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  • Machine Learning Andrew Ng

Machine Learning Andrew Ng Courses

Machine learning courses can help you learn algorithms, data preprocessing, model evaluation, and neural networks. You can build skills in regression analysis, classification techniques, and clustering methods. Many courses introduce tools like Python, TensorFlow, and Scikit-learn, showing how these technologies are used to implement machine learning solutions in real-world applications.

Popular Machine Learning Andrew Ng Courses and Certifications


  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Mathematical Modeling, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    956 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Deep Teaching Solutions

    学会如何学习:帮助你掌握复杂学科的强大智力工具(Learning How to Learn)

    Skills you'll gain: Lifelong Learning, Learning Strategies, Collaboration, Productivity, Human Learning, Learning Theory, Mental Concentration, Open Mindset, Time Management, Interactive Learning, Creativity, Growth Mindedness, Cognitive flexibility, Self-Awareness, Habit Formation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.7K reviews

    Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Market Data, Data Preprocessing, Deep Learning, Python Programming, Feature Engineering, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Performance Metric

    3.9
    Rating, 3.9 out of 5 stars
    ·
    379 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Debugging, Programming Principles, Program Development, Computer Programming, Python Programming, Computational Thinking, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    233K reviews

    Beginner · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Willingness To Learn, Learning Theory, Productivity, Quick Learning, Growth Mindedness, Mental Concentration, Creativity, Cognitive flexibility, Habit Formation, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93K reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    299 reviews

    Intermediate · Course · 1 - 3 Months

  • N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Mathematical Theory & Analysis, Probability, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Georgia Institute of Technology

    Machine Design Part I

    Skills you'll gain: Failure Analysis, Mechanical Design, Mechanical Engineering, Structural Engineering, Structural Analysis, Engineering, Materials science, Engineering Analysis, Mechanics, Engineering Calculations, Biomedical Engineering, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Model Optimization, Scikit Learn (Machine Learning Library), Model Training, Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Unstructured Data, Feature Engineering, Jupyter, Regression Analysis, Data Preprocessing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    AI for Medical Diagnosis

    Skills you'll gain: Model Evaluation, Patient Evaluation, Data Preprocessing, Diagnostic Tests, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Predictive Analytics, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Radiology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 4 Weeks

1…789…773

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

  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • 学会如何学习:帮助你掌握复杂学科的强大智力工具(Learning How to Learn): Deep Teaching Solutions
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Programming for Everybody (Getting Started with Python): University of Michigan
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions
  • Deep Learning and Reinforcement Learning: IBM
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Machine Design Part I: Georgia Institute of Technology

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