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Coursera Project Network
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming
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
Northeastern University
Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Probability & Statistics, Data Validation, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Advanced Mathematics, Verification And Validation, Dimensionality Reduction
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
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: Keras (Neural Network Library), Tensorflow, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Machine Learning Methods, Text Mining
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Bayesian Network, Machine Learning
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
Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), NumPy, Matplotlib, Python Programming, Artificial Neural Networks, Pandas (Python Package), Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Supervised Learning, Data Manipulation, Regression Analysis
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
Skills you'll gain: Deep Learning, Shiny (R Package), Applied Machine Learning, Image Analysis, PyTorch (Machine Learning Library), Predictive Modeling, Artificial Neural Networks, Tensorflow, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Computer Vision, Machine Learning, Dimensionality Reduction, Unsupervised Learning, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing
Skills you'll gain: Generative AI, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Applied Machine Learning, Deep Learning, Machine Learning, Python Programming, Computer Programming, Development Environment, Software Installation
In summary, here are 10 of our most popular gradient+descent courses
- Deep-Dive into Tensorflow Activation Functions: Coursera Project Network
- Deep Learning: Recurrent Neural Networks with Python: Packt
- Foundations of Statistical Learning & Algorithms: Northeastern University
- NVIDIA: Fundamentals of Deep Learning: Whizlabs
- CNNs with TensorFlow: Basics of Machine Learning: Coursera Project Network
- Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
- ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
- Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
- Deep Learning - Crash Course 2023: Packt
- Foundational Mathematics for AI: Johns Hopkins University