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Results for "mathematical+foundations+for+deep+learning"
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
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, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling
Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Dashboard, MLOps (Machine Learning Operations), Big Data, Data Visualization Software, Data Processing, Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Data Warehousing, Machine Learning, Feature Engineering
DeepLearning.AI
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Analysis, Debugging
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, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Transformation, Data Manipulation, Data Science
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Supervised Learning, Regression Analysis
Google Cloud
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Machine Learning Methods, Feature Engineering, Machine Learning, Small Data, Data Processing, Cloud API
Skills you'll gain: Generative AI, OpenAI, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Natural Language Processing, Machine Learning, Open Source Technology
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Transformation, Data Science, Machine Learning Methods, Algorithms, Data Manipulation, Python Programming
DeepLearning.AI
Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Network Architecture, Machine Learning, Data Processing, Algorithms
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Unsupervised Learning, Reinforcement Learning, Deep Learning, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Predictive Modeling, Applied Machine Learning, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Artificial Intelligence, Machine Learning, Scientific Visualization, Computer Vision
In summary, here are 10 of our most popular mathematical+foundations+for+deep+learning courses
- Neural Networks and Deep Learning: DeepLearning.AI
- Mathematics for Machine Learning: Imperial College London
- Google Cloud Big Data and Machine Learning Fundamentals: Google Cloud
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Introduction to Deep Learning & Neural Networks with Keras: IBM
- Computer Vision Fundamentals with Google Cloud: Google Cloud
- Generative AI: Foundation Models and Platforms: IBM
- Mathematics for Machine Learning: Linear Algebra: Imperial College London