Ce que vous devez savoir avant
Vous commencez
Débute 4 June 2026 07:11
Se termine 4 June 2026
Advanced Learning Algorithms
2865 Cours
Non spécifié
Amélioration optionnelle disponible
Tous niveaux
Progressez à votre rythme
Free
Amélioration optionnelle disponible
Aperçu
Embark on a journey to mastering the complexities of machine learning with the "Advanced Learning Algorithms" course, the second installment of the Machine Learning Specialization, a collaborative offering from DeepLearning.AI and Stanford Online, hosted on Coursera. This course is meticulously designed to provide hands-on experience in building and training neural networks for multi-class classification using TensorFlow, and dives into the usage of decision trees and tree ensemble methods such as random forests and boosted trees.
Delve into the art and science of machine learning development with best practices that ensure your models are primed for real-world application.
This program is structured to be beginner-friendly, opening the doors to anyone aspiring to learn the fundamentals of machine learning and apply these techniques in developing AI applications. Helmed by AI luminary Andrew Ng, this specialization draws from his extensive experience in shaping the field of artificial intelligence through his work with Stanford University, Google Brain, Baidu, and Landing.AI.
The updated and expanded 3-course Specialization builds on Andrew Ng's pioneering Machine Learning course.
Celebrated for its significant impact, the original course boasts a rating of 4.9 out of 5 and has educated over 4.8 million learners since its inception in 2012. This comprehensive program covers a wide range of topics, including supervised learning (multiple linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and essential Silicon Valley best practices for AI and machine learning innovation.
Upon completing the Specialization, you'll not only have a solid understanding of key theoretical concepts but also possess the practical skills to apply machine learning effectively to solve challenging problems in the real world.
Whether you're aiming to break into AI, or aiming to advance your career in machine learning, enrolling in the Machine Learning Specialization marks the beginning of your success journey. Explore courses under Machine Learning, Neural Networks, TensorFlow, Algorithms and Data Structures, and more, exclusively on Coursera.
Enseigné par
Andrew Ng, Eddy Shyu, Aarti Bagul and Geoff Ladwig
