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    Results for "introduction to machine learning"

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, IBM Cloud, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Cloud Applications, Tensorflow, Machine Learning, Deep Learning, Artificial Intelligence, Visualization (Computer Graphics), Data Processing, Application Deployment, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Calculus, Applied Mathematics, Advanced Mathematics, Numerical Analysis, Mathematical Modeling, Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Visualization (Computer Graphics), Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      877 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Computer Vision, Machine Learning, Linear Algebra, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      Sungkyunkwan University

      Machine Learning Basics

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Analysis, Predictive Modeling, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Reinforcement Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      85 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Keras (Neural Network Library), Feature Engineering, Generative AI, Supervised Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, Applied Machine Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Artificial Neural Networks, Jupyter, Machine Learning Algorithms, Python Programming, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning, Anomaly Detection, Reinforcement Learning, Machine Learning Algorithms, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Tensorflow, Supervised Learning, Artificial Neural Networks, Predictive Modeling, Algorithms

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Financial Accounting

      Skills you'll gain: Accrual Accounting, Financial Reporting, Financial Accounting, Financial Statements, Financial Statement Analysis, Cash Flows, Balance Sheet, Accounting, Financial Analysis, Generally Accepted Accounting Principles (GAAP), Bookkeeping, Income Statement, Revenue Recognition

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, MLOps (Machine Learning Operations), Version Control, Data Quality, Data Cleansing, Data Security, Application Frameworks, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      152 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Bayesian Statistics, Probability Distribution, Probability & Statistics, Sampling (Statistics), Probability, A/B Testing, Statistics, Data Science, Statistical Analysis, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      589 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Generative AI, Software Development Life Cycle, Software Architecture, ChatGPT, Web Development Tools, Flask (Web Framework), Responsive Web Design, Development Environment, Generative AI Agents, Software Design, Large Language Modeling, Software Engineering, Web Applications, Software Development Methodologies, Jupyter, Professional Networking, Python Programming, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Feature Engineering, Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Science, Artificial Intelligence, Statistical Analysis, Data Transformation, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Machine Learning Algorithms, Dimensionality Reduction, Python Programming, Machine Learning, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Introduction to Computer Vision and Image Processing: IBM
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Neural Networks and Deep Learning: DeepLearning.AI
    • Machine Learning Basics: Sungkyunkwan University
    • IBM AI Engineering: IBM
    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • Introduction to Financial Accounting: University of Pennsylvania
    • Foundations of AI and Machine Learning: Microsoft
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • IBM AI Developer: IBM

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