Machine Learning

Machine Learning is a branch of artificial intelligence that automates analytical model building, enabling systems to learn and improve from experience without being explicitly programmed. Coursera's Machine Learning catalogue empowers you to understand, design, and apply powerful algorithms and statistical models to make predictions or decisions without human intervention. You'll learn about various forms of learning, such as supervised, unsupervised, and reinforcement learning, along with techniques such as regression, classification, clustering, and deep learning. Furthermore, you'll gain insights into the ethical and societal considerations of Machine Learning and its applications across various industries like healthcare, finance, and entertainment.

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Results for "Machine Learning"

  • Multiple educators

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning

    4.9 stars, 39K reviews, Beginner, Specialization, 1 - 3 Months

  • IBM

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Algorithms, Statistical Methods, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization, Classification Algorithms

    4.7 stars, 18K reviews, Intermediate, Course, 1 - 3 Months

  • DeepLearning.AI

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    4.9 stars, 33K reviews, Beginner, Course, 1 - 4 Weeks

  • IBM

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming

    4.6 stars, 3.7K reviews, Intermediate, Professional Certificate, 3 - 6 Months

  • Birla Institute of Technology & Science, Pilani

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Model Training, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Classification Algorithms, Decision Tree Learning, Model Optimization, Data Preprocessing, Probability & Statistics

    Intermediate · Course · 1 - 3 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

  • IBM

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6 stars, 3.4K reviews, Intermediate, Specialization, 3 - 6 Months

  • 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

  • Packt

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, PyTorch (Machine Learning Library), Responsible AI, Debugging, Model Deployment, Model Training, Model Optimization, Deep Learning, Test Tools, Applied Machine Learning, Testability, Machine Learning Methods, Machine Learning, Data Preprocessing, Verification And Validation, Python Programming, AI Security, Test Driven Development (TDD), AI Enablement

    Intermediate · Course · 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

  • DeepLearning.AI

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning

    4.6 stars, 3.3K reviews, Intermediate, Specialization, 1 - 3 Months

  • Amazon Web Services

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning, Digital Transformation

    4.6 stars, 4K reviews, Mixed, Course, 1 - 4 Weeks