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.
10credentials
2online degrees
43courses

Results for "statistical machine learning"

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Data Science, R Programming, Probability & Statistics, Supervised Learning, Machine Learning, Applied Machine Learning

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Linear Algebra, Semantic Web, Classification And Regression Tree (CART), Machine Learning Algorithms, Statistical Machine Learning, Statistical Methods, Predictive Modeling, Bayesian Statistics, Scientific Visualization

  • Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Statistical Machine Learning, Machine Learning, Embedded Systems, Embedded Software, Machine Learning Algorithms, Distributed Computing, Deep Learning, Image Analysis, Software Design, Hardware Design, Computer Vision, Electrical and Computer Engineering, Engineering Analysis, Student Support and Services, Student Services, Text Mining, Digital Communications, Electrical Engineering

  • University of Colorado Boulder

    Skills you'll gain: Data Mining, Statistical Modeling, Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Anomaly Detection, Probability, Statistical Inference, Service Level, Performance Testing, Statistical Hypothesis Testing, Dimensionality Reduction, Statistical Machine Learning, Data Warehousing, Software Engineering, Data Science, Bash (Scripting Language), Statistical Methods

  • Status: Free Trial

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)

  • Status: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, SPSS, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Mining, Data Cleansing, Data Analysis, Data Manipulation, Statistical Methods

  • Skills you'll gain: Data Ethics, Data Storytelling, Statistical Machine Learning, Data Presentation, Regression Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Data Analysis, Statistical Visualization, Data Literacy, Classification And Regression Tree (CART), Network Analysis, Data Visualization, Statistical Methods, Box Plots, Statistical Modeling, Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)

  • Pontificia Universidad Católica de Chile

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, Statistical Analysis, Data Analysis, Machine Learning Algorithms, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Methods, Statistical Machine Learning, Statistical Reporting, Data Cleansing, Forecasting, Analytics, Regression Analysis, R Programming, Statistical Modeling, Statistical Software, Data Science, Supervised Learning, Machine Learning

  • Skills you'll gain: Social Network Analysis, Network Analysis, Data Storytelling, Data Visualization, Data Presentation, Predictive Modeling, Marketing Analytics, Portfolio Management, Financial Data, Predictive Analytics, Dashboard, Advertising, Time Series Analysis and Forecasting, Forecasting, Random Forest Algorithm, Data Cleansing, Operations Research, Statistical Machine Learning, Natural Language Processing, Mathematical Modeling

  • Status: Preview

    Sungkyunkwan University

    Skills you'll gain: Data Processing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Predictive Modeling, Decision Tree Learning, Random Forest Algorithm, Asset Management