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    • Machine Learning

    Machine Learning Courses Online

    Develop expertise in algorithms, model training, and predictive analytics. Explore hands-on courses in neural networks, natural language processing, and advanced machine learning techniques.

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    Explore the Machine Learning Course Catalog

    • D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Deep Learning, Machine Learning Software, Artificial Neural Networks, Human Learning, Python Programming, Regression, Statistical Machine Learning, Mathematics, Tensorflow, Decision Making, Critical Thinking, Network Model, Reinforcement Learning

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28K reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Washington

      Machine Learning

      Skills you'll gain: Machine Learning, Algorithms, Machine Learning Algorithms, Human Learning, Applied Machine Learning, Statistical Machine Learning, Python Programming, Probability & Statistics, Regression, Data Analysis, Machine Learning Software, Mathematics, Exploratory Data Analysis, Computer Programming, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Machine Learning with Python

      Skills you'll gain: Machine Learning, Algorithms, Data Analysis, Human Learning, Python Programming, Regression

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      IBM Machine Learning

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Human Learning, Statistical Machine Learning, Data Analysis, Probability & Statistics, Applied Machine Learning, Algorithms, Forecasting, Statistical Analysis, Deep Learning, General Statistics, Python Programming, Regression, Machine Learning Software, Artificial Neural Networks, Exploratory Data Analysis, Feature Engineering, Correlation And Dependence, Dimensionality Reduction, Statistical Tests, Reinforcement Learning, Databases, Interactive Data Visualization, Network Model

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Machine Learning, Calculus, Differential Equations, Mathematics, Machine Learning Algorithms, Regression, Algebra, Algorithms, Artificial Neural Networks, General Statistics, Linear Algebra, Probability & Statistics, Statistical Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Regression, Applied Machine Learning, Algorithms, Statistical Machine Learning, Mathematics, Critical Thinking, Machine Learning Software, Python Programming

      4.9
      Rating, 4.9 out of 5 stars
      ·
      24K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Algebra, Linear Algebra, Mathematics, Machine Learning, Mathematical Theory & Analysis, Computer Programming, Python Programming, Machine Learning Algorithms, Calculus, Algorithms, Differential Equations, Applied Mathematics, Problem Solving, Statistical Analysis, Data Visualization, Dimensionality Reduction, Computer Programming Tools, Regression

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

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Machine Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning Software, Network Model, Algorithms, Computer Programming, Computer Vision, Network Architecture, Natural Language Processing, Tensorflow, Human Learning, Data Analysis, Organizational Development, Process Analysis, Strategy, Mathematics, Mathematical Theory & Analysis, Linear Algebra, Regression, Calculus

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      144K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: Artificial Neural Networks, Machine Learning, Natural Language Processing, Python Programming, Regression

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      U

      University of London

      Machine Learning for All

      Skills you'll gain: Algorithms, Artificial Neural Networks, Deep Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Critical Thinking, Data Analysis, Decision Making, Training

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Algorithms, Statistical Machine Learning, Human Learning, Probability & Statistics, Applied Machine Learning, Data Analysis, Regression, General Statistics, Python Programming, Feature Engineering, Machine Learning Software, Exploratory Data Analysis, Dimensionality Reduction, Statistical Analysis, Statistical Tests, Databases, Interactive Data Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: Applied Machine Learning, Big Data, Cloud Computing, Computer Programming, DevOps, Machine Learning, Machine Learning Software, Microsoft Azure, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      327 reviews

      Advanced · Specialization · 3 - 6 Months

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    1234…49

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

    • Machine Learning: DeepLearning.AI
    • Machine Learning: University of Washington
    • Machine Learning with Python: IBM
    • IBM Machine Learning: IBM
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Mathematics for Machine Learning: Imperial College London
    • Deep Learning: DeepLearning.AI
    • Introduction to Machine Learning: Duke University
    • Machine Learning for All: University of London

    Frequently Asked Questions about Machine Learning

    Machine learning courses cover a wide range of topics essential for understanding and building machine learning models. These include the basics of supervised learning and unsupervised learning, data preprocessing, and model evaluation. Learners will also explore algorithms such as linear regression, decision trees, support vector machines, and neural networks. Advanced topics might include deep learning, natural language processing, reinforcement learning, and the use of frameworks like TensorFlow and PyTorch. Practical projects and case studies help learners apply these concepts to real-world scenarios.‎

    Choosing the right machine learning course depends on your current knowledge level and career aspirations. Beginners should look for courses that introduce the fundamentals of machine learning, including basic algorithms and data preprocessing techniques. Those with some experience might benefit from intermediate courses focusing on specific algorithms, model optimization, and real-world applications. Advanced learners or professionals seeking specialized knowledge might consider courses on deep learning, reinforcement learning, or advanced machine learning frameworks. Reviewing course content, instructor expertise, and learner feedback can help ensure the course aligns with your career goals.‎

    A certificate in machine learning can open up various career opportunities in the tech industry and beyond. Common roles include machine learning engineer, data scientist, AI specialist, and research scientist. These positions involve developing and deploying machine learning models, analyzing data, and creating AI-driven solutions. With the increasing importance of AI and machine learning across industries such as healthcare, finance, technology, and automotive, earning a machine learning certificate can significantly enhance your career prospects and opportunities for advancement.‎

    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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