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    Results for "advanced machine learning"

    • U

      University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Collection, Data Visualization Software, Data Manipulation, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Unstructured Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Leeds

      Fundamental Skills in Engineering Design

      Skills you'll gain: Engineering Design Process, Engineering Management, Product Lifecycle Management, Product Design, Product Development, Design, New Product Development, Product Requirements, Conceptual Design, Creative Thinking, Safety Assurance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      175 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Python Project for Data Science

      Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Natural Language Processing, Image Analysis, Deep Learning, Visualization (Computer Graphics), Applied Machine Learning, Predictive Analytics, Artificial Neural Networks, Algorithms, Data-Driven Decision-Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Specialization · 1 - 3 Months

    • J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Advanced Methods in Machine Learning Applications

      Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Linear Algebra from Elementary to Advanced

      Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      169 reviews

      Beginner · Specialization · 3 - 6 Months

    • R

      Rice University

      Introduction to Data Analysis Using Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Edinburgh

      Fundamentals of Music Theory

      Skills you'll gain: Music Theory, Music, Classical Music, Musical Composition

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Lesson | Small Talk & Conversational Vocabulary

      Skills you'll gain: Vocabulary, Verbal Communication Skills, English Language, Professionalism, Interpersonal Communications, Communication

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University at Buffalo

      Digital Manufacturing & Design Technology

      Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Product Lifecycle Management, Intrusion Detection and Prevention, Security Controls, Performance Measurement, Control Systems, Continuous Monitoring, Anomaly Detection, Machine Controls, Incident Response, Digital Transformation, Vulnerability Assessments, Process Analysis, Data Sharing, Manufacturing Processes, Manufacturing Operations, Product Design, Manufacturing and Production, Constructive Feedback

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      Duke University

      Dog Emotion and Cognition

      Skills you'll gain: Psychology, Learning Theory, Training Programs, Anthropology, Social Sciences, Experimentation, Research, Scientific Methods, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.6K reviews

      Mixed · Course · 1 - 3 Months

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

    • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
    • Fundamental Skills in Engineering Design: University of Leeds
    • Python Project for Data Science: IBM
    • Explainable AI (XAI): Duke University
    • Neuroscience and Neuroimaging: Johns Hopkins University
    • Advanced Methods in Machine Learning Applications: Johns Hopkins University
    • Linear Algebra from Elementary to Advanced: Johns Hopkins University
    • Introduction to Data Analysis Using Excel: Rice University
    • Fundamentals of Music Theory: The University of Edinburgh
    • Lesson | Small Talk & Conversational Vocabulary: Georgia Institute of Technology

    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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