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    Results for "advanced machine learning"

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Responsible AI: Applying AI Principles with Google Cloud

      Skills you'll gain: Data Ethics, Business Ethics, Accountability, Compliance Training, Ethical Standards And Conduct, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Governance, Decision Making, Corporate Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      598 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Diseño Instruccional: Aprendizaje activo y Pedagogía digital

      Skills you'll gain: Education Software and Technology, Instructional Design, Course Development, Learning Management Systems, Instructional Strategies, Educational Materials, Emerging Technologies, Innovation, Quality Assurance, Planning, Systems Analysis, Solution Design, Design Strategies, Digital Transformation, Technical Documentation, Virtual Environment, Virtual Reality, Continuous Monitoring

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Zurich

      An Intuitive Introduction to Probability

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Applied Mathematics, Statistical Methods, Risk Analysis, Finance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      The Structured Query Language (SQL)

      Skills you'll gain: SQL, Database Management, Query Languages, Relational Databases, Database Design, Database Theory, Data Analysis, Data Access, Data Manipulation, Data Modeling

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of London

      Teaching EFL/ESL Reading: A Task Based Approach

      Skills you'll gain: Literacy, English Language, Language Learning, Vocabulary, Grammar, Student-Centred Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      619 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Houston

      American Deaf Culture

      Skills you'll gain: Disabilities, Social Justice, Culture, Diversity Awareness, Sociology, Social Sciences, Cultural Diversity, Special Education, Education and Training, Non-Verbal Communication, Civil Law

      4.5
      Rating, 4.5 out of 5 stars
      ·
      381 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Speed Up Data Analysis and Presentation Building

      Skills you'll gain: Data Visualization, Data Presentation, Data Storytelling, Sampling (Statistics), Prompt Engineering, Presentations, Graphing, Data Ethics, Excel Formulas, Data Analysis, Oral Expression, Artificial Intelligence

      4.9
      Rating, 4.9 out of 5 stars
      ·
      58 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      English Lower Intermediate B1.1

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      190 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Introduction to Statistics & Data Analysis in Public Health

      Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, Statistical Software, R Programming, Statistics, Public Health, Descriptive Statistics, Probability Distribution, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Hacia una práctica constructivista en el aula

      Skills you'll gain: Education Software and Technology, Teaching, Pedagogy, Cultural Diversity, Instructional Design, Student-Centred Learning, Instructional Strategies, Human Learning, Curriculum Planning, Learning Theory, Student Engagement, Interpersonal Communications

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Career Discovery

      Skills you'll gain: Professional Networking, LinkedIn, Mentorship, Professional Development, Interviewing Skills, Social Media, Relationship Building, Social Media Strategy, Planning, Strategic Communication, Communication, Social Skills, Adaptability, Collaboration, Business Research, Negotiation, Leadership Development, Professionalism, Lifelong Learning, Goal Setting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Fundamentals of Management

      Skills you'll gain: Goal Setting, Professional Networking, Business Management, Staff Management, Leadership and Management, Operations Management, People Management, Business Administration, Business Planning, Customer Service, Organizational Leadership, Organizational Strategy, Leadership, Change Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 1 - 4 Weeks

    Searches related to advanced machine learning

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    1…636465…515

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

    • Responsible AI: Applying AI Principles with Google Cloud: Google Cloud
    • Diseño Instruccional: Aprendizaje activo y Pedagogía digital: Tecnológico de Monterrey
    • An Intuitive Introduction to Probability: University of Zurich
    • The Structured Query Language (SQL): University of Colorado Boulder
    • Teaching EFL/ESL Reading: A Task Based Approach: University of London
    • American Deaf Culture: University of Houston
    • Speed Up Data Analysis and Presentation Building: Google
    • English Lower Intermediate B1.1: Università di Napoli Federico II
    • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
    • Hacia una práctica constructivista en el aula: Pontificia Universidad Católica de Chile

    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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