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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


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    DeepLearning.AI

    AI for Medical Diagnosis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Deep Learning, Natural Language Processing, Medical Science and Research, Machine Learning, Magnetic Resonance Imaging, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    26 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
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    301 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    328 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
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    799 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
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    National Taiwan University

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

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow

    3.7
    Rating, 3.7 out of 5 stars
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    819 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • AI for Medical Diagnosis: DeepLearning.AI
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • IBM Introduction to Machine Learning: IBM
  • Explainable Machine Learning (XAI): Duke University
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Machine Learning Introduction for Everyone: IBM
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Machine Learning for Data Analysis: Wesleyan University
  • AI for Medical Prognosis : DeepLearning.AI
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute

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