Machine Learning Specialization, #BreakIntoAI with Machine Learning Specialization. Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng.
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Build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression)
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Build & train a neural network with TensorFlow to perform multi-class classification, & build & use decision trees & tree ensemble methods
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Apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection
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Build recommender systems with a collaborative filtering approach & a content-based deep learning method & build a deep reinforcement learning model
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Stanford University
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Specialization – 3 course series