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    Results for "advanced machine learning"

    • Status: Free
      Free
      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

    • G

      Google

      Go Beyond the Numbers: Translate Data into Insights

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      780 reviews

      Advanced · Course · 1 - 3 Months

    • I

      IBM

      Applied Data Science with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Leaflet (Software), Data Transformation, Database Management, Data Manipulation, Web Scraping, R Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Culture-Driven Team Building

      Skills you'll gain: Diversity and Inclusion, Diversity Awareness, Team Management, Teamwork, Employee Coaching, Diversity Equity and Inclusion Initiatives, Goal Setting, Intercultural Competence, Cultural Diversity, Emotional Intelligence, Team Building, Team Leadership, Team Performance Management, Systems Thinking, Team Motivation, Presentations, Cognitive flexibility, Change Management, Culture, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • 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

    • Status: Free
      Free
      U

      University at Buffalo

      ADHD: Everyday Strategies for Elementary Students

      Skills you'll gain: Psychological Evaluations, Classroom Management, Teaching, Instructional Strategies, Student Engagement, Parent Communication, Mental and Behavioral Health, Behavior Management, Positive Behavior Support, Working With Children, Pediatrics, Mental Health Diseases and Disorders, Treatment Planning, Child Development, Disabilities

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Hong Kong

      University Teaching

      Skills you'll gain: Instructional Design, Curriculum Development, Lesson Planning, Pedagogy, Teaching, Syllabus Development, Course Development, Instructional Strategies, Student Engagement, Higher Education, Student-Centred Learning

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

      Beginner · Course · 1 - 3 Months

    • 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

    • S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • K

      Kennesaw State University

      Six Sigma and the Organization (Advanced)

      Skills you'll gain: Quality Improvement, Lean Six Sigma, Lean Methodologies, Six Sigma Methodology, Process Improvement, Operational Excellence, Process Analysis, Business Process Management, Continuous Improvement Process, Project Management, Project Planning, Quality Control, Root Cause Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      Mastering Data Analysis in Excel

      Skills you'll gain: Microsoft Excel, Probability Distribution, Business Risk Management, Predictive Modeling, Regression Analysis, Risk Modeling, Business Analytics, Statistical Methods, Forecasting, Data Analysis, Probability, Financial Modeling, Classification And Regression Tree (CART)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 1 - 3 Months

    Searches related to advanced machine learning

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

    • Writing for Young Readers: Opening the Treasure Chest: Commonwealth Education Trust
    • Go Beyond the Numbers: Translate Data into Insights: Google
    • Applied Data Science with R: IBM
    • Culture-Driven Team Building: University of Pennsylvania
    • Introduction to Public Speaking: University of Washington
    • ADHD: Everyday Strategies for Elementary Students: University at Buffalo
    • Computational Thinking for Problem Solving: University of Pennsylvania
    • University Teaching: The University of Hong Kong
    • Build Your Professional ePortfolio in English: Georgia Institute of Technology
    • Probabilistic Graphical Models 3: Learning: Stanford University

    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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