Results for "tensorflow+probability"
Skills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing, Data Import/Export
Imperial College London
Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning
University of Colorado Boulder
Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Markov Model, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Machine Learning Methods, Generative AI, Data Analysis, Correlation Analysis, Data Science, Machine Learning Algorithms, Mathematical Theory & Analysis
Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)
DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Model Training, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Fine-tuning, Artificial Neural Networks, Applied Machine Learning, Generative AI, Classification Algorithms, Forecasting, Machine Learning
Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation
What brings you to Coursera today?
Skills you'll gain: Transfer Learning, Model Evaluation, PyTorch (Machine Learning Library), Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Logistic Regression, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Model Training, Unsupervised Learning, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs)
University of London
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Data Visualization, Operations Research, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Statistical Analysis, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling, Decision Tree Learning, Regression Analysis
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)
Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations
Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Probability & Statistics, Sampling (Statistics), Algorithms
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, Applied Machine Learning, Model Optimization, Data Pipelines, Responsible AI, Statistical Modeling
In summary, here are 10 of our most popular tensorflow+probability courses
- Build & Optimize TensorFlow ML Workflows:Â Coursera
- TensorFlow 2 for Deep Learning:Â Imperial College London
- Foundations of Probability and Statistics:Â University of Colorado Boulder
- Statistical Inference & Predictive Modeling Foundations:Â Coursera
- DeepLearning.AI TensorFlow Developer:Â DeepLearning.AI
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
- IBM Deep Learning with PyTorch, Keras and Tensorflow:Â IBM
- Probability and Statistics: To p or not to p?:Â University of London
- TensorFlow: Advanced Techniques:Â DeepLearning.AI
- Foundations of Probability and Random Variables:Â Johns Hopkins University
