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    Results for "advanced machine learning"

    • R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Mathematical Software, Data Analysis, Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

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

      Mixed · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Advanced Writing

      Skills you'll gain: Writing, Grammar, Editing, Proofreading, Peer Review

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      COVID-19 Training for Healthcare Workers

      Skills you'll gain: Respiratory Care, Telehealth, Respiratory Therapy, Critical Care, Emergency and Intensive Care, Patient Positioning, Patient Treatment, Pediatrics, Infection Control, Patient Evaluation, Intensive Care Unit, Vital Signs, Health Assessment, Infectious Diseases, Medical Ultrasonography

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Michigan

      Introduction to CSS3

      Skills you'll gain: Cascading Style Sheets (CSS), Web Content Accessibility Guidelines, HTML and CSS, Web Design, Hypertext Markup Language (HTML), Responsive Web Design, Usability, Browser Compatibility, Javascript, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of London

      Global Diplomacy: the United Nations in the World

      Skills you'll gain: International Relations, Diplomacy, Crisis Intervention, Political Sciences, Public Policies, Social Justice, World History, Systems Thinking, Policy Analysis, Governance, Cultural Diversity, Conflict Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • S

      Salesforce

      Sales and CRM Overview

      Skills you'll gain: Sales Process, Sales, Salesforce, Customer Relationship Management (CRM) Software, Sales Operations, Customer Relationship Management, Sales Development, B2B Sales, Data Management, Customer Data Management, Databases, Data Cleansing, Business-To-Consumer

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Knowledge Accelerators

      Customer Service Fundamentals

      Skills you'll gain: Service Level Agreement, Problem Solving, Customer Service, Customer Support, Desktop Support, Technical Communication, Help Desk Support, Technical Support, Critical Thinking and Problem Solving, Issue Tracking, Rapport Building, Patience, Empathy, Time Management, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Django for Everybody

      Skills you'll gain: Application Deployment, Django (Web Framework), Object-Relational Mapping, HTML and CSS, Model View Controller, jQuery, Ajax, JSON, Database Design, SQL, Application Frameworks, Databases, Application Development, Javascript, Object Oriented Programming (OOP), Web Development, Data Modeling, Application Security, Web Applications, Web Servers

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of London

      Introduction to English Common Law

      Skills you'll gain: Case Law, Court Systems, Legal Research, Legal Proceedings, Litigation and Civil Justice, Law, Regulation, and Compliance, Civil Law, Mediation, Political Sciences, European History, Governance

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

      Beginner · Course · 1 - 3 Months

    • M

      MathWorks

      Predictive Modeling and Machine Learning with MATLAB

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Processing, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Fundamentals of Finance

      Skills you'll gain: Finance, Equities, Financial Modeling, Corporate Finance, Financial Analysis, Business Valuation, Investments, Investment Management, Risk Analysis, Cash Flows

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

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

    • Fundamentals of Computing: Rice University
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Advanced Writing: University of California, Irvine
    • COVID-19 Training for Healthcare Workers: Stanford University
    • Introduction to CSS3: University of Michigan
    • Global Diplomacy: the United Nations in the World: University of London
    • Sales and CRM Overview: Salesforce
    • Customer Service Fundamentals: Knowledge Accelerators
    • Django for Everybody: University of Michigan
    • Introduction to English Common Law: University of London

    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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