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    Results for "advanced machine learning"

    • Status: Free Trial
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      U

      University of California, Irvine

      Study Skills for University Success

      Skills you'll gain: Learning Styles, Learning Strategies, Time Management, Verbal Communication Skills, Organizational Skills, Active Listening, Literacy, Communication, Interpersonal Communications, Student Engagement, Ethical Standards And Conduct, Adaptability, Blended Learning

      4.7
      Rating, 4.7 out of 5 stars
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      109 reviews

      Beginner · Course · 1 - 4 Weeks

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      U

      University of California, Davis

      Spanish Vocabulary: Careers and Social Events

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

      4.7
      Rating, 4.7 out of 5 stars
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      202 reviews

      Beginner · Course · 1 - 4 Weeks

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      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
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      137 reviews

      Advanced · Course · 1 - 3 Months

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      The University of Sydney

      Problem-Solving Skills for University Success

      Skills you'll gain: Creative Problem-Solving, Problem Solving, Creative Thinking, Brainstorming, Analytical Skills, Critical Thinking, Cognitive flexibility, Complex Problem Solving, Research, Communication

      4.9
      Rating, 4.9 out of 5 stars
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      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Copenhagen

      The New Nordic Diet - from Gastronomy to Health

      Skills you'll gain: Nutrition and Diet, Cooking, Food and Beverage, Preventative Care, Public Health and Disease Prevention, Clinical Nutrition, Public Health, Environment, Child Health, Clinical Trials, Research Design

      4.6
      Rating, 4.6 out of 5 stars
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      777 reviews

      Mixed · Course · 1 - 3 Months

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      IBM

      Introduction to R Programming for Data Science

      Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

      4.5
      Rating, 4.5 out of 5 stars
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      567 reviews

      Beginner · Course · 1 - 3 Months

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      U

      University of California, Davis

      Big Data, Artificial Intelligence, and Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Research Methodologies, Social Sciences, Machine Learning, Data Mining, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
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      610 reviews

      Beginner · Course · 1 - 4 Weeks

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      University of California, Davis

      Creating Dashboards and Storytelling with Tableau

      Skills you'll gain: Data Storytelling, Data Presentation, Key Performance Indicators (KPIs), Dashboard, Interactive Data Visualization, Tableau Software, Data Visualization Software, Data Visualization, Storytelling, Performance Metric, Business Metrics, Target Audience, Stakeholder Engagement, Drive Engagement

      4.6
      Rating, 4.6 out of 5 stars
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      1K reviews

      Beginner · Course · 1 - 4 Weeks

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      U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
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      491 reviews

      Intermediate · Course · 1 - 3 Months

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      U

      Universidad Nacional Autónoma de México

      Evaluación educativa

      Skills you'll gain: Peer Review, Program Evaluation, Patient Evaluation, Curriculum Planning, Surveys, Qualitative Research, Education Software and Technology, Health Assessment, Pedagogy, Psychological Evaluations, Curriculum Development, Needs Assessment, Quality Assessment, Simulations, Education and Training, Teaching, Instructional Design, Quantitative Research, Student-Centred Learning, Higher Education

      4.8
      Rating, 4.8 out of 5 stars
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      821 reviews

      Beginner · Specialization · 3 - 6 Months

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      Meta

      Desarrollador front-end de Meta

      Skills you'll gain: User Research, UI/UX Research, Persona (User Experience), Jest (JavaScript Testing Framework), Responsive Web Design, Design Research, Bootstrap (Front-End Framework), Version Control, User Experience Design, HTML and CSS, Unix Commands, Front-End Web Development, Usability, Web Design, React.js, Javascript, Interaction Design, Algorithms, Mobile Development, Pseudocode

      4.7
      Rating, 4.7 out of 5 stars
      ·
      475 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of London

      What future for education?

      Skills you'll gain: Learning Theory, Teaching, Human Learning, Pedagogy, Education and Training, Higher Education, Social Sciences, Policy Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      867 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to advanced machine learning

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    1…888990…516

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

    • Study Skills for University Success: University of California, Irvine
    • Spanish Vocabulary: Careers and Social Events: University of California, Davis
    • Machine Learning Capstone: IBM
    • Problem-Solving Skills for University Success: The University of Sydney
    • The New Nordic Diet - from Gastronomy to Health : University of Copenhagen
    • Introduction to R Programming for Data Science: IBM
    • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
    • Creating Dashboards and Storytelling with Tableau: University of California, Davis
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Evaluación educativa: Universidad Nacional Autónoma de México

    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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