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Results for "support+vector+machines+%28svm%29"
Status: FreePeking University
Skills you'll gain: Entrepreneurship, Business Development, Entrepreneurial Finance, People Management
Duke University
Skills you'll gain: Cloud Computing, Machine Learning Software
Status: FreeNanjing University
Status: FreeAmazon Web Services
Status: FreeEdge Impulse
Skills you'll gain: Algorithms, Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Computer Programming, Python Programming
Coursera Project Network
Skills you'll gain: Data Science, Machine Learning, Python Programming
Status: FreeDeepLearning.AI
Skills you'll gain: Generative AI
New York University
Skills you'll gain: Machine Learning, Human Learning, Algorithms, Finance, Machine Learning Algorithms, Regression, Statistical Machine Learning, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Tensorflow
Google Cloud
Status: FreeUniversity of Minnesota
Skills you'll gain: Algebra, Linear Algebra, Mathematics, Problem Solving
Alberta Machine Intelligence Institute
Skills you'll gain: Algorithms, Human Learning, Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Software, Exploratory Data Analysis, Regression
Duke University
Skills you'll gain: Machine Learning, Microsoft Azure, Python Programming
In summary, here are 10 of our most popular support+vector+machines+%28svm%29 courses
- 真格—北大在线创业课堂: Peking University
- MLOps Tools: MLflow and Hugging Face: Duke University
- 结构生物化学（Structural Biochemistry): Nanjing University
- Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
- Computer Vision with Embedded Machine Learning: Edge Impulse
- Support Vector Machines in Python, From Start to Finish: Coursera Project Network
- Building Applications with Vector Databases: DeepLearning.AI
- Guided Tour of Machine Learning in Finance: New York University
- Vector Search and Embeddings: Google Cloud
- Matrix Methods: University of Minnesota
