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    Results for "advanced machine learning"

    • S

      SAS

      Machine Learning Rock Star – the End-to-End Practice

      Skills you'll gain: Predictive Modeling, Data Ethics, Predictive Analytics, Machine Learning, Technical Management, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Business Leadership, Performance Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      188 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      N

      National Taiwan University

      3D CAD Fundamental

      Skills you'll gain: 3D Modeling, SketchUp (3D Modeling Software), Software Installation, Visualization (Computer Graphics), Computer Graphics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      649 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Generative AI, Applied Machine Learning, Natural Language Processing, Python Programming, Performance Tuning

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • R

      Rice University

      Medical Terminology I

      Skills you'll gain: Medical Terminology, Orthopedics, Medical Records, Urology, Anatomy, Electronic Medical Record

      4.9
      Rating, 4.9 out of 5 stars
      ·
      660 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universitat Autònoma de Barcelona

      Digital Systems: From Logic Gates to Processors

      Skills you'll gain: Computer Architecture, Hardware Architecture, Technical Design, System Design and Implementation, Application Specific Integrated Circuits, Embedded Systems, Digital Design, Computer Hardware, Computational Logic, Simulations

      4.3
      Rating, 4.3 out of 5 stars
      ·
      836 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Arizona State University

      Teach English Now! Capstone Project 1

      Skills you'll gain: Self-Awareness, Goal Setting, English Language, Language Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      W

      Whizlabs

      NVIDIA: Fundamentals of Machine Learning

      Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Applied Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Università Bocconi

      Corporate Sustainability. Understanding and Seizing the Strategic Opportunity

      Skills you'll gain: Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Business Transformation, Business Ethics, Organizational Change, Socioeconomics, Business Strategy, Systems Thinking, Stakeholder Management, Innovation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      897 reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination

      4.4
      Rating, 4.4 out of 5 stars
      ·
      761 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universitat Autònoma de Barcelona

      Corrección, estilo y variaciones de la lengua española

      Skills you'll gain: Spanish Language, Writing, Proofreading, Grammar, Vocabulary, Editing, Language Interpretation, Translation, and Studies, Style Guides

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Build your first Machine Learning Pipeline using Dataiku

      Skills you'll gain: Data Import/Export, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Visualization, Data Analysis, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      58 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Machine Learning Rock Star – the End-to-End Practice: SAS
    • 3D CAD Fundamental: National Taiwan University
    • Introduction to Deep Learning: University of Colorado Boulder
    • Medical Terminology I: Rice University
    • Digital Systems: From Logic Gates to Processors: Universitat Autònoma de Barcelona
    • Teach English Now! Capstone Project 1: Arizona State University
    • NVIDIA: Fundamentals of Machine Learning: Whizlabs
    • Corporate Sustainability. Understanding and Seizing the Strategic Opportunity : Università Bocconi
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Corrección, estilo y variaciones de la lengua española: Universitat Autònoma de Barcelona

    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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