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    Results for "machine learning"

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Statistical Analysis, Machine Learning Methods, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, OpenAI, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Deep Learning, Business Transformation, Artificial Neural Networks, Digital Transformation, Prompt Engineering, Automation, Machine Learning, Governance, Business Technologies, Natural Language Processing, Computer Vision, Ethical Standards And Conduct, Applied Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      29K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      Introduction to Machine Learning and Algorithmic Bias

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Governance, Data Ethics, Applied Machine Learning, Data Processing, Risk Mitigation, Algorithms, Diversity and Inclusion, Business Ethics, Data Governance, Data Collection

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Machine Learning for All

      Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      O

      O.P. Jindal Global University

      Machine Learning

      Skills you'll gain: Tensorflow, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Python Programming, NumPy, Artificial Neural Networks, Deep Learning, Image Analysis, Matplotlib, Unstructured Data, Predictive Modeling, Machine Learning, Natural Language Processing, Pandas (Python Package), Computer Vision, Feature Engineering, Text Mining, Regression Analysis, Performance Tuning

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Machine Learning Introduction for Everyone

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Software Development Life Cycle

      4.5
      Rating, 4.5 out of 5 stars
      ·
      282 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Generative AI for Data Scientists

      Skills you'll gain: Generative AI, Microsoft Copilot, Natural Language Processing, Data Quality, Anomaly Detection, Data Storytelling, Data Ethics, Data-Driven Decision-Making, Interactive Data Visualization, Data Presentation, OpenAI, Data Pipelines, Prompt Engineering, Data Cleansing, Data Visualization Software, Data Synthesis, Data Analysis, Communication, Data Validation, Large Language Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Structuring Machine Learning Projects

      Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Debugging, Artificial Intelligence, Keras (Neural Network Library), Data Quality, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Machine Learning Pipelines with Azure ML Studio

      Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Supervised Learning, Feature Engineering, Data Pipelines, Data Processing, Data Cleansing, Application Deployment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      805 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to machine learning

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    1234…204

    In summary, here are 10 of our most popular machine learning courses

    • Machine Learning: DeepLearning.AI
    • Python for Data Science, AI & Development: IBM
    • Mathematics for Machine Learning: Imperial College London
    • Introduction to Artificial Intelligence (AI): IBM
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
    • Machine Learning for All: University of London
    • Machine Learning: O.P. Jindal Global University
    • Machine Learning Introduction for Everyone: IBM
    • Generative AI for Data Scientists: Microsoft

    Frequently Asked Questions about Machine Learning

    Machine learning courses on Coursera cover a range of essential skills including:

    • Supervised learning and unsupervised learning methodologies
    • Neural networks and deep learning architectures
    • Algorithmic foundations such as regression, classification, and clustering
    • Data preprocessing, feature engineering, and data augmentation techniques
    • Model evaluation and optimization methods
    • Practical applications of machine learning in various industries
    • Implementation of machine learning algorithms using Python and libraries like TensorFlow and PyTorch‎

    Yes. You can start learning machine learning on Coursera for free in two ways:

    • Preview the first module of many machine learning courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

    If you want to keep learning, earn a certificate in machine learning, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

    No prior programming experience is required to begin beginner machine learning courses, but having some foundational knowledge in programming (especially Python) can be very beneficial. The curriculum is structured to accommodate learners at all levels:

    • Beginners can start with introductory courses that cover basic programming and data handling.
    • Intermediate learners can advance to applying machine learning algorithms on real data.
    • Advanced professionals can explore specialized areas such as deep learning, reinforcement learning, or natural language processing.‎

    Machine learning courses on Coursera offer a variety of credentialing options:

    • Professional certificates that demonstrate a more comprehensive understanding of machine learning concepts and techniques.
    • Specialized course certificates in areas such as artificial intelligence, data science, or specific technologies like TensorFlow.
    • Certifications from leading tech companies and universities that can help enhance your professional credibility and career prospects.‎

    Skills in machine learning can open doors to numerous high-demand roles in technology and research, including:

    • Machine Learning Engineer
    • Data Scientist
    • AI Research Scientist
    • Robotics Engineer
    • Quantitative Analyst in finance
    • Software Developer specializing in AI
    • Professionals in these roles utilize machine learning techniques to create innovative solutions, improve data-driven decision-making, and push the boundaries of artificial intelligence.

    Discover which machine learning role suits you best by taking our career quiz!‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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