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.

Filter by

Skip to search results

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
Complete graduate-level learning without committing to a full degree program.
Earn a university-issued career credential in a flexible, interactive format.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Hands-on Learning
Required

Tools
Required

Results for "Statistical Machine Learning"

  • Google

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    4.8 stars, 646 reviews, Advanced, Course, 1 - 3 Months

  • Coursera

    Skills you'll gain: Data Preprocessing, Supervised Learning, Model Optimization, Feature Engineering, Pandas (Python Package), Data Wrangling, Exploratory Data Analysis, Data Quality, Model Training, Applied Machine Learning, Data Processing, Data Manipulation, Statistical Machine Learning, Data Transformation, Classification And Regression Tree (CART), Data Cleansing, Data Pipelines, Machine Learning, Data Modeling, Data Architecture

    Intermediate · Specialization · 3 - 6 Months

  • Board Infinity

    Skills you'll gain: Anomaly Detection, Feature Engineering, Fraud detection, Unsupervised Learning, Continuous Monitoring, Autoencoders, MLOps (Machine Learning Operations), Machine Learning Methods, Statistical Machine Learning, Model Training, Time Series Analysis and Forecasting, System Monitoring, Applied Machine Learning, Model Deployment, Statistical Analysis, Taxonomy

    Beginner · Course · 1 - 4 Weeks

  • DeepLearning.AI

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots

    4.6 stars, 699 reviews, Intermediate, Course, 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • Dartmouth College

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, 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, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • University of Colorado Boulder

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Data Science, Decision Tree Learning, Statistical Methods, Classification And Regression Tree (CART), Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Machine Learning Methods, Classification Algorithms, Supervised Learning, R Programming, Statistical Inference, Machine Learning Algorithms, Dimensionality Reduction

    4 stars, 24 reviews, Intermediate, Specialization, 3 - 6 Months

  • University of Colorado Boulder

    Skills you'll gain: Reinforcement Learning, Deep Learning, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Responsible AI, Computational Logic, Machine Learning Algorithms, AI Workflows, Agentic systems, Decision Intelligence, Statistical Machine Learning, Artificial Neural Networks, Model Optimization, Theoretical Computer Science, Model Evaluation, Sampling (Statistics), Algorithms, Applied Mathematics

    Intermediate · Specialization · 3 - 6 Months

  • University of Pennsylvania

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning, Agentic systems, Artificial Intelligence, Model Optimization, Algorithms, AI literacy

    4.5 stars, 60 reviews, Intermediate, Specialization, 3 - 6 Months

  • EDHEC Business School

    Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Portfolio Risk, Applied Machine Learning, Asset Management, Network Analysis, Investments, Data Visualization Software, Machine Learning Methods, Return On Investment, Statistical Machine Learning, Financial Statement Analysis, Financial Data, Market Data, Financial Management, Unstructured Data, Predictive Modeling, Web Scraping, Risk Management

    4.6 stars, 1.8K reviews, Beginner, Specialization, 3 - 6 Months

  • University of Washington

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Statistical Modeling, Data Mining

    4.6 stars, 16K reviews, Intermediate, Specialization, 3 - 6 Months

  • University of Pennsylvania

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization

    5 stars, 6 reviews, Intermediate, Course, 1 - 4 Weeks