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  • Tensorflow Probability

Results for "tensorflow probability"


  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Optimize and Deploy Edge AI Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Statistical Modeling, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    682 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
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    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequences, Time Series and Prediction

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    5.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
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    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Améliorez les réseaux neuronaux profonds

    Skills you'll gain: Deep Learning, Tensorflow, Model Evaluation, Applied Machine Learning, Artificial Neural Networks, Machine Learning Methods, Performance Tuning, Machine Learning, Data Validation, Debugging, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    6.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Deep Learning with TensorFlow

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
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    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Responsible AI, Tensorflow, Model Evaluation, Data Analysis, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Machine Learning Algorithms, Data Strategy, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, MLOps (Machine Learning Operations)

    4.2
    Rating, 4.2 out of 5 stars
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    30 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular tensorflow probability courses

  • Optimize and Deploy Edge AI Models: Coursera
  • Probability and Statistics: To p or not to p?: University of London
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Sequences, Time Series and Prediction: DeepLearning.AI
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Améliorez les réseaux neuronaux profonds: DeepLearning.AI
  • Natural Language Processing in TensorFlow: DeepLearning.AI
  • Foundations of Probability and Random Variables: Johns Hopkins University

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