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Results for "mathematical+foundations+of+neural+networks"
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis
Coursera Project Network
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision
Johns Hopkins University
Skills you'll gain: Anatomy, Radiology, Experimentation, Research Design, Psychology, Image Analysis, Science and Research, Scientific Methods, Medical Science and Research, General Medical Tests and Procedures, Medical Terminology, Quantitative Research
University of Washington
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming
- Status: Free
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Calculus, Trigonometry, Algebra, Mathematical Theory & Analysis, Differential Equations, Linear Algebra
- Status: Free
Amazon Web Services
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation
DeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Ethics, Computer Graphics, Machine Learning
Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Cleansing, Artificial Intelligence, Continuous Deployment, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability, Feature Engineering, Version Control
Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Machine Learning, Machine Learning Algorithms, Calculus
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Data Science, Exploratory Data Analysis, Data Analysis, Statistical Visualization
- Status: Free
National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Theoretical Computer Science, Applied Mathematics, Statistical Methods, Regression Analysis, Algorithms, Artificial Intelligence
In summary, here are 10 of our most popular mathematical+foundations+of+neural+networks courses
- Deep Learning with PyTorch: IBM
- Introduction to Machine Learning: Duke University
- Basic Image Classification with TensorFlow: Coursera Project Network
- Fundamental Neuroscience for Neuroimaging: Johns Hopkins University
- Machine Learning Foundations: A Case Study Approach: University of Washington
- Basic Mathematics: Birla Institute of Technology & Science, Pilani
- Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
- Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
- Foundations of AI and Machine Learning: Microsoft
- Mathematics for Machine Learning: PCA: Imperial College London