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  • Statistical Classification

Results for "statistical classification"


  • U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Designing, Running, and Analyzing Experiments

    Skills you'll gain: Statistical Analysis, Experimentation, Usability Testing, Statistical Hypothesis Testing, Data Analysis, Statistical Methods, UI/UX Research, R Programming, User Experience, Human Computer Interaction, Statistics, Data Validation, Statistical Modeling, Regression Analysis, Logistic Regression

    3.6
    Rating, 3.6 out of 5 stars
    ·
    596 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Apply AI Techniques & Prescriptives

    Skills you'll gain: Operations Research, Strategic Thinking, Strategic Decision-Making, Business Strategy, AI Enablement, Business Analytics, Operational Analysis, Advanced Analytics, Analytics, Process Optimization, Applied Machine Learning, Process Improvement and Optimization, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Statistical Modeling, Decision Making, Resource Allocation, Performance Analysis, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Integrate and Optimize AI Services Seamlessly

    Skills you'll gain: Cloud Deployment, Continuous Deployment, System Monitoring, API Testing, Restful API, Site Reliability Engineering, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Amsterdam

    Quantitative Methods

    Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • E

    EDUCBA

    Develop a C# .NET Color Weigh Scale Application

    Skills you'll gain: Database Design, Relational Databases, Database Management, Database Application, C# (Programming Language), SQL, Business Logic, Software Development Life Cycle, Data Management, Systems Development, Application Development, Application Design, User Interface (UI), Data Validation, Test Case

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Modern Graph Theory Algorithms with Python

    Skills you'll gain: Graph Theory, Network Analysis, Social Network Analysis, NoSQL, Data Science, Query Languages, Visualization (Computer Graphics), Applied Machine Learning, Data Transformation, Big Data, Python Programming, Spatial Data Analysis, Advanced Analytics, Deep Learning, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Simulations

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, Data Lakes, AI Enablement, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • W

    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    Accounting Analytics

    Skills you'll gain: Financial Statement Analysis, Financial Analysis, Financial Data, Financial Accounting, Process Optimization, Analytics, Corporate Strategy, Accounting, Financial Forecasting, Business Metrics, Operational Analysis, Advanced Analytics, Predictive Analytics, Fraud detection, Key Performance Indicators (KPIs), Return On Investment, Finance, Predictive Modeling, Anomaly Detection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3K reviews

    Mixed · Course · 1 - 4 Weeks

1…565758…241

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

  • Reinforcement Learning: University of Alberta
  • ML Concepts, Models & Workflow Essentials: Coursera
  • Designing, Running, and Analyzing Experiments: University of California San Diego
  • Apply AI Techniques & Prescriptives: Coursera
  • Integrate and Optimize AI Services Seamlessly: Coursera
  • Quantitative Methods: University of Amsterdam
  • Develop a C# .NET Color Weigh Scale Application: EDUCBA
  • Modern Graph Theory Algorithms with Python: Packt
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Probabilistic Graphical Models: Stanford University

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