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"

  • Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Linear Algebra, Semantic Web, Classification And Regression Tree (CART), Machine Learning Algorithms, Statistical Methods, Bayesian Statistics, Scientific Visualization, Unstructured Data, Scikit Learn (Machine Learning Library)

  • Status: Free Trial

    Skills you'll gain: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART)

  • Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Data Manipulation, Applied Machine Learning, Statistical Machine Learning, Decision Tree Learning, Machine Learning Methods, Supervised Learning, Predictive Modeling, Machine Learning, Predictive Analytics

  • Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Deep Learning

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

  • Skills you'll gain: Data Import/Export, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Machine Learning, Predictive Analytics, Time Series Analysis and Forecasting

  • Status: Free Trial

    Skills you'll gain: Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Scatter Plots, Dimensionality Reduction, Classification And Regression Tree (CART), Data Analysis, Histogram, Data Processing, Computer Vision, Regression Analysis, Digital Communications

  • Status: Free Trial

    Skills you'll gain: Machine Learning Methods, Machine Learning Software, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Statistical Machine Learning, Reinforcement Learning, Artificial Neural Networks, Automation, Algorithms

  • Status: Free Trial

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Python Programming, Text Mining, Machine Learning Methods

  • Status: Preview

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

  • Status: Free

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Reinforcement Learning, Machine Learning Methods

  • Status: Free Trial

    Skills you'll gain: Artificial Intelligence, Python Programming, Machine Learning Methods