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  • Task Parallel Library Net Framework

Results for "task parallel library (.net framework)"


  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    DeepLearning.AI TensorFlow Developer

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Data Quality, Data Manipulation, Image Analysis, Data Pipelines, Dataflow, Applied Machine Learning, Data Preprocessing, Model Training, Model Optimization, AI Workflows, Model Evaluation, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    84 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Applied Machine Learning, Predictive Modeling, Classification Algorithms, Predictive Analytics, Model Optimization, Tensorflow, Machine Learning, Model Training, Supervised Learning, Deep Learning, Regression Analysis, Model Evaluation, Statistical Methods, Data Preprocessing, Artificial Neural Networks, Data Processing, Probability & Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • 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
    ·
    5.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Good

    Skills you'll gain: Model Evaluation, Fine-tuning, Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Machine Learning Algorithms, Model Training, Responsible AI, Emergency Response, Climate Change Adaptation, Artificial Intelligence, Machine Learning, Mitigation, Applied Machine Learning, Computer Vision, Supervised Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    616 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Transfer Learning, Model Evaluation, Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Model Training, PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Data Preprocessing, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Artificial Intelligence, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    693 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    2

    28DIGITAL

    Performance measures and validation methods

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Statistical Machine Learning, Model Optimization, Statistical Modeling, Performance Testing, Machine Learning, Statistics, Predictive Modeling, Analysis, Verification And Validation, Statistical Analysis, Data Analysis, Data-Driven Decision-Making, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Machine Learning With Big Data

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Model Training, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Statistical Analysis, Machine Learning Software, Machine Learning, Data Analysis, Unsupervised Learning, Machine Learning Algorithms, Data Wrangling, Descriptive Statistics, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Python

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Presentation, Data Visualization Software, Data Analysis, Scikit Learn (Machine Learning Library), Data Collection, Jupyter, Python Programming, Data Synthesis, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    109 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Generative AI Models and GPU Systems

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality

    Beginner · Course · 1 - 4 Weeks

1…567…31

In summary, here are 10 of our most popular task parallel library (.net framework) courses

  • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
  • PyTorch: Fundamentals: DeepLearning.AI
  • Introduction to Neural Networks and PyTorch: IBM
  • Probabilistic Graphical Models: Stanford University
  • Sequences, Time Series and Prediction: DeepLearning.AI
  • AI for Good: DeepLearning.AI
  • AI Capstone Project with Deep Learning : IBM
  • Performance measures and validation methods: 28DIGITAL
  • Machine Learning With Big Data: University of California San Diego
  • Data Analysis and Visualization with Python: Microsoft

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