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Débute 4 June 2026 02:38
Se termine 4 June 2026
Machine Learning and AI with Python
Harvard University
24 Cours
L'Université Harvard est une université de recherche privée de l'Ivy League, mondialement reconnue, située à Cambridge, dans le Massachusetts. Fondée en 1636, c'est l'une des plus anciennes institutions d'enseignement supérieur aux États-Unis.
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Aperçu
Embark on a transformative journey into the realm of artificial intelligence (AI) and machine learning with Python, offered by Harvard University through edX. This meticulously designed course delves into the intricate world of decision-making processes enhanced by AI.
Understanding the complexities of making decisions in a world inundated with data is challenging.
That's where the power of machine learning with Python steps in, revolutionizing the way organizations handle massive repositories of data. By teaching machines to learn from data, predict outcomes, and make informed decisions, this course positions you at the forefront of technological advancements.
Starting with the foundation of machine learning - decision trees - the course gradually escalates your expertise through an exploration of more sophisticated algorithms, including bagging and random forests, and eventually leading into gradient boosting.
Practical application is a cornerstone of this learning experience.
Utilizing real-world case studies and sample data sets, participants will engage in a hands-on approach to understand the mechanics behind machine learning. This includes setting expectations, analyzing outcomes, and continuously refining machine learning models to ensure accuracy and prevent common pitfalls such as overfitting and biased results.
By the end of this course, participants will have a solid understanding of how to leverage Python for machine learning, ensuring they're well-prepared to harness the full potential of their data.
This course is part of a comprehensive curriculum that spans Artificial Intelligence Courses, Python Courses, and Machine Learning Courses, solidifying your expertise in these cutting-edge technological domains.
Enseigné par
Pavlos Protopapas
