Machine Learning Methods

Machine Learning Methods are a collection of algorithms and statistical models that systems utilize to perform tasks effectively without explicit instructions, relying on patterns and inference. Coursera's Machine Learning Methods catalogue equips you with the skills to design, implement, and apply these methods in various fields. You'll learn about supervised, unsupervised, and reinforcement learning paradigms, as well as deep learning and neural networks. Gaining a deeper understanding of key machine learning algorithms, you will be prepared to create predictive models, machine learning pipelines, and AI-driven systems for diverse applications ranging from healthcare to finance.
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Results for "machine learning methods"

  • Status: Free Trial

    Alberta Machine Intelligence Institute

    Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Machine Learning Methods, Test Data, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

  • Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Applied Machine Learning, Data Processing, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Performance Analysis, Machine Learning, Real Estate, Regression Analysis, Python Programming

  • Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering, Python Programming

  • Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Presentation, Machine Learning

  • 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)

  • Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

  • Status: Preview

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Computer Vision, Machine Learning Methods, Generative AI, Natural Language Processing, Scalability, Reinforcement Learning, Network Architecture, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Anomaly Detection, Intrusion Detection and Prevention, Malware Protection, Continuous Monitoring, Threat Detection, Network Analysis, Cybersecurity, System Design and Implementation, Network Security, Machine Learning Software, Machine Learning Methods, Performance Testing, Machine Learning Algorithms, Machine Learning, Supervised Learning, Microsoft Windows

  • Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Data Processing, Python Programming

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Deep Learning, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Image Analysis, Graph Theory, Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Health Informatics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Data Synthesis, Python Programming

  • Status: Free Trial

    Skills you'll gain: Deep Learning, Electocardiography, Machine Learning Methods, Artificial Neural Networks, Data Processing, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling

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