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Results for "mathematical foundations for deep learning"
- Status: Free Trial
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Deep Learning, Unsupervised Learning, PyTorch (Machine Learning Library), Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Image Analysis, Natural Language Processing, Applied Machine Learning, Machine Learning Algorithms, Performance Tuning
- Status: Preview
DeepLearning.AI
Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Applied Machine Learning, Artificial Neural Networks
- Status: Preview
DeepLearning.AI
Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms
- Status: Preview
National Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation
- Status: Preview
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Python Programming, Machine Learning, Supervised Learning
- Status: Preview
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning
- Status: Free Trial
Simplilearn
Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Unsupervised Learning, Emerging Technologies, Digital Transformation
- Status: Preview
University of Washington
Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Machine Learning, Supervised Learning, Data Processing
- Status: Free Trial
Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Data Analysis, Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations
- Status: Preview
Northeastern University
Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra
In summary, here are 10 of our most popular mathematical foundations for deep learning courses
- Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
- Introduction to Deep Learning: University of Colorado Boulder
- Последовательные модели: DeepLearning.AI
- Réseaux neuronaux et Deep Learning: DeepLearning.AI
- 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
- Neuronale Netze und Deep Learning: DeepLearning.AI
- Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
- AI & Deep Learning Concepts and Applications: Simplilearn
- Computational Neuroscience: University of Washington
- Convolutional Neural Networks in TensorFlow: DeepLearning.AI