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  • Statistical Classification

Results for "statistical classification"


  • Status: Preview
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    J

    Johns Hopkins University

    Artificial Intelligence for Breast Cancer Detection

    Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Oncology, Diagnostic Radiology, Bayesian Network, Artificial Neural Networks, Radiography, Machine Learning, Model Evaluation, Epidemiology, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    78 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    LLMOps

    Skills you'll gain: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Kubernetes, Model Evaluation, Software Versioning, Supervised Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    32 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    T

    The University of Notre Dame

    Ethics of Technology

    Skills you'll gain: Data Ethics, Analytical Skills, Responsible AI, Big Data, Ethical Standards And Conduct, Machine Learning, Business Ethics, Information Privacy, Artificial Intelligence, Technology Strategies, Social Justice

    4.6
    Rating, 4.6 out of 5 stars
    ·
    46 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Semantic Processing

    Skills you'll gain: Embeddings, Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    J

    Johns Hopkins University

    Gestion de l’analyse des données

    Skills you'll gain: Data Analysis, Analytical Skills, Data Management, Exploratory Data Analysis, Statistical Reporting, Data-Driven Decision-Making, Trend Analysis, Data Presentation, Data Collection, Statistical Modeling, Data Validation, Statistical Inference, Model Evaluation, Communication

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner · Course · 1 - 3 Months

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

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    R을 사용한 확률 및 데이터 소개

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Statistical Inference, R (Software), Probability Distribution, R Programming, Bayesian Statistics, Probability, Data Analysis, Statistical Analysis, Descriptive Statistics

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    New York University

    MOST from a Conceptual Perspective

    Skills you'll gain: Research Design, Experimentation, Clinical Trials, Clinical Research Ethics, Scientific Methods, Program Evaluation, Statistical Methods, Sample Size Determination, Public Health and Disease Prevention, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular statistical classification courses

  • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
  • LLMOps: DeepLearning.AI
  • Ethics of Technology: The University of Notre Dame
  • Applied Unsupervised Learning in Python: University of Michigan
  • Advanced Semantic Processing: Packt
  • Learning Deep Learning: Unit 1: Pearson
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • Gestion de l’analyse des données: Johns Hopkins University
  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA

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