Filter by
The language used throughout the course, in both instruction and assessments.
Results for "probabilistic+neural+network"
- Status: Free
Universidad Nacional Autónoma de México
Skills you'll gain: Descriptive Statistics, Statistics, Data Analysis, Statistical Methods, Correlation Analysis, Statistical Analysis, Data Presentation, Probability, Data-Driven Decision-Making, Quantitative Research, Regression Analysis, Probability Distribution, Exploratory Data Analysis, Graphing
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, Data Transformation
Coursera Project Network
Skills you'll gain: Data Cleansing, Data Processing, Pandas (Python Package), Applied Machine Learning, Data Analysis, Data Import/Export, Classification And Regression Tree (CART), Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Machine Learning, Supervised Learning
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis
Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence, Time Series Analysis and Forecasting, Computer Vision, Natural Language Processing, Performance Tuning
DeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Ethics, Computer Graphics, Machine Learning
- Status: Free
University of Zurich
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Applied Mathematics, Statistical Methods, Risk Analysis, Financial Modeling
Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction
University of Washington
Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Machine Learning, Natural Language Processing, Real Time Data, Probability & Statistics, Algorithms
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Feature Engineering, Statistical Modeling, Sampling (Statistics), Performance Metric
Skills you'll gain: Generative AI, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Network Architecture, Natural Language Processing, NumPy
DeepLearning.AI
Skills you'll gain: Image Analysis, Predictive Modeling, Risk Modeling, Data Processing, Artificial Intelligence, Classification And Regression Tree (CART), Applied Machine Learning, Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Radiology, Artificial Neural Networks, Probability & Statistics, Supervised Learning
In summary, here are 10 of our most popular probabilistic+neural+network courses
- EstadÃstica y probabilidad: Universidad Nacional Autónoma de México
- Convolutional Neural Networks in TensorFlow: DeepLearning.AI
- Breast Cancer Prediction Using Machine Learning: Coursera Project Network
- Introduction to Machine Learning: Duke University
- Deep Learning with Keras and Tensorflow: IBM
- Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
- An Intuitive Introduction to Probability: University of Zurich
- Probabilistic Deep Learning with TensorFlow 2: Imperial College London
- Machine Learning: Classification: University of Washington
- Supervised Machine Learning: Classification: IBM