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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 Illinois Urbana-Champaign

      Innovation: From Creativity to Entrepreneurship

      Skills you'll gain: Strategic Decision-Making, Innovation, Creativity, Team Management, Creative Thinking, Value Propositions, Entrepreneurship, Creative Problem-Solving, Technology Strategies, Ideation, Presentations, Business Modeling, Go To Market Strategy, Business Planning, Collaboration, New Business Development, Open Mindset, New Product Development, Market Opportunities, Organizational Strategy

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Y

      Yale University

      Anatomy of the Chest, Neck, Abdomen, and Pelvis

      Skills you'll gain: Cardiology, Anatomy, Obstetrics And Gynecology, Gynecology, Urology, Patient Positioning, Neurology, Pulmonology, Nephrology, Medical Terminology, Pathology, Radiology, General Medical Tests and Procedures, Surgery

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Web Development for Beginners

      Skills you'll gain: Responsive Web Design, Color Theory, Version Control, Typography, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), GitHub, Git (Version Control System), Web Design, Web Design and Development, Web Development, Web Content Accessibility Guidelines, Front-End Web Development, Application Deployment, Web Applications, Design Elements And Principles, Animations, Web Content, Mobile Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Adjectives and Adjective Clauses

      Skills you'll gain: Grammar, Vocabulary, English Language, Oral Comprehension

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      EDIVET: Do you have what it takes to be a veterinarian?

      Skills you'll gain: Anatomy, Vital Signs, Respiration, Health Care, Caregiving, Health Systems, Health Assessment, Clinical Experience, Medical History Documentation, Cardiology, Biology, Practice Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Foundational Finance for Strategic Decision Making

      Skills you'll gain: Market Data, Loans, Finance, Microsoft Excel, General Finance, Corporate Finance, Mortgage Loans, Financial Analysis, Equities, Investments, Financial Market, Business Valuation, Investment Management, Capital Budgeting, Capital Markets, Financial Modeling, Financial Management, Business Mathematics, Financial Planning, Cash Flows

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      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

    • C

      Commonwealth Education Trust

      Writing for Young Readers: Opening the Treasure Chest

      Skills you'll gain: Editing, Proofreading, Storytelling, Writing, Grammar, Content Creation, Peer Review, Digital Publishing, Creativity, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • P

      Peking University

      Chinese Characters for beginner 汉字

      Skills you'll gain: Language Learning, Vocabulary, Oral Comprehension, Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • N

      Nanjing University

      Translation in Practice

      Skills you'll gain: Language Interpretation, Translation, and Studies, Language Competency, Vocabulary, English Language, Writing and Editing, Grammar, Cultural Sensitivity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      245 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Agile Development and Scrum

      Skills you'll gain: Agile Software Development, Agile Methodology, Kanban Principles, Agile Project Management, User Story, Sprint Retrospectives, Sprint Planning, Workflow Management, Performance Metric, Team Oriented, Backlogs, Performance Measurement, Lean Methodologies, Continuous Improvement Process, Prioritization, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Machine Learning learners also search

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    1…414243…460

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

    • Innovation: From Creativity to Entrepreneurship: University of Illinois Urbana-Champaign
    • Anatomy of the Chest, Neck, Abdomen, and Pelvis: Yale University
    • Web Development for Beginners: University of California, Davis
    • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
    • Adjectives and Adjective Clauses: University of California, Irvine
    • EDIVET: Do you have what it takes to be a veterinarian?: The University of Edinburgh
    • Foundational Finance for Strategic Decision Making: University of Michigan
    • Introduction to Neural Networks and PyTorch: IBM
    • Writing for Young Readers: Opening the Treasure Chest: Commonwealth Education Trust
    • Chinese Characters for beginner 汉字: Peking University

    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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