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    • Applied Machine Learning

    Applied Machine Learning Courses Online

    Explore applied machine learning for practical applications. Learn to implement models using scikit-learn, TensorFlow, and real-world datasets.

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    Explore the Applied Machine Learning Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Hardware, Electronic Systems, Embedded Systems, Application Specific Integrated Circuits, Electrical and Computer Engineering, Schematic Diagrams, Technical Design, System Design and Implementation, Computer Architecture, Software Design, Hardware Architecture, Microarchitecture, Computational Logic, System Configuration, Verification And Validation, Design Software, Simulation and Simulation Software, Prototyping

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

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Introduction to Finance: The Basics

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Analysis, Finance, Cash Flows, Balance Sheet, Income Statement, Accounting, Investment Management, Return On Investment, Corporate Finance, Financial Management, Organizational Structure, Business, Business Management, Financial Forecasting

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      474 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Fundamentals of Engineering Exam Review

      Skills you'll gain: Structural Analysis, Probability & Statistics, Structural Engineering, Hydraulics, Statistical Methods, Statistics, Engineering Analysis, Mechanical Engineering, Probability, Engineering, Probability Distribution, Mechanics, Engineering Calculations, Civil Engineering, Applied Mathematics, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      611 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      High-Impact Business Writing

      Skills you'll gain: Business Writing, Business Correspondence, Concision, Editing, Grammar, Proofreading, Business Communication, Report Writing, Global Marketing, Writing, Target Audience, Communication, Virtual Teams, Press Releases, Persuasive Communication, Presentations, Communication Strategies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      IELTS Reading Section Skills Mastery

      Skills you'll gain: Quick Learning, Time Management, Learning Strategies, Literacy, Detail Oriented, Vocabulary, English Language

      4.6
      Rating, 4.6 out of 5 stars
      ·
      440 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Go Beyond the Numbers: Translate Data into Insights

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      797 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Developing AI Applications with Python and Flask

      Skills you'll gain: Flask (Web Framework), Unit Testing, Application Development, Application Deployment, Software Development Life Cycle, Python Programming, IBM Cloud, Artificial Intelligence, Web Applications, Code Review, Application Programming Interface (API), Restful API, Programming Principles, Style Guides

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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
      ·
      762 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      948 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Recommender Systems

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Algorithms, System Design and Implementation, Predictive Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      823 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Fundamental Neuroscience for Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Experimentation, Research Design, Psychology, Image Analysis, Medical Terminology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      Novartis

      Clinical Trials: Good Clinical Practice

      Skills you'll gain: Clinical Research, Clinical Trials, Healthcare Ethics, Patient Education And Counseling, Record Keeping, Medical Science and Research, Regulatory Compliance, Document Management, Medical Privacy, Patient Safety, Risk Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      514 reviews

      Beginner · Specialization · 1 - 3 Months

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

    • Introduction to FPGA Design for Embedded Systems: University of Colorado Boulder
    • Introduction to Finance: The Basics: University of Illinois Urbana-Champaign
    • Fundamentals of Engineering Exam Review: Georgia Institute of Technology
    • High-Impact Business Writing: University of California, Irvine
    • IELTS Reading Section Skills Mastery: University of California, Irvine
    • Go Beyond the Numbers: Translate Data into Insights: Google
    • Developing AI Applications with Python and Flask: IBM
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Deep Learning with Keras and Tensorflow: IBM
    • Recommender Systems: University of Minnesota

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Applied Machine Learning

    It's important to learn about applied machine learning if you want to pursue a career in it or if you want to know how to use it in data analysis. Applied machine learning can be used to solve problems and collect insights from big data sets. When you learn machine learning fundamentals, you will be able to do predictive analysis, data analysis, and text mining. You'll be able to apply different programming languages and platforms to the data problems faced in your organization. Applied machine learning can help you pull insights and make decisions from the information that has been collecting for a long time.‎

    Career opportunities that arise from learning applied machine learning are mostly in computer programming. Applied machine learning, also known as automatic machine learning or AutoML, involves using computer languages for data analysis of large data. Being able to create the programs to do this is important. It is also useful to understand the power and limitations of applied machine learning if you will be using reports and making decisions based on applied machine learning. More and more management information systems include aspects of applied machine learning. This makes the field more useful to those who use data in their daily work.‎

    Online courses on Coursera can help you learn applied machine learning in several languages and platforms, including Python, Matlab, Google Cloud, H20 in R, and TensorFlow. Some courses cover programming languages, and others look at how machine learning is applied to decision making in specific fields. Most courses are at an intermediate level, but a few offer a beginner-level introduction to the fundamentals of applied machine learning and how to chart, plot, and mine text to make big data usable. The courses include lectures, readings, and projects so that you can apply what you learn. Some courses stand alone, and others are part of Specializations and Professional Certificates.‎

    Online Applied Machine Learning courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Machine Learning skills. With a wide range of Applied Machine Learning classes, you can conveniently learn at your own pace to advance your Applied Machine Learning career skills.‎

    When looking to enhance your workforce's skills in Applied Machine Learning, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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