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  • Statistical Testing For Neural Data

Results for "statistical testing for neural data"


  • Status: New
    New
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    EDUCBA

    Sentiment Analysis with RNNs in Keras

    Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Tensorflow, Google Cloud Platform, Matplotlib

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Balancing with Gen AI: Credit Card Fraud Detection

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Data Preprocessing, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Visualization, Data Synthesis, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
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    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Data Analysis with OpenAI API: Save time with GenAI

    Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Exploratory Data Analysis, OpenAI, ChatGPT, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Product Knowledge, Sales Strategy, E-Commerce, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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
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    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Analyze Data in Azure ML Studio

    Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Compare Models with Experiments in Azure ML Studio

    Skills you'll gain: Jupyter, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Algorithms, Applied Machine Learning, Data Visualization, Regression Analysis

    Beginner · Guided Project · Less Than 2 Hours

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

  • Sentiment Analysis with RNNs in Keras: EDUCBA
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • Data Balancing with Gen AI: Credit Card Fraud Detection: Coursera
  • Data Analysis with OpenAI API: Save time with GenAI: Coursera
  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Machine Learning with Small Data Part 2: Northeastern University
  • Analyze Data in Azure ML Studio: Coursera

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