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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Find the best Machine Learning course for your goals

  • Status: New

    Skills you'll gain: .NET Framework, Machine Learning, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), Development Environment, Microsoft Development Tools, Image Analysis, Responsible AI, Computer Vision, Natural Language Processing

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

  • Status: Preview

    Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning, Natural Language Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

  • Status: Free Trial

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

  • Status: Preview

    Skills you'll gain: Tensorflow, Generative AI, Keras (Neural Network Library), Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Transformation, Responsible AI, Business Intelligence, Data Quality, Machine Learning, Natural Language Processing, Applied Machine Learning, Cloud API, Data Analysis

  • Skills you'll gain: Google Cloud Platform, Database Administration, Query Languages, Database Management Systems, Generative AI, Data Store, Machine Learning

  • Status: Preview

    University of Washington

    Skills you'll gain: Regression Analysis, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Feature Engineering, Python Programming, Linear Algebra, NumPy, Algorithms

  • Status: Free Trial

    Skills you'll gain: Data-Driven Decision-Making, Artificial Intelligence, Customer Analysis, AI Product Strategy, Business Intelligence, Classification And Regression Tree (CART), Image Analysis, Machine Learning, Decision Tree Learning, Virtual Environment, Applied Machine Learning, Big Data, Natural Language Processing

  • Skills you'll gain: Google Cloud Platform, Digital Transformation, Responsible AI, Business Transformation, Artificial Intelligence, Data Quality, Business Intelligence, Analytics, Machine Learning, Applied Machine Learning, Cloud API

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  • This role has a $169,700 median salary ¹.

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    A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.

    This role has a $169,700 median salary ¹.

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