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  • Statistical Classification

Results for "statistical classification"


  • N

    New York Institute of Finance

    Market Risk Management: Frameworks & Strategies

    Skills you'll gain: Portfolio Risk, Risk Management, Financial Market, Derivatives, Risk Management Framework, Portfolio Management, Risk Analysis, Market Data, Equities, Capital Markets, Estimation, Financial Modeling, Statistical Analysis, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    208 reviews

    Beginner · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Data Science for Business Innovation

    Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Analysis, Risking, Machine Learning, Unsupervised Learning, Regression Analysis, Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    272 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Browser-based Models with TensorFlow.js

    Skills you'll gain: Image Analysis, Tensorflow, Transfer Learning, Convolutional Neural Networks, Computer Vision, JSON, Model Deployment, Applied Machine Learning, Javascript, Data Processing, Real Time Data, Web Applications, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of London

    The Data Science Profession – Student View

    Skills you'll gain: Data Literacy, Unsupervised Learning, Data Science, Applied Machine Learning, Data Analysis, Machine Learning, Big Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    82 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Introducción a la inteligencia artificial contemporánea

    Skills you'll gain: Artificial Intelligence, Image Analysis, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Data Ethics, Supervised Learning, Deep Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    317 reviews

    Beginner · Course · 1 - 3 Months

  • A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    481 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pontificia Universidad Católica de Chile

    Introducción a los modelos de demanda de transporte

    Skills you'll gain: Data Collection, Transportation Operations, Surveys, Quantitative Research, Mathematical Modeling, Predictive Modeling, Statistical Methods, Regression Analysis, Model Evaluation, Logistic Regression, Spatial Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    466 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • M

    Microsoft

    Computer Vision in Microsoft Azure

    Skills you'll gain: Image Analysis, Computer Vision, Artificial Intelligence, Microsoft Azure, Data Capture, Model Deployment, Text Mining, Application Programming Interface (API), Classification Algorithms, Document Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    130 reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    American Psychological Association

    Methods for Quantitative Research in Psychology

    Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Surveys, Research, Research and Design, Qualitative Research, Correlation Analysis, Data Collection, Data Analysis, Psychology, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    186 reviews

    Beginner · Course · 1 - 3 Months

1…919293…241

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

  • Market Risk Management: Frameworks & Strategies: New York Institute of Finance
  • Data Science for Business Innovation: 28DIGITAL
  • Browser-based Models with TensorFlow.js: DeepLearning.AI
  • Deep Learning for Computer Vision: MathWorks
  • The Data Science Profession – Student View: University of London
  • Introducción a la inteligencia artificial contemporánea: Universidad de los Andes
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Introducción a los modelos de demanda de transporte: Pontificia Universidad Católica de Chile
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College

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