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Inicio 4 June 2026 03:22
Fin 4 June 2026
Applied Artificial Intelligence: Natural Language Processing
157 Cursos
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Resumen
Delve into the transformative world of Applied Artificial Intelligence focusing specifically on Natural Language Processing (NLP) with this comprehensive course offered through FutureLearn. This course is a part of the Advanced and Applied AI on Microsoft Azure ExpertTrack, designed to equip you with essential AI and machine learning skills while preparing you for relevant Microsoft microcredentials.
Experiencing the likes of Siri or Alexa showcases the pinnacle of Natural Language Processing in action today.
NLP, a pivotal element of AI, integrates into our daily lives, enhancing human-machine interactions. Throughout this course, participants will explore the core challenges of NLP and master the skills needed to tackle key NLP tasks effectively.
Uncover the intricacies of Natural Language Processing, a domain at the intersection of artificial intelligence, machine learning, and computational linguistics.
The course journey takes you through the significance of NLP in the Information Age, offering insights into natural language understanding, machine translation, semantics, syntactic parsing, along with natural language emulation and dialect systems.
Further, the course introduces vision and language joint learning, delving into the challenges and multimodal intelligence tasks in NLP. Learn to implement deep learning models for image captioning, visual question answering, machine translation, conversation, and apply deep reinforcement learning models to various natural language applications.
Targeted towards data scientists, analytics managers, data analysts, data engineers, and data architects, this course aims to familiarize learners with the burgeoning field of AI's Natural Language Processing.
NLP is significantly shaping the future of machine-human interactions and is crucial for advancing AI and cloud-based system development.
This course encapsulates a broad spectrum of learning categories including Reinforcement Learning, Deep Learning, Generative AI, Data Science, and Natural Language Processing (NLP), making it an invaluable resource for anyone looking to dive deep into the realm of Applied Artificial Intelligence.
Impartido por
Daniela Piedrahita
