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

    Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra

  • Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Forecasting, Data Processing, Machine Learning

  • Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Predictive Modeling, Data Validation, Responsible AI, Google Cloud Platform, System Monitoring, Machine Learning Methods

  • Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Machine Learning Methods, Systems Architecture, Performance Tuning, Distributed Computing, Applied Machine Learning, Scalability, Data Pipelines, Data Processing

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Software Development, Machine Learning Methods, Image Analysis, Linear Algebra, Machine Learning, Data Structures, Performance Tuning, Data Transformation, Algorithms, Data Science

  • Status: Free Trial

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Tensorflow, Image Analysis, Computer Vision, Machine Learning Methods, Natural Language Processing, Artificial Intelligence, Python Programming

  • Status: Free Trial

    Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Project Design, Predictive Modeling, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management

  • Skills you'll gain: Big Data, Data Analysis, Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Statistical Inference, Machine Learning Methods, Machine Learning Algorithms

  • Skills you'll gain: Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Methods, Predictive Modeling, System Monitoring, Data Quality

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, Machine Learning, Machine Learning Methods, Artificial Neural Networks, Algorithms, Information Privacy, Decision Support Systems, Data Integrity

  • Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Image Analysis, Computer Vision, Data Processing

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