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    Results for "advanced machine learning"

    • Status: Free
      Free
      D

      Duke University

      Data Science Math Skills

      Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Statistics, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Getting Started with Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Productivity Software, Microsoft 365

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Business Communication

      Skills you'll gain: Business Writing, Conflict Management, Teamwork, Constructive Feedback, Business Correspondence, Decision Making, Cooperation, Business Communication, Collaboration, Diversity Awareness, Recognizing Others, Mediation, Writing, Organizational Skills, Interpersonal Communications, Concision, Team Motivation, Tactfulness, Performance Review, Employee Performance Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      AI for Good

      Skills you'll gain: Disaster Recovery, Jupyter, Data Analysis, Exploratory Data Analysis, Image Analysis, Data Ethics, Statistical Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Text Mining, Environmental Monitoring, Natural Language Processing, Unstructured Data, Deep Learning, Data Processing, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      459 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Cryptography I

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of California, Santa Cruz

      C and Go: Classical and Modern Programming

      Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C++ (Programming Language), Object Oriented Design, Object Oriented Programming (OOP), Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, File Management, Integration Testing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Washington

      Business English Communication Skills

      Skills you'll gain: Oral Expression, Negotiation, Proposal Writing, Presentations, Sales Presentation, Persuasive Communication, Event Planning, Business Writing, Peer Review, Business Communication, Taking Meeting Minutes, Public Speaking, Business Planning, Business Correspondence, Microsoft PowerPoint, Meeting Facilitation, Verbal Communication Skills, Professional Networking, English Language, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Toronto

      Introduction to Psychology

      Skills you'll gain: Psychology, Mental Health Diseases and Disorders, Human Learning, Human Development, Psychotherapy, Behavior Management, Social Sciences, Scientific Methods, Creativity, Experimentation, Cultural Diversity, Research, Ethical Standards And Conduct

      4.9
      Rating, 4.9 out of 5 stars
      ·
      5.3K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google

      Google Business Intelligence

      Skills you'll gain: Business Intelligence, Data Modeling, Dashboard, Database Design, Extract, Transform, Load, Data Integration, Stakeholder Engagement, Data Warehousing, Data Presentation, Performance Tuning, Data Pipelines, Data Visualization Software, Business Reporting, Data Integrity, Business Analytics, Real Time Data, Requirements Elicitation, Scalability, Business Process, Data-Driven Decision-Making

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Advanced · Professional Certificate · 3 - 6 Months

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

    • Data Science Math Skills: Duke University
    • Getting Started with Microsoft Excel: Coursera Project Network
    • Business Communication: University of Colorado Boulder
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • Introduction to Neural Networks and PyTorch: IBM
    • AI for Good: DeepLearning.AI
    • Cryptography I: Stanford University
    • C and Go: Classical and Modern Programming: University of California, Santa Cruz
    • Business English Communication Skills: University of Washington
    • A Crash Course in Data Science: Johns Hopkins 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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