Statistical Machine Learning

Statistical Machine Learning is a subset of artificial intelligence that leverages statistical techniques to enable machines to improve at tasks. Coursera's Statistical Machine Learning catalogue equips you with the ability to develop and apply predictive algorithms based on statistical concepts. You'll learn to build models, interpret results, and make predictions using machine learning techniques. Further, you'll gain an understanding of various statistical learning methods such as regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. This skill set can be used in various fields like data science, finance and banking, healthcare, retail, and more where predictive analysis is crucial.
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3online degrees
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Results for "statistical machine learning"

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, Statistics, A/B Testing, Statistical Modeling

  • Skills you'll gain: Unsupervised Learning, Data Visualization, Machine Learning Algorithms, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Statistical Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Matplotlib, Algorithms, NumPy, Python Programming, Development Environment

  • Status: Preview

    Skills you'll gain: Extensible Markup Language (XML), Natural Language Processing, Language Interpretation, Translation, and Studies, Multilingualism, Unstructured Data, Data Analysis Software, Data Quality, Machine Learning Methods, Statistical Machine Learning

  • Skills you'll gain: Analytics, Statistical Machine Learning, Advanced Analytics, Google Cloud Platform, Big Data, Applied Machine Learning, Data Analysis, Predictive Modeling

  • Status: Free

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)

  • Status: Preview

    Skills you'll gain: Predictive Analytics, Predictive Modeling, Risk Modeling, R Programming, Advanced Analytics, Preventative Care, Health Informatics, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Statistical Machine Learning, Data Validation

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Data Visualization, Matplotlib, Exploratory Data Analysis, Supervised Learning, Dimensionality Reduction, Predictive Modeling, Data Science, Descriptive Analytics, Visualization (Computer Graphics), Pandas (Python Package), Data-Driven Decision-Making, Time Series Analysis and Forecasting, Machine Learning Algorithms, Data Integration, Statistical Machine Learning, Data Visualization Software, Statistical Visualization

  • Status: Preview

    University of Illinois Urbana-Champaign

    Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Exploratory Data Analysis, Regression Analysis, Data Processing