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  • Implement Sequential Importance Sampling In Octave

Results for "implement sequential importance sampling in octave"


  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Advanced Statistical Analysis and Tools

    Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Improvement, Lean Methodologies, Kaizen Methodology, Process Capability, Six Sigma Methodology, Risk Analysis, Quality Improvement, Process Analysis, Statistical Analysis, Statistical Methods, Risk Management, Business Process, Sample Size Determination, Data Collection, Graphing

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Improving Accuracy of LLM Applications

    Skills you'll gain: LLM Application, Test Data, Prompt Engineering, Model Evaluation, Transfer Learning, Generative AI Agents, Performance Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    RStudio for Six Sigma - Control Charts

    Skills you'll gain: Statistical Process Controls, Six Sigma Methodology, Quality Control, Plot (Graphics), Data Literacy, Statistical Analysis, R Programming

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Data Processing and Feature Engineering with MATLAB

    Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Data Preprocessing, Exploratory Data Analysis, Data Visualization, Plot (Graphics), Matlab, Data Processing, Data Cleansing, Data Manipulation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    351 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Quantization in Depth

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Efficiently Serving LLMs

    Skills you'll gain: LLM Application, Large Language Modeling, Transfer Learning, Performance Tuning, Generative AI

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Prompt Compression and Query Optimization

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Prompt Engineering, MongoDB, Query Languages, Metadata Management, Performance Tuning, Embeddings, Data Pipelines

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Statistics and Data Analysis with Excel: Intermediate

    Skills you'll gain: Pivot Tables And Charts, Data Visualization, Statistical Inference, Data Visualization Software, Correlation Analysis, Microsoft Excel, Probability & Statistics, Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Excel Formulas, Statistical Analysis, Sampling (Statistics), Trend Analysis, Forecasting, Variance Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Simulation of Covid-19 Testing Process Using R Simmer

    Skills you'll gain: Simulations, Visualization (Computer Graphics), Statistical Visualization, R (Software), R Programming, Statistical Modeling, Statistical Programming, Statistical Analysis, Process Analysis, Data Analysis, Test Case

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Practice

    Skills you'll gain: Amazon Elastic Compute Cloud, Cloud Applications, Bioinformatics, Cloud Computing Architecture, Cloud Computing, Algorithms, Development Environment, Performance Tuning, Computer Architecture, Hardware Architecture, System Design and Implementation, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular implement sequential importance sampling in octave courses

  • Advanced Statistical Analysis and Tools : SkillUp
  • Improving Accuracy of LLM Applications: DeepLearning.AI
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • RStudio for Six Sigma - Control Charts: Coursera
  • Data Processing and Feature Engineering with MATLAB: MathWorks
  • Quantization in Depth: DeepLearning.AI
  • Efficiently Serving LLMs: DeepLearning.AI
  • Modeling Time Series and Sequential Data: SAS
  • Prompt Compression and Query Optimization: DeepLearning.AI
  • Statistics and Data Analysis with Excel: Intermediate: Macquarie University

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