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Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Probability & Statistics, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra
Johns Hopkins University
Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Network Architecture, Linear Algebra, Artificial Intelligence, Probability & Statistics, Performance Testing
Skills you'll gain: Deep Learning, Data Processing, Artificial Neural Networks, Data Wrangling, NumPy, Applied Machine Learning, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Program Development, Network Architecture, Exploratory Data Analysis, Machine Learning Algorithms, Machine Learning, Algorithms, Linear Algebra, Probability & Statistics
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Tensorflow, Keras (Neural Network Library), Computer Vision, Jupyter, Machine Learning, Matplotlib, NumPy
- Status: Free
Skills you'll gain: Generative AI, Oracle Cloud, Supervised Learning, Machine Learning, Deep Learning, Artificial Intelligence, Artificial Neural Networks, Unsupervised Learning, Natural Language Processing, Cloud Services
Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Natural Language Processing
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Network Architecture, Algorithms
Skills you'll gain: Natural Language Processing, Text Mining, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Tensorflow, Artificial Neural Networks, Deep Learning, Data Processing, Machine Learning
- Status: Free
IIT Roorkee
Skills you'll gain: Linear Algebra, Machine Learning Algorithms, NumPy, Dimensionality Reduction, Advanced Mathematics, Applied Mathematics, General Mathematics, Data Transformation, Python Programming
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Computer Vision, Natural Language Processing, Machine Learning
Coursera Project Network
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Machine Learning
Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Network Model, Network Architecture
In summary, here are 10 of our most popular mathematical+foundations+of+neural+networks courses
- Foundational Mathematics for AI: Johns Hopkins University
- Introduction to Neural Networks: Johns Hopkins University
- Deep Neural Network for Beginners Using Python: Packt
- Advanced Generative Adversarial Networks (GANs): Packt
- Oracle Cloud Infrastructure AI Foundations: Oracle
- Introduction to RNN and DNN: Packt
- Deep Learning: Recurrent Neural Networks with Python: Packt
- NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
- Linear Algebra Basics: IIT Roorkee
- Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt