Supervised Learning

Supervised learning is a type of machine learning where an algorithm learns from labeled training data, and makes predictions based on that data. Coursera's supervised learning catalogue teaches you to construct predictive models, understand the principles of machine learning algorithms, and apply them to real-world problems. You'll learn about various supervised learning techniques such as linear regression, K-nearest neighbors, support vector machines and decision trees. Additionally, you'll gain insights into concepts like overfitting, underfitting, bias-variance tradeoffs, and cross-validation. This knowledge will be invaluable whether you're aiming to become a data scientist, machine learning engineer, or simply want to understand the technology driving today's artificial intelligence advancements.
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5online degrees
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Explore the Supervised Learning Course Catalog

  • Status: New
    Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, Data Manipulation, Verification And Validation, Pandas (Python Package), Histogram

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Predictive Modeling, Decision Tree Learning, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Python Programming, Classification And Regression Tree (CART), Data Science, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Feature Engineering

  • Status: Preview

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

  • Status: Free Trial

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Data Cleansing, Deep Learning, Statistical Analysis, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

  • Status: New
    Status: Preview

    Skills you'll gain: Prompt Engineering, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Fraud detection, Supervised Learning, Applied Machine Learning, Deep Learning, Small Data, Machine Learning, Computer Vision, Natural Language Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

  • Status: Free Trial

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Matplotlib, Linear Algebra, Image Analysis, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Supervised Learning, Python Programming, Artificial Intelligence, Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Supervised Learning, Data-Driven Decision-Making

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