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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

    • D

      Duke University

      Medical Neuroscience

      Skills you'll gain: Neurology, Anatomy, Medical Science and Research, Psychology, Pathology, Molecular Biology, Biology, Pharmacology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Blockchain

      Skills you'll gain: Blockchain, Test Driven Development (TDD), Cryptography, Application Development, Transaction Processing, Emerging Technologies, Integrated Development Environments, Software Architecture, Network Protocols, Encryption, Web Applications, Program Development, Distributed Computing, Application Programming Interface (API), Microsoft Azure, FinTech, Software Development, Cloud Computing Architecture, Development Environment, Web Development Tools

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Word Forms and Simple Present Tense

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Customer Analytics

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Marketing Analytics, Predictive Analytics, Customer Insights, Customer Analysis, Business Analytics, Customer Data Management, Analytics, Marketing, Data Collection, Market Research, Regression Analysis, Consumer Behaviour, Correlation Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      295 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Machine Learning Algorithms: Supervised Learning Tip to Tail

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      413 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Science of Exercise

      Skills you'll gain: Kinesiology, Nutrition and Diet, Health Assessment, Pharmacology, Public Health and Disease Prevention, Preventative Care, Respiration, Anatomy, Chronic Diseases, Vital Signs, Biochemistry, Biology, Cardiology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Fintech: Foundations & Applications of Financial Technology

      Skills you'll gain: FinTech, Portfolio Management, Consumer Lending, Return On Investment, Blockchain, Cryptography, Credit/Debit Card Processing, Digital Assets, Financial Services, Payment Processing, Investments, Lending and Underwriting, Investment Management, Technology Strategies, Emerging Technologies, Risk Analysis, Fundraising and Crowdsourcing, Financial Market, Market Analysis, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Spanish Vocabulary: Meeting People

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Learn English: Advanced Academic Speaking and Listening

      Skills you'll gain: Verbal Communication Skills, Presentations, Public Speaking, Discussion Facilitation, Non-Verbal Communication, Oral Comprehension, Communication, English Language, Active Listening, Social Skills, Constructive Feedback, Interpersonal Communications, Collaboration, Planning, Critical Thinking, Analytical Skills, Stress Management, Organizational Skills, Detail Oriented, Creativity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introductory C Programming

      Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Software Engineering, Simulations, System Programming, Data Structures, Software Development, Computer Programming, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 3 - 6 Months

    Machine Learning Andrew Ng learners also search

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    1…222324…424

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

    • Medical Neuroscience: Duke University
    • Blockchain: University at Buffalo
    • Word Forms and Simple Present Tense: University of California, Irvine
    • Customer Analytics: University of Pennsylvania
    • Create Machine Learning Models in Microsoft Azure: Microsoft
    • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
    • Science of Exercise: University of Colorado Boulder
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Fintech: Foundations & Applications of Financial Technology: University of Pennsylvania
    • Spanish Vocabulary: Meeting People: University of California, Davis

    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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