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    • Machine Learning Andrew Ng

    Andrew Ng Machine Learning Courses Online

    Study machine learning with Andrew Ng for foundational knowledge. Learn about supervised learning, neural networks, and model evaluation.

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    Explore the Andrew Ng Machine Learning Course Catalog

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      170 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Vertex AI Search for Retail

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Serverless Computing, Real Time Data, Dashboard, Cloud Infrastructure, Identity and Access Management, Big Data, Data Visualization Software, Data Integration, Cloud Security, Performance Tuning, Applied Machine Learning, Data Security, MLOps (Machine Learning Operations), CI/CD, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Warehousing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Inglés Empresarial

      Skills you'll gain: Business Ethics, Sales Presentations, Meeting Facilitation, Graphic Design, English Language, Brainstorming, Negotiation, Purchasing, Verbal Communication Skills, Business Writing, Presentations, Product Planning, Telephone Skills, Communication, Marketing Materials, Business Communication, Business Planning, Employee Coaching, Financial Analysis, New Product Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Sample-based Learning Methods

      Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Being a Teacher

      Skills you'll gain: Pedagogy, Communication Strategies, Teaching, Instructional Strategies, Course Development, Student Engagement, Working With Children, Professional Development, Self-Awareness, Cultural Diversity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Unsupervised Learning, Artificial Intelligence, Information Privacy, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Leeds

      Fundamental Skills in Engineering Design

      Skills you'll gain: Engineering Design Process, Engineering Management, Product Lifecycle Management, Product Design, Product Development, Engineering Practices, New Product Development, Product Requirements, Conceptual Design, Safety Assurance, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      181 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Automate Cybersecurity Tasks with Python

      Skills you'll gain: Debugging, Python Programming, Cybersecurity, Cyber Security Assessment, Scripting, Programming Principles, Algorithms, Automation, Integrated Development Environments, File Management, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Learn to Program: The Fundamentals

      Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Data Structures, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Introduction to Student Assessment

      Skills you'll gain: Constructive Feedback, Teaching, Education and Training, Curriculum Planning, Student Engagement, Quality Assessment, Surveys, Instructional Strategies, Peer Review, Performance Reporting, Reliability

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Digital Product Management: Modern Fundamentals

      Skills you'll gain: New Product Development, Product Management, Innovation, Product Improvement, Customer Insights, Design and Product, Product Roadmaps, Stakeholder Communications, Customer Engagement, Agile Methodology, Data-Driven Decision-Making, Marketing Analytics, Stakeholder Management, Product Testing, Business Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.3K reviews

      Beginner · Course · 1 - 4 Weeks

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    1…242526…424

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

    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Vertex AI Search for Retail: Google Cloud
    • Inglés Empresarial: Arizona State University
    • Sample-based Learning Methods: University of Alberta
    • Foundations of Teaching for Learning: Being a Teacher: Commonwealth Education Trust
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Fundamental Skills in Engineering Design: University of Leeds
    • Automate Cybersecurity Tasks with Python: Google
    • Learn to Program: The Fundamentals: University of Toronto
    • Fundamentals of Machine Learning in Finance: New York University

    Frequently Asked Questions about Machine Learning Andrew Ng

    Advanced machine learning is a field of computer science that looks at how to improve computing power by allowing programs to learn as they run, without additional programming. It is a form of artificial intelligence. Advanced machine learning calls for sophisticated programming that includes statistical analysis and generative adversarial networks to find the best path to learning.‎

    Typical careers that use advanced machine learning are in data engineering, data science, and computer programming. These are fields where work with big data sets is expected to increase. Advanced machine learning is also widely used in algorithmic trading and finance, so people who want to work in financial markets may want to learn it. Advanced machine learning is a field that is expected to grow as more computing environments include some aspects of machine learning. Management careers that involve data analysis, strategic planning, and prediction are easier when the programs can learn about the data involved.‎

    Online courses can help you learn advanced machine learning through courses, Specializations, and Professional Certificates offered by universities and by software companies. Courses in Apache Spark, Keras, TensorFlow, MongoDb, and PySpark, among other packages, can help you learn how machine learning works in specific programming environments. Other classes cover the math and statistics needed to understand the underlying logic. Despite the name, not all courses are at an advanced level, although beginner courses in advanced machine learning call for background knowledge. Specializations and Guided Projects help you demonstrate your knowledge and test what you know.‎

    You'll want to make sure you have a strong foundation of machine learning fundamentals before moving onto advanced concepts and classes. It's helpful to know the fundamentals of scalable data science and mathematics, including linear algebra and multivariate calculus. Programming, especially in Python, is also recommended, as is basic knowledge of SQL. ‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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