Natural Language Processing (NLP)
| Institution | Jomo Kenyatta University of Science and Technology |
| Course | Information Technolo... |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | Jeff Odhiambo |
| File Type | |
| Pages | 7 Pages |
| File Size | 234.92 KB |
| Views | 4001 |
| Downloads | 0 |
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Description
Buy "Natural Language Processing (NLP)" now and learn how machines can understand, analyze, manipulate, and interpret human languages. This comprehensive book covers the history, key technologies, and latest advancements in NLP, providing detailed explanations of machine translation, automatic summarization, Named Entity Recognition (NER), speech recognition, relationship extraction, and topic segmentation. Through practical examples and clear narratives, the book makes complex NLP concepts accessible to both beginners and seasoned professionals.
Discover the evolution of NLP from its early days of machine translation to modern applications like speech recognition and chatbots. The book delves into the mechanisms behind NLP technologies, highlighting their advantages and limitations, and exploring real-world applications such as sentiment analysis, spam detection, and information extraction. "Natural Language Processing (NLP)" is an essential read for anyone looking to understand the principles and applications of NLP and its impact on our everyday lives.
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SMA 2371: Partial Differential Equations (Complete Notes, Examples & Solutions) – JKUAT Biostatistics Year 2 Semester 2
These are comprehensive and well-organized lecture notes for SMA 2371: Partial Differential Equations (PDE) offered to BSc. Biostatistics Year 2 Semester 2 students at JKUAT. The notes are neatly arranged from lecture one to the final topics, making them ideal for class learning, revision, CAT preparation, and final examinations.
The notes include detailed explanations, worked examples, step-by-step mathematical derivations, solved exercises, and applications of Partial Differential Equations. Topics covered include:
• Review of basic concepts and partial derivatives
• Jacobians, surfaces and curves in three dimensions
• Simultaneous first-order differential equations
• Methods of solving symmetric differential equations
• Orthogonal trajectories
• Pfaffian differential equations
• Linear first-order partial differential equations
• Formation of PDEs
• Elimination of arbitrary constants and arbitrary functions
• Heat, Wave, Laplace and Poisson equations
• Separation of variables
• Fourier and Laplace Transform methods
• Numerous worked examples, tutorial questions and examination-style problems with solutions.
These notes are suitable for JKUAT students and other university students studying Mathematics, Statistics, Biostatistics, Engineering, Applied Mathematics or related courses. They are an excellent revision resource for CATs and final examinations.
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