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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
      Free
      G

      Georgia Institute of Technology

      Lesson | Small Talk & Conversational Vocabulary

      Skills you'll gain: Vocabulary, Verbal Communication Skills, English Language, Professionalism, Interpersonal Communications, Communication

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business: Intermediate I

      Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization, Consolidation, Business Reporting, Data Management, Data Cleansing, Automation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universiteit Leiden

      Miracles of Human Language: An Introduction to Linguistics

      Skills you'll gain: Language Competency, Anthropology, Cultural Diversity, Liberal Arts, Oral Comprehension, Oral Expression, Interviewing Skills, Vocabulary, Grammar, Psychology, Social Sciences, Sociology, Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Learn English: Advanced Grammar and Punctuation

      Skills you'll gain: Video Production, Grammar, Peer Review, Writing, Editing, Proofreading, English Language, Language Competency, Language Learning, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.6K reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Learning Languages with AI

      Skills you'll gain: Prompt Engineering, Generative AI, AI Personalization, Language Competency, Language Learning, ChatGPT, Artificial Intelligence, Education Software and Technology, Data Ethics

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of London

      Understanding Research Methods

      Skills you'll gain: Peer Review, Surveys, Research, Research Methodologies, Research Design, Writing, Qualitative Research, Ethical Standards And Conduct

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      IELTS Preparation

      Skills you'll gain: Time Management, Oral Comprehension, Quick Learning, Active Listening, Literacy, Language Competency, Public Speaking, Learning Strategies, Verbal Communication Skills, Grammar, English Language, Concision, Composure, Analytical Skills, Detail Oriented, Communication, Planning, Vocabulary, Adaptability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Teach English Now! Foundational Principles

      Skills you'll gain: Learning Strategies, Enthusiasm, Motivational Skills, Learning Styles, Language Learning, Education Software and Technology, Stress Management, Communication Strategies, Self-Awareness, Cultural Diversity, General Networking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      16K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      The Pronunciation of American English

      Skills you'll gain: Oral Comprehension, Language Competency, English Language, Vocabulary, Language Learning, Grammar

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI For Business

      Skills you'll gain: AI Personalization, Generative AI, Data Ethics, HR Tech, Data Governance, Big Data, Machine Learning, Personally Identifiable Information, Data Security, Governance, Business Strategy, Human Resources, Organizational Strategy, Customer Data Management, Credit Risk, Risk Management, Tensorflow, Personalized Service, Data-Driven Decision-Making, People Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on Google Cloud

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Jupyter, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Methodology

      Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Data Cleansing, Business Analysis, Data Mining, Predictive Modeling, Data Quality, Data Storytelling, Analytical Skills, User Feedback, Decision Tree Learning, Stakeholder Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Lesson | Small Talk & Conversational Vocabulary: Georgia Institute of Technology
    • Excel Skills for Business: Intermediate I: Macquarie University
    • Miracles of Human Language: An Introduction to Linguistics: Universiteit Leiden
    • Learn English: Advanced Grammar and Punctuation: University of California, Irvine
    • Learning Languages with AI: University of Michigan
    • Understanding Research Methods: University of London
    • IELTS Preparation: University of California, Irvine
    • Teach English Now! Foundational Principles: Arizona State University
    • The Pronunciation of American English: University of California, Irvine
    • AI For Business: University of Pennsylvania

    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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