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Python Artificial Intelligence

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Develop Python scripts for artificial intelligence applications using libraries like TensorFlow and PyTorch
  • Implement machine learning algorithms in Python for data analysis and predictive modeling
  • Apply Python to develop neural networks and deep learning models for AI projects
  • Utilize Python tools to optimize AI performance and improve model accuracy in real-world scenarios

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Lessons | 4

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14 Reviews

ANILREDDY KANUBUDDI

GOOD
2025-11-26

Prerna Tiwari

good
2025-11-13

Reza Soltani

it was very nice
2025-11-07

SALMA RIDARI

Voici un feedback court sur l'IA en Python :

**Feedback :**

Python est le meilleur choix pour l'IA grâce à sa simplicité et ses bibliothèques puissantes (TensorFlow, PyTorch, scikit-learn). Le plus grand piège : se précipiter vers le deep learning sans maîtriser les bases. Commencez par les algorithmes classiques, concentrez-vous sur la qualité des données (pas la complexité du modèle), et surtout, pratiquez avec des projets réels. La théorie seule ne suffit pas - codez, échouez, apprenez.
2025-11-02

Abdelkader Majbour

Thank you
2025-10-03

lekha baheti

nice, but can add more information
2025-09-29

KERENKIM SREENI S

good
2025-09-02

Adithya Ajay pillai

very useful website
2025-06-01

Nitish Kumar

very nice
2024-12-22

Ahmed Khalil

medium
2024-12-13

Shankar H

Best
2024-11-23

EBENEZER KAVVURI.

awesome
2024-10-29

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Python is a more well-known programming language than C++ for AI and has a lead with a 57% majority vote from developers. This is due to the fact that Python is simple to master and use. With its numerous libraries, it is also able to be used to analyze data. Performance-wise, C++ outperforms Python.