used for the initial transaction. In any event, you will not incur any fees as a result of this reimbursement. Whilst every effort is made to avoid changes to our programme, the BHI Department reserves the right to withdraw any course. If for any reason the BHI Department cancels a course, all course fees will be returned in full. We cannot however reimburse the cost of any pre-booked travel arrangements. | |||||||||||||||
