Aperçu des sections

• 

  Généralités

  • Annonces Forum
  •                 Overview

  • Module Presentation

    Unit: Transversal Units
    Credits: 02
    Coefficient: 02

    Specialization: Accounting and Auditing

  •           Some Introduction

  • Course Instructor: Chaima Djellab
    Email: chaima-ahlem-karima.djellab@univ-annaba.dz

    Office Hours: Sunday, 11:00 AM — Computer Lab Room

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  Syllabus

  • Syllabus avec signatures des étudiants

  • Let's Check Fichier
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  Section 2

  • To successfully follow this course, students should have:

    1. Mathematics & Statistics: Basic knowledge of linear algebra (matrices, vectors), probability, and statistics.
    2. Programming Skills: Familiarity with Python programming (variables, loops, functions, libraries).
    3. Machine Learning Basics: Understanding of supervised and unsupervised learning, regression, and classification.
    4. Data Handling: Ability to use libraries such as NumPy, Pandas, and Matplotlib for data preprocessing and visualization.
    5. English Reading Skills: Ability to read and understand scientific material in English (documentation, research papers).
  • Prerequires test
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  Presentation

  • Topic Fichier
  • to be evaluated Devoir
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  Unit one: What's deep learning concept ?

  • check documentation Fichier
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  Unit 02: Introduction to machine learning

  • Documentation Fichier