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    Results for "advanced machine learning"

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Consonants of American English Pronunciation

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      902 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Bioinformatics

      Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Computational Thinking, Graph Theory, Markov Model, Biochemistry, Life Sciences, Microbiology, Statistical Analysis, Medical Science and Research, Precision Medicine, Biology, Pharmacology, Algorithms, Infectious Diseases, Data Mining

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Big Data

      Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis, Real Time Data, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Teach English Now! Lesson Design and Assessment

      Skills you'll gain: Oral Expression, Design Elements And Principles, Design Strategies, English Language, Language Learning

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

      Mixed · Course · 1 - 3 Months

    • U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Molecular Biology, Python Programming, Computational Thinking, Biology, Algorithms, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universitat Autònoma de Barcelona

      English for Teaching Purposes

      Skills you'll gain: Classroom Management, Language Competency, English Language, Verbal Communication Skills, Higher Education, Collaboration, Vocabulary, Instructional Strategies, Grammar, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      602 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Museum of Modern Art

      Teaching with Art: Using Inquiry, Activities, and Themes

      Skills you'll gain: Design Thinking, Art History, Liberal Arts, Lesson Planning, Literacy, Creative Thinking, Aesthetics, Learning Styles, Creativity, Teaching, Social Studies, Learning Strategies, Empathy, Critical Thinking, Emotional Intelligence, Instructional Strategies, Student Engagement, Self-Awareness, Curriculum Planning, Curriculum Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Commonwealth Education Trust

      Writing for Young Readers: Opening the Treasure Chest

      Skills you'll gain: Editing, Proofreading, Storytelling, Writing, Grammar, Content Creation, Peer Review, Digital Publishing, Creativity, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel, Part 1

      Skills you'll gain: Data Import/Export, Microsoft Excel, Data Visualization, Data Management, Excel Macros, Excel Formulas, Data Validation, Microsoft Word, Microsoft PowerPoint

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Introduction to Public Speaking

      Skills you'll gain: Public Speaking, Verbal Communication Skills, Communication, Communication Strategies, Composure, Instructional Design, Stress Management, Education Software and Technology, Organizational Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Introduction to Microsoft Azure Cloud Services

      Skills you'll gain: Microsoft Azure, Cloud Services, Virtualization, Cloud Computing, Virtual Machines, Cloud Platforms, Cloud Storage, Cloud Infrastructure, Virtual Private Networks (VPN), Public Cloud, General Networking, Database Management Systems, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Get Started with Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Programming Principles, Scripting, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Advanced · Course · 1 - 3 Months

    Searches related to advanced machine learning

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    1…353637…512

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

    • Consonants of American English Pronunciation: University of California, Irvine
    • Bioinformatics: University of California San Diego
    • Introduction to Big Data: University of California San Diego
    • Teach English Now! Lesson Design and Assessment: Arizona State University
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • English for Teaching Purposes: Universitat Autònoma de Barcelona
    • Teaching with Art: Using Inquiry, Activities, and Themes: The Museum of Modern Art
    • Writing for Young Readers: Opening the Treasure Chest: Commonwealth Education Trust
    • Everyday Excel, Part 1: University of Colorado Boulder
    • Introduction to Public Speaking: University of Washington

    Frequently Asked Questions about Advanced Machine Learning

    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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