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    Results for "advanced machine learning"

    • Status: Free Trial
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      I

      IBM

      Introduction to Relational Databases (RDBMS)

      Skills you'll gain: Database Design, MySQL, IBM DB2, Relational Databases, Databases, Database Management Systems, PostgreSQL, Data Management, Database Architecture and Administration, SQL, Data Integrity, Data Modeling, Data Manipulation, Command-Line Interface

      4.6
      Rating, 4.6 out of 5 stars
      ·
      705 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Text Mining and Analytics

      Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Analytics, Data Analysis, Unsupervised Learning, Probability & Statistics, Regression Analysis, Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
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      735 reviews

      Mixed · Course · 1 - 3 Months

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      Università di Napoli Federico II

      English Intermediate B1.2

      Skills you'll gain: English Language, Vocabulary, Education and Training, Language Learning, Interpersonal Communications, Environmental Issue, Oral Comprehension, Grammar

      4.7
      Rating, 4.7 out of 5 stars
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      185 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introduction to HTML

      Skills you'll gain: Hypertext Markup Language (HTML), Front-End Web Development, Web Design and Development, Web Development, Web Development Tools, Web Applications, Web Content, Integrated Development Environments

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Cape Town

      Writing your World: Finding yourself in the academic space

      Skills you'll gain: Writing, Culture, Liberal Arts, Editing, Cultural Diversity, Peer Review, Proofreading, Research, Sociology, Style Guides, Creativity, Student Engagement, Learning Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      257 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python Project for Data Engineering

      Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides

      4.6
      Rating, 4.6 out of 5 stars
      ·
      774 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
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      U

      University of California, Davis

      Advanced Content and Social Tactics to Optimize SEO

      Skills you'll gain: Content Creation, Social Media Strategy, Search Engine Optimization, Content Marketing, Web Analytics and SEO, Content Strategy, Social Media Marketing, Keyword Research, Target Audience, Brand Awareness, Influencing, Relationship Building

      4.6
      Rating, 4.6 out of 5 stars
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      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Python Programming Essentials

      Skills you'll gain: Programming Principles, Python Programming, Development Environment, Computer Programming, Integrated Development Environments, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Spacecraft Dynamics and Control

      Skills you'll gain: Control Systems, Mechanics, Torque (Physics), Vibrations, Linear Algebra, Numerical Analysis, Engineering Calculations, Simulations, Engineering Analysis, Differential Equations, Physics, Mathematical Modeling, Visualization (Computer Graphics), Simulation and Simulation Software, Applied Mathematics, Engineering, Verification And Validation, Advanced Mathematics, Estimation, Matlab

      4.8
      Rating, 4.8 out of 5 stars
      ·
      427 reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Data Science Ethics

      Skills you'll gain: Data Ethics, Data Sharing, Information Privacy, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Intellectual Property, Data Analysis, Social Sciences, Sampling (Statistics), Data-Driven Decision-Making, Diversity Awareness

      4.7
      Rating, 4.7 out of 5 stars
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      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Cisco Learning and Certifications

      Security Operations Center (SOC)

      Skills you'll gain: Threat Modeling, Threat Detection, Cyber Operations, Cybersecurity, Security Information and Event Management (SIEM), Incident Response, Security Management, Computer Security Incident Management, Cyber Attacks, Event Monitoring, Network Monitoring, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      273 reviews

      Mixed · Course · 1 - 3 Months

    • M

      Michigan State University

      Design and Make Infographics (Project-Centered Course)

      Skills you'll gain: Infographics, Adobe Illustrator, Graphic and Visual Design, Data Mapping, Typography, Design Elements And Principles, Graphical Tools, Storytelling, Color Theory

      4.6
      Rating, 4.6 out of 5 stars
      ·
      955 reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Introduction to Relational Databases (RDBMS): IBM
    • Text Mining and Analytics: University of Illinois Urbana-Champaign
    • English Intermediate B1.2: Università di Napoli Federico II
    • Introduction to HTML: Coursera Project Network
    • Writing your World: Finding yourself in the academic space : University of Cape Town
    • Python Project for Data Engineering: IBM
    • Advanced Content and Social Tactics to Optimize SEO: University of California, Davis
    • Python Programming Essentials: Rice University
    • Spacecraft Dynamics and Control: University of Colorado Boulder
    • Data Science Ethics: University of Michigan

    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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