Python pour le Deep Learning & le Machine Learning: A à Z

Course Overview

• Course Title: Python pour le Deep Learning & le Machine Learning: A à Z
• Instructor: Clara Donnart
• Target Audience:
  • Beginners in Machine Learning and Deep Learning
  • Python programmers
  • Individuals interested in artificial intelligence
• Prerequisites:
  • Basic mathematical skills
  • Basic programming experience with Python
  • Passion and flexibility for learning

Curriculum Highlights

• Key Topics Covered:
  • Introduction to Machine Learning and Deep Learning
  • Basics of Python programming for AI tasks
  • Building artificial neural networks with Tensorflow and Keras
  • Making predictions with linear, polynomial, and multivariate regression
  • Real-world problem-solving using Python frameworks
• Key Skills Learned:
  • Utilizing Python for Machine Learning and Deep Learning
  • Constructing neural networks with Tensorflow and Keras
  • Implementing regression techniques for predictions
  • Applying AI and Deep Learning to real-world scenarios

Course Format

• Duration: 4.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 3 articles
  • 21 downloadable resources
  • Access on mobile and TV
  • Certificate of completion