NLP with Python

Reference: Trainevo-092022-IT- 11

Domain: IT

LANGUAGE (S):

DURATION :
5 days

Document

This training allows you to acquire theoretical and practical knowledge on automatic language processing (NLP). It addresses the main concepts, from classical statistical techniques to state-of-the-art deep learning models. The training includes a practice in Python to acquire operational skills.

Anyone wishing to gain theoretical and practical knowledge in NLP with Python.

Prerequisite:

Knowledge of Python.

Elements of statistics and/or machine learning.

Become aware of opportunities and use cases related to textual data.

Acquire the fundamental concepts of NLP, including the most advanced techniques.

Be able to implement a business project involving textual data.

Introduction to NLP

History and evolution of the NLP
Specificity of textual data
Pre-processing of textual data
Traditional NLP tasks (retrieving information, named entities, etc.)

NLP with statistical techniques

Technique de TF-IDF
Theme detection and LDA algorithm
Practice in Python

NLP with machine learning

Key Machine Learning Algorithms
Overlearning and regularization of ML algorithms
Training ML algorithms on textual data
Practice in Python

Distributed representations of words

Limitations of one-hot representations
Co-occurrence matrices
CBOW and skip-gram
Classic templates (Word2Vec, GloVe, fastText
Practice in Python

NLP with deep leearning.

Fundamentals of deep learning
Multilayer Perceptron
RNN and LSTM models
Seq-to-Seq Templates
Practice in Python

Self-supervised and multimodal learning

Attention Mechanism and Transformers
Fine tuning (BERT)
Few-shot learning (GPT-3)
Multimodal learning
Practice in Python

NLP Project

The training includes a theoretical course (adapted to the public’s achievements) and a practice in Python for each technique covered.

Enterprise use cases.

Submission of a certificate of attendance.

Address: 19 rue de l’industrie, 8069, Bertrange

For in-company training, please contact us.

Price

1600 € Tax free / Participant

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