{"id":2309,"date":"2025-08-04T19:50:10","date_gmt":"2025-08-04T17:50:10","guid":{"rendered":"https:\/\/expand-edih.com\/servizio\/ai-for-data-analysis-learning-and-deriving-value-from-structured-and-unstructured-data\/"},"modified":"2025-09-29T09:45:03","modified_gmt":"2025-09-29T07:45:03","slug":"ai-for-data-analysis-learning-and-deriving-value-from-structured-and-unstructured-data","status":"publish","type":"servizio","link":"https:\/\/expand-edih.com\/en\/servizio\/ai-for-data-analysis-learning-and-deriving-value-from-structured-and-unstructured-data\/","title":{"rendered":"AI for Data Analysis: Learning and Deriving Value from Structured and Unstructured Data"},"content":{"rendered":"<p>The course provides the theoretical and practical foundations of the main data analysis and machine learning techniques. Advanced Deep Learning (DL) techniques are presented, offering an overview of models such as RNN (Recurrent Neural Networks), LSTM (Long Short-Term Memory), and an introduction to transformers. <\/p>\n<h5><strong>CONTENT<\/strong><\/h5>\n<p><strong>Introduction to Deep Learning:<\/strong><br \/>\n\u2022 Neural Networks.<br \/>\n\u2022 Loss function and training.<br \/>\n<strong>Data Preparation:<\/strong><br \/>\n\u2022 Data cleaning and normalization.<br \/>\n\u2022 Data visualization techniques.<br \/>\n<strong>Machine Learning:<\/strong><br \/>\n\u2022 Linear Regression.<br \/>\n\u2022 Logistic Regression.<br \/>\n\u2022 KNN (K-Nearest Neighbors) \/ SVM (Support Vector Machine) \/ PCA (Principal Component Analysis)\/ K-Means.<br \/>\n<strong>Deep Learning<\/strong><br \/>\n\u2022 RNN, LSTM.<br \/>\n\u2022 Introduction to Transformers.<br \/>\n<strong>Exercises<\/strong><\/p>\n<h5><strong>OBJECTIVES<\/strong><\/h5>\n<p>The course aims to provide students with the necessary knowledge to apply the main Machine Learning and Deep Learning techniques to real datasets. Students will learn to implement regression, classification, and clustering algorithms, while gaining an overview of neural networks and how they are used for sequential data analysis. <\/p>\n<h5><strong>LEARNING OUTCOMES<\/strong><\/h5>\n<p>By the end of the course, students will be able to process, clean, and normalize data for analysis. They will learn to correctly choose and apply ML and DL algorithms, and receive an initial introduction to Transformers. <\/p>\n<h5><strong>PREREQUISITES<\/strong><\/h5>\n<p>Experience in Python programming.<\/p>\n","protected":false},"featured_media":0,"parent":0,"template":"","categoria-servizi":[96,97],"livello":[92],"livello-corso":[98],"tematica":[102],"class_list":["post-2309","servizio","type-servizio","status-publish","hentry","categoria-servizi-training-and-skills-development-2","categoria-servizi-vertical-training-programmes","livello-specialized","livello-corso-practical","tematica-artificial-intelligence"],"acf":[],"_links":{"self":[{"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio\/2309","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio"}],"about":[{"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/types\/servizio"}],"version-history":[{"count":2,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio\/2309\/revisions"}],"predecessor-version":[{"id":2691,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio\/2309\/revisions\/2691"}],"wp:attachment":[{"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/media?parent=2309"}],"wp:term":[{"taxonomy":"categoria-servizi","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/categoria-servizi?post=2309"},{"taxonomy":"livello","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/livello?post=2309"},{"taxonomy":"livello-corso","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/livello-corso?post=2309"},{"taxonomy":"tematica","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/tematica?post=2309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}