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    Results for "advanced machine learning"

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Academic Listening and Note-Taking

      Skills you'll gain: Oral Comprehension, Active Listening, Public Speaking, Verbal Communication Skills, English Language, Critical Thinking, Organizational Skills, Analytical Skills

      4.5
      Rating, 4.5 out of 5 stars
      ·
      953 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Python Programming

      Skills you'll gain: Data Structures, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Scripting, Software Development Tools, Integrated Development Environments, Data Import/Export, Jupyter, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Generative Adversarial Network

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      89 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Storytelling and influencing: Communicate with impact

      Skills you'll gain: Overcoming Objections, Influencing, Persuasive Communication, Storytelling, Rapport Building, Meeting Facilitation, Leadership, Presentations, Communication, Verbal Communication Skills, Public Speaking, Non-Verbal Communication, Empathy, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • A

      Atlassian

      Version Control with Git

      Skills you'll gain: Git (Version Control System), Version Control, GitHub, Bitbucket, Software Configuration Management, Command-Line Interface, Code Review, Collaborative Software, Graphical Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Introduction to AI

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Software, Machine Learning, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      321 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: From Concept to Data Analysis

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Scripting in Python

      Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Programming Principles, Data Processing, Data Mapping, Data Manipulation, Software Installation, Development Environment, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Program Development, Data Integration, Data Analysis, Computer Programming, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of London

      Get Interactive: Practical Teaching with Technology

      Skills you'll gain: Education Software and Technology, Learning Management Systems, Collaborative Software, Test Tools, Content Management Systems, Security Software, Video Production

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Shanghai Jiao Tong University

      Mandarin Chinese 1: Chinese for Beginners

      Skills you'll gain: Language Learning, Cultural Diversity, Culture, Vocabulary, Language Competency, Oral Comprehension

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      762 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Minnesota

      Creative Problem Solving

      Skills you'll gain: Creativity, Creative Thinking, Creative Problem-Solving, Brainstorming, Cognitive flexibility, Persistence, Curiosity, Resourcefulness, Innovation, Growth Mindedness, Adaptability, Motivational Skills

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    Searches related to advanced machine learning

    advanced machine learning algorithms
    advanced machine learning and deep learning
    advanced machine learning on google cloud
    advanced ai and machine learning techniques and capstone
    advanced methods in machine learning applications
    1…434445…513

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

    • Academic Listening and Note-Taking: University of California, Irvine
    • Introduction to Python Programming: University of Pennsylvania
    • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
    • Storytelling and influencing: Communicate with impact: Macquarie University
    • Version Control with Git: Atlassian
    • Introduction to AI: Google
    • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
    • Introduction to Scripting in Python: Rice University
    • Get Interactive: Practical Teaching with Technology: University of London
    • Mandarin Chinese 1: Chinese for Beginners: Shanghai Jiao Tong 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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