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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


  • P

    Packt

    ENARSI (300-410) v1.1 Video Training Series

    Skills you'll gain: Routing Protocols, Network Monitoring, Network Performance Management, Virtual Private Networks (VPN), Network Routing, Network Troubleshooting, Network Security, Border Gateway Protocol, TCP/IP, Network Protocols, Multiprotocol Label Switching, Network Infrastructure, Wide Area Networks, Virtual Networking, Authentications, Debugging

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Azure Practical - App Services

    Skills you'll gain: Cloud Applications, Cloud Deployment, Event-Driven Programming, Virtual Networking, Restful API, Cloud Infrastructure, Authentications, Application Programming Interface (API), Serverless Computing, Web Services, Virtual Machines, Authorization (Computing), Microsoft SQL Servers, Network Routing, Load Balancing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Installation et Configuration Python avec Visual Studio Code

    Skills you'll gain: Microsoft Visual Studio, Python Programming, Software Installation, Computer Programming, Development Environment, Integrated Development Environments, System Configuration

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Series, Trigonometry, and Probability

    Skills you'll gain: Trigonometry, Probability, Data Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Statistics, Geometry, Arithmetic

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Provisioning an Apigee X Evaluation Organization

    Skills you'll gain: Cloud API, Application Programming Interface (API), Google Cloud Platform, Virtual Machines, User Provisioning, Proxy Servers, Virtual Networking

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    JavaScript Fundamentals & The DOM

    Skills you'll gain: Javascript, JSON, Event-Driven Programming, Web Development, Programming Principles, Web Applications, Data Structures, Application Deployment, Application Development, Debugging

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Running Windows Containers on Compute Engine

    Skills you'll gain: Containerization, Docker (Software), Cloud Infrastructure, Microsoft SQL Servers, Cloud Computing, Remote Access Systems, Windows Servers, Virtual Machines, Microsoft Windows

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    New York University

    MOST from a Methodological Perspective

    Skills you'll gain: Clinical Trials, Experimentation, Sample Size Determination, Research Design, Continuous Quality Improvement (CQI), Program Evaluation, Research Methodologies, Statistical Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Learn React Hooks: Build a Tic Tac Toe Game

    Skills you'll gain: React.js, Web Components, UI Components, User Interface (UI), Game Design, Web Development

    Intermediate · Course · 1 - 4 Weeks

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

  • ENARSI (300-410) v1.1 Video Training Series: Packt
  • Azure Practical - App Services: EDUCBA
  • Installation et Configuration Python avec Visual Studio Code: Coursera
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
  • Honors Algebra 2: Series, Trigonometry, and Probability: Johns Hopkins University
  • Provisioning an Apigee X Evaluation Organization: Google Cloud
  • JavaScript Fundamentals & The DOM: Packt
  • Running Windows Containers on Compute Engine: Google Cloud
  • Statistical Learning for Engineering Part 1: Northeastern University

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