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  • Statistical Testing For Neural Data

Results for "statistical testing for neural data"


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    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Intermediate · Specialization · 3 - 6 Months

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    E

    EDUCBA

    Apply Hypothesis Testing with Minitab for Data Analysis

    Skills you'll gain: Business Analytics, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Apply Neural Networks for Car Price Prediction

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    C

    Coursera

    Start Neural Networks Advanced Model Architectures

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Minitab Applied Statistics & Hypothesis Testing Mastery

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Business Analytics, Sampling (Statistics), Probability & Statistics, Probability Distribution, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Performance Analysis, Predictive Analytics, Statistical Inference, Case Studies, Statistical Visualization, Quality Control, Statistical Modeling

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Debug Neural Networks: Analyze Training Dynamics

    Skills you'll gain: Applied Machine Learning, Analysis, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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  • Status: New
    New
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    C

    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Histogram, Data Presentation, Predictive Modeling, Data Storytelling, Exploratory Data Analysis, Risk Analysis, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library), Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    789 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

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

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Statistical Tests for Market Research

    Skills you'll gain: Statistical Hypothesis Testing, A/B Testing, Data-Driven Decision-Making, Customer Analysis, Statistical Methods, Market Research, Statistical Analysis, Business Analytics, Probability & Statistics, Statistical Inference, Data Analysis, Descriptive Statistics, Microsoft Excel, Data Analysis Software, Spreadsheet Software

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

1234…834

In summary, here are 10 of our most popular statistical testing for neural data courses

  • Foundations of Neural Networks: Johns Hopkins University
  • Apply Hypothesis Testing with Minitab for Data Analysis: EDUCBA
  • Apply Neural Networks for Car Price Prediction: EDUCBA
  • Start Neural Networks Advanced Model Architectures: Coursera
  • Minitab Applied Statistics & Hypothesis Testing Mastery: EDUCBA
  • Debug Neural Networks: Analyze Training Dynamics: Coursera
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Introduction to Neural Networks and PyTorch: IBM
  • Statistical Tests for Market Research: Coursera

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