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Results for "mathematical foundations for deep learning"
DeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Machine Learning Methods, Python Programming, Data-Driven Decision-Making, Text Mining, Machine Learning Algorithms
- Status: New
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Statistical Methods, Data Import/Export, Artificial Intelligence, Scientific Visualization, Computer Vision, Time Series Analysis and Forecasting
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), IBM Cloud, Private Cloud, Data Loss Prevention, Deep Learning, WordPress, Artificial Neural Networks, Cloud Services, Application Deployment, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Software Development Tools, Image Analysis
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Machine Learning, Python Programming, NumPy, Performance Tuning
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Forecasting, Machine Learning, Supervised Learning, Data Processing, Data Transformation
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Feature Engineering, Markov Model, Supervised Learning, Artificial Neural Networks, Applied Machine Learning, Performance Testing, Algorithms, Statistical Methods, Pseudocode, Linear Algebra
Imperial College London
Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Unsupervised Learning, Python Programming, Probability & Statistics, Time Series Analysis and Forecasting
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Geometry, Machine Learning Methods, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling, Python Programming
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Data Analysis, Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning, Data Access, Anomaly Detection, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
MathWorks
Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Machine Learning, Data Manipulation, Analysis, Network Architecture
In summary, here are 10 of our most popular mathematical foundations for deep learning courses
- Deep Learning: DeepLearning.AI
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Machine Learning: DeepLearning.AI
- AI Foundations for Everyone: IBM
- Neural Networks and Deep Learning: DeepLearning.AI
- DeepLearning.AI TensorFlow Developer: DeepLearning.AI
- Reinforcement Learning: University of Alberta
- TensorFlow 2 for Deep Learning: Imperial College London
- Mathematics for Machine Learning: Imperial College London