Natural Language Processing Fundamentals

Are you curious how computers make sense of human language? Unlock the power of text data by learning the foundational principles of Natural Language Processing (NLP). This course equips you with the essential knowledge to begin exploring how machines process, interpret, and generate human language, preparing you to tackle various text-based challenges and understand the technology behind intelligent applications. What you'll learn: * Understand the fundamental concepts and terminology of Natural Language Processing. * Learn essential text preprocessing techniques like tokenization, stemming, and lemmatization. * Apply methods for representing text data, including vectorization and basic embeddings. * Explore foundational NLP tasks such as text classification and sentiment analysis. * Grasp the core ideas behind modern language models, including transformer architectures. * Practice basic prompt engineering principles for interacting with large language models. * Develop a solid conceptual base for further study in advanced NLP applications. The course progresses from defining key terminology and basic concepts to practical methods for text preparation, analysis, and understanding modern language model paradigms. You'll build a comprehensive conceptual framework for working with textual data. This course is designed for absolute beginners with no prior experience in Natural Language Processing or advanced programming. All necessary concepts are introduced from scratch. Start your journey into the exciting world where computers learn to speak and understand like humans.