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  • Neuroscience Methodologies

Results for "neuroscience methodologies"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Machine Learning Algorithms, Debugging, Artificial Intelligence, Applied Machine Learning, Image Analysis, Unsupervised Learning, Machine Learning, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Bayesian Statistics, Supervised Learning, Network Architecture, Markov Model

    4.3
    Rating, 4.3 out of 5 stars
    ·
    10 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Neural Basis of Imagination, Free Will, and Morality

    Skills you'll gain: Liberal Arts, Neurology, Research, Psychology, Social Sciences, Science and Research, Ethical Standards And Conduct, Anthropology, Sociology, Cultural Diversity

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • 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, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Predictive Modeling, Health Informatics, Machine Learning, Unsupervised Learning, Feature Engineering, Medical Imaging, Python Programming, Dimensionality Reduction, Network Architecture

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Illinois Urbana-Champaign

    Advanced Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Image Analysis, Graph Theory, Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Health Informatics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Data Synthesis, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Exploratory Data Analysis

    Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Statistical Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Box Plots, Data Analysis, Histogram, Unsupervised Learning, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
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    6.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Peking University

    Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

    Skills you'll gain: Bioinformatics, Biostatistics, Molecular Biology, Predictive Modeling, Informatics, Biology, Computational Thinking, Bayesian Statistics, Machine Learning Algorithms, Statistical Analysis, Data Analysis Software, Data Processing

    4.4
    Rating, 4.4 out of 5 stars
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    283 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Fundamentals of CNNs and RNNs

    Skills you'll gain: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Architecture, Network Model, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Image Analysis, Computer Vision, Data Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Università Bocconi

    A Scientific Approach to Innovation Management

    Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Decision Making, Statistical Methods, Big Data, Business Metrics, A/B Testing, Probability, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    79 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), R Programming, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular neuroscience methodologies courses

  • Foundations of Neural Networks: Johns Hopkins University
  • Neural Basis of Imagination, Free Will, and Morality: Dartmouth College
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Advanced Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Exploratory Data Analysis: Johns Hopkins University
  • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
  • Fundamentals of CNNs and RNNs: Sungkyunkwan University
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn

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