Maîtrisez l'Intelligence Artificielle
Maîtrisez les concepts fondamentaux du machine learning et du Deep learning et créez vos propres intelligences artificielles.
Des ateliers pratiques sur les principales applications d'IA: Computer Vision, Multimedia Object Analysis and Classification, Sentiment Analysis, scrapping comments from social network and Word Embedding ,Data Analysis, ...
Premier jour 14 Mars 2022
Design of the Computer Vision System for Multimedia Object Analysis and Classification
Handcrafted approaches for Multimedia Object Representation (Features Detection, Features Extraction, Features Selection, and Features Transformation)
Practical Session I: Python tools for Computer Vision
Deep Learning-based approaches for Multimedia Object Segmentation & Representation (Autoencoder, Sparse Autoencoder, Convolution Neural Network, and Transfer learning)
Practical Session II: Deep Learning tools for Multimedia Object Representation based on Deep Learning
Machine Learning & Deep Learning for Multimedia Object Classification (Similarity-based, Probabilities based, Support Vector Machines, Neural Network, Long-short Term Memory (LSTM)
Practical Session III: Deep Learning tools for Multimedia Object Classification based on Machine Learning & Deep Learning
Deuxième jour 15 Mars 2022
Design of the Making Decision System for Sentiment Analysis and Topic Modeling Analysis and Classification
Data Cleaning & Engineering: Tokenization, Lemmatization, stop words, Punctuation, N-gram, Spell check and translation
Textual data Visualization, clustering & Textual Data Analysis
Practical Session I: Python tools for NLP Preparation (from cleaning to analysis)
Scrapping comments from Social Network
troisième jour 16 Mars 2022
Word Embedding techniques (Bag of words, Word2Vec, FastText)
Learning of Word Embedding
Practical Session II: Python tools for scrapping comments from social network and Word Embedding
Machine Learning and Deep Learning for Sentiment Analysis (Similarity-based, Probability-based, Support Vector Machines based, Neural Network-based, Auto-encoder & Long short term memory)
Practical Session III: Machine Learning and Deep Learning for Topic Modeling
Quatrième jour 17 Mars 2022
Design of the Making Decision System for Data Analysis and Classification
Data Cleaning, Engineering & Data Visualization
Data Analysis, Correlation Matrix Analysis, Principal Component Analysis
Practical Session I: Python tools for Data Preparation (from cleaning to analysis)
Data Representation & Data Transformation
Data Selection
Practical Session II: Python tools for Data Representation, Transformation, and Analysis
Le workshop se tiendra à l'Hôtel Kuriat Palace (5 étoiles), Monastir.
Le tarif de ce workshop est de:
Le tarif avec hébergement inclut l'hébergement de 3 nuiteés en pension complète, la formation pendant 4 jours, bloc-notes, pauses-café.
Pour plus de détails :
École d'hiver de l'embarqué et de l'Intelligence artificielle
(29-30 Janvier 2021)
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