Best Machine Learning Courses & Certificates [2025] | Coursera …
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Machine Learning | Coursera
The new Machine Learning Specialization includes an expanded list of topics that focus on the most crucial machine learning concepts (such as decision trees) and tools (such as …
Machine Learning and its Applications - Coursera
One of the most important applications of AI in engineering is classification and regression using machine learning. After taking this course, students will have a clear understanding of …
Supervised Machine Learning: Regression and Classification
• Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary …
Deep Learning with PyTorch - Coursera
This course advances from fundamental machine learning concepts to more complex models and techniques in deep learning using PyTorch. This comprehensive course covers techniques …
Microsoft Azure for AI and Machine Learning - Coursera
This course provides hands-on experience with Microsoft Azure's AI and ML services. You will learn to set up, manage, and troubleshoot Azure-based AI & ML workflows. The course covers …
Foundations of AI and Machine Learning - Coursera
This course provides a comprehensive introduction to fundamental components of artificial intelligence and machine learning (AI & ML) infrastructure. You will explore the critical …
Machine Learning with PySpark - Coursera
Machine Learning with PySpark introduces the power of distributed computing for machine learning, equipping learners with the skills to build scalable machine learning models. Through …
Microsoft AI & ML Engineering Professional Certificate
This comprehensive program is designed to prepare you for the dynamic field of artificial intelligence and machine learning. Across five courses, you gain a deep understanding of AI & …
Applied Machine Learning: Techniques and Applications
Delve into specialized topics such as computer vision and learn to implement and assess various machine learning models. This course combines theoretical insights with practical lab activities …