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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

    • R

      Rice University

      English and Academic Preparation - Pre-Collegiate

      Skills you'll gain: Oral Comprehension, Critical Thinking, Writing, Learning Strategies, Active Listening, Literacy, English Language, Vocabulary, Verbal Communication Skills, Grammar, Language Learning, Research, Communication, Analytical Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      541 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Georgia Institute of Technology

      Build Your Professional ePortfolio in English

      Skills you'll gain: Professional Networking, LinkedIn, Instagram, Writing, Concision, Social Media, Grammar, Business Writing, English Language, Branding, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Good with Words: Writing and Editing

      Skills you'll gain: Writing and Editing, Editing, Constructive Feedback, Concision, Writing, Organizational Skills, Proofreading, Storytelling, Productivity, Planning, Detail Oriented, Communication, Brainstorming, Time Management, Content Creation, Overcoming Obstacles, Resourcefulness, Lifelong Learning, Decision Making, Critical Thinking

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

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Dog Emotion and Cognition

      Skills you'll gain: Psychology, Learning Theory, Training Programs, Anthropology, Social Sciences, Experimentation, Research, Scientific Methods, Non-Verbal Communication, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business: Intermediate II

      Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Modeling, Financial Forecasting, Workflow Management, Data Integrity, Business Modeling, Automation, Process Optimization, Data Security

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Peking University

      Chinese for HSK 1

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidade de São Paulo

      Introdução à Ciência da Computação com Python Parte 1

      Skills you'll gain: Debugging, Computational Thinking, Programming Principles, Data Structures, Computer Programming, Program Development, Integrated Development Environments, Computer Science, Python Programming, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Mathematical Software, Data Analysis, Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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: Learning Strategies, Collaboration, Productivity, Willingness To Learn, Human Learning, Mental Concentration, Time Management, Creativity, Growth Mindedness, Problem Solving, Cognitive flexibility, Self-Discipline, Self-Awareness

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

      Mixed · Course · 1 - 3 Months

    • S

      Stanford University

      Organizational Analysis

      Skills you'll gain: Organizational Structure, Decision Making, Organizational Leadership, Organizational Change, Professional Networking, Strategic Decision-Making, Business, Social Sciences, Culture, Sociology, Analysis, Resource Management, Learning Theory, Innovation, Negotiation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Visual Elements of User Interface Design

      Skills you'll gain: User Interface (UI) Design, Graphic and Visual Design, Web Design, Design Elements And Principles, Human Computer Interaction, Responsive Web Design, Typography, UI Components, Information Architecture, Interaction Design, User Experience Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.3K reviews

      Beginner · Course · 1 - 3 Months

    Machine Learning Andrew Ng learners also search

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    1…272829…424

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

    • English and Academic Preparation - Pre-Collegiate: Rice University
    • Build Your Professional ePortfolio in English: Georgia Institute of Technology
    • Probabilistic Graphical Models: Stanford University
    • Good with Words: Writing and Editing: University of Michigan
    • Dog Emotion and Cognition: Duke University
    • Excel Skills for Business: Intermediate II: Macquarie University
    • Chinese for HSK 1: Peking University
    • Introdução à Ciência da Computação com Python Parte 1: Universidade de São Paulo
    • Fundamentals of Computing: Rice University
    • 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

    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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