Executive Development Programme in Neural Language Processing: Smart Systems
-- ViewingNowThe Executive Development Programme in Neural Language Processing: Smart Systems certificate course is a comprehensive program designed to empower professionals with the essential skills needed to thrive in the era of artificial intelligence. This course focuses on neural language processing, a critical component of AI, and smart systems, which are increasingly in demand across industries.
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ร propos de ce cours
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2 mois pour terminer
ร 2-3 heures par semaine
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Aucune pรฉriode d'attente
Dรฉtails du cours
โข Fundamentals of Neural Language Processing: Understanding the basics of NLP, including text processing, tokenization, and part-of-speech tagging.
โข Deep Learning Techniques: Exploring deep learning methods, such as recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and gated recurrent units (GRUs).
โข Natural Language Understanding (NLU): Delving into the nuances of natural language understanding, including sentiment analysis, named entity recognition, and dependency parsing.
โข Natural Language Generation (NLG): Learning the principles of natural language generation, including text summarization, machine translation, and dialogue systems.
โข Smart Systems and NLP Applications: Examining the practical applications of NLP in smart systems, such as virtual assistants, chatbots, and intelligent personal agents.
โข Data Preprocessing and Feature Engineering: Understanding how to preprocess and engineer data for NLP tasks, including data cleaning, normalization, and feature extraction.
โข Evaluation Metrics and Model Selection: Learning how to evaluate NLP models using various metrics, such as accuracy, precision, recall, and F1 score, and selecting the best model for a given task.
โข Transfer Learning and Pre-trained Models: Exploring the use of transfer learning and pre-trained models in NLP, including BERT, RoBERTa, and DistilBERT.
โข Ethical Considerations in NLP: Examining the ethical considerations in NLP, including issues related to bias, fairness, transparency, and accountability.
Parcours professionnel
Exigences d'admission
- Comprรฉhension de base de la matiรจre
- Maรฎtrise de la langue anglaise
- Accรจs ร l'ordinateur et ร Internet
- Compรฉtences informatiques de base
- Dรฉvouement pour terminer le cours
Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.
Statut du cours
Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :
- Non accrรฉditรฉ par un organisme reconnu
- Non rรฉglementรฉ par une institution autorisรฉe
- Complรฉmentaire aux qualifications formelles
Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.
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Frais de cours
- 3-4 heures par semaine
- Livraison anticipรฉe du certificat
- Inscription ouverte - commencez quand vous voulez
- 2-3 heures par semaine
- Livraison rรฉguliรจre du certificat
- Inscription ouverte - commencez quand vous voulez
- Accรจs complet au cours
- Certificat numรฉrique
- Supports de cours
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