Course Course Summary Section 1 Content Section 1 Content Left Section 1 Content Right Credit Type: Course ACE ID: STAT-0034 Organization's ID: 681 Organization: Statistics.com Length: 4 weeks (60 hours) Dates Offered: 10/1/2024 - 9/30/2027 5/1/2021 - 9/30/2024 4/1/2018 - 4/30/2021 Credit Recommendation & Competencies Section 2 Content Section 2 Content Left Section 2 Content Right Level Credits (SH) Subject Upper-Division Baccalaureate 3 natural language processing Description Section 3 Content Section 3 Content Left Section 3 Content Right Objective: The course objective is to teach about deep neural networks, and how to use them in processing text with Python (Natural Language Processing or NLP). General Topics: Introduction to deep learning and representation learning Context sensitive learning: convnets and sequential models Deep transfer learning for NLP Attention, transformers and applications Instruction & Assessment Section 4 Content Section 4 Content Left Section 4 Content Right Instructional Strategies: Computer Based Training Discussion Practical Exercises Methods of Assessment: Quizzes Project Minimum Passing Score: 80% Supplemental Materials Section 5 Content Section 5 Content Left Section 5 Content Right Section 6 Content Section 6 Content Left Section 6 Content Right Button Content Rail Content 1 Other offerings from Statistics.com Biostatistics for Credit (STAT-0002) Calculus Review (STAT-0038) Categorical Data Analysis (STAT-0006) Customer Analytics in R (STAT-0031) Customer Analytics in R with Capstone (STAT-0053) Forecasting Analytics (STAT-0021) Forecasting Analytics with Capstone (STAT-0051) Integer & Nonlinear Programming and Network Flow (STAT-0019) Integer & Nonlinear Programming and Network Flow with Capstone (STAT-0050) Interactive Data Visualization (STAT-0028) View All Courses Page Content