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    Results for "introduction to machine learning"

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      861 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Sungkyunkwan University

      Machine Learning Basics

      Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      76 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, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      126 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Introduction to Thermodynamics: Transferring Energy from Here to There

      Skills you'll gain: Mechanical Engineering, Thermal Management, HVAC, Engineering, Energy and Utilities, Physics, Engineering Analysis, Plant Operations and Management, Process Analysis, Environmental Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Network Architecture, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Decision Tree Learning, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Amsterdam

      Introduction to Communication Science

      Skills you'll gain: Culture, Interpersonal Communications, Media and Communications, Liberal Arts, Social Studies, Research, Ancient History, Anthropology, European History, Qualitative Research, Research Methodologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K 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), Supervised Learning, Feature Engineering, Generative AI, Reinforcement Learning, Deep Learning, Natural Language Processing, Generative AI Agents, Applied Machine Learning, Image Analysis, Data Manipulation, Tensorflow, OpenAI, Verification And Validation, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDHEC Business School

      Investment Management with Python and Machine Learning

      Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Asset Management, Network Analysis, Data Visualization Software, Machine Learning Methods, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Machine Learning, Advanced Analytics, Financial Statements, Applied Machine Learning, Financial Market, Financial Analysis, Financial Modeling, Return On Investment, Risk Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Reinforcement Learning, Deep Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Scientific Visualization, Natural Language Processing, Time Series Analysis and Forecasting, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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    1…567…834

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

    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Machine Learning Basics: Sungkyunkwan University
    • Foundations of AI and Machine Learning: Microsoft
    • Introduction to Thermodynamics: Transferring Energy from Here to There: University of Michigan
    • Introduction to Deep Learning & Neural Networks with Keras: IBM
    • Practical Machine Learning: Johns Hopkins University
    • Introduction to Communication Science: University of Amsterdam
    • IBM AI Engineering: IBM
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Investment Management with Python and Machine Learning: EDHEC Business School

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