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    Results for "introduction to machine learning"

    • A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Image Analysis, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      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
      ·
      98 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging

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

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Analysis Software, Data Cleansing, GitHub, Business Analysis, Cloud Computing, Data Analysis, Digital Transformation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      98K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Introduction to Generative AI Learning Path

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Data Ethics, Google Cloud Platform, Business Ethics, Application Development, Artificial Intelligence, Accountability, Regulatory Compliance, Compliance Training, Ethical Standards And Conduct, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Governance, Organizational Effectiveness, Machine Learning, Machine Learning Methods, Decision Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • 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
      ·
      840 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Graphing, Javascript, Computer Networking, Computational Thinking, Program Development, Arithmetic, Computer Graphics, Operating Systems, Computer Hardware, Applied Mathematics, Mathematical Modeling, Cybersecurity, Computer Programming, Problem Management, General Mathematics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to introduction to machine learning

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    1…567…834

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

    • Introduction to Machine Learning with Python: Arizona State University
    • Introduction to Machine Learning in Sports Analytics: University of Michigan
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Foundations of AI and Machine Learning: Microsoft
    • Reinforcement Learning: University of Alberta
    • AI For Everyone: DeepLearning.AI
    • Advanced Learning Algorithms: DeepLearning.AI
    • Introduction to Data Science: IBM
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Introduction to Generative AI Learning Path: Google Cloud

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