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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • Status: Preview
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    U

    University of Leeds

    Training and Learning Online

    Skills you'll gain: Critical Thinking, Collaboration, Learning Strategies, Personal Development, digital literacy, Communication, Self-Awareness, Technical Communication, Digital Communications

    4.7
    Rating, 4.7 out of 5 stars
    ·
    145 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management

    3.5
    Rating, 3.5 out of 5 stars
    ·
    246 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Intel

    Leader of Learning Experiences

    Skills you'll gain: Innovation, Lesson Planning, Education Software and Technology, Digital pedagogy, Learning Management Systems, Instructional Strategies, Pedagogy, Telecommuting, Teamwork, Collaboration, Student-Centred Learning, Student Engagement, Community Development, Instructional Design, Classroom Management, Learning Strategies, Virtual Environment, Creative Thinking, digital literacy, Artificial Intelligence

    Beginner · Specialization · 1 - 3 Months

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    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    389 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    719 reviews

    Intermediate · Specialization · 3 - 6 Months

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    T

    The University of Edinburgh

    Philosophy and the Sciences: Introduction to the Philosophy of Physical Sciences

    Skills you'll gain: Research, Science and Research, General Science and Research, Scientific Methods, Physical Science, Physics, Research Methodologies

    4.7
    Rating, 4.7 out of 5 stars
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    956 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Gemini for Google Workspace - 日本語版

    Skills you'll gain: Google Gemini, Responsible AI, Productivity Software, Google Workspace, Generative AI, Operational Efficiency, Process Improvement, AI Enablement, Business Process Improvement, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

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    T

    Tsinghua University

    MOOC and Blended Learning

    Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Learning Management Systems, Student-Centred Learning, Emerging Technologies, Innovation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    303 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University at Buffalo

    Introduction to the Nonprofit Sector, Nonprofit Organizations, Nonprofit Leadership and Governance

    Skills you'll gain: Peer Review, Governance, Leadership and Management, Discussion Facilitation, Philanthropy, Public Administration, Organizational Effectiveness, Performance Review, Organizational Leadership, Community Development, Organizational Structure, Leadership, Case Studies, Analysis, Decision Making

    4.4
    Rating, 4.4 out of 5 stars
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    214 reviews

    Mixed · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    An Introduction to the U.S. Food System: Perspectives from Public Health

    Skills you'll gain: Nutrition and Diet, Food and Beverage, Public Health, Community Health, Social Justice, Sustainable Development, Systems Thinking, Environmental Issue, Natural Resource Management, Sustainability Standards, Health Policy, Health Promotion, Environmental Policy

    4.7
    Rating, 4.7 out of 5 stars
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    164 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Politecnico di Milano

    The Learning Innovation Network

    Skills you'll gain: Developing Training Materials, Educational Materials, Classroom Management, Course Development, Teaching, Instructional Design, Instructional Strategies, Innovation, Pedagogy, Student Engagement, Resource Utilization, Network Planning And Design

    Beginner · Course · 1 - 4 Weeks

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

  • Training and Learning Online: University of Leeds
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • Leader of Learning Experiences: Intel
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Philosophy and the Sciences: Introduction to the Philosophy of Physical Sciences: The University of Edinburgh
  • Introduction to Gemini for Google Workspace - 日本語版: Google Cloud
  • MOOC and Blended Learning: Tsinghua University
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Introduction to the Nonprofit Sector, Nonprofit Organizations, Nonprofit Leadership and Governance: University at Buffalo

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