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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

    • 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
      ·
      495 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Introduction to Cybersecurity Fundamentals

      Skills you'll gain: Computer Security Awareness Training, Cybersecurity, Security Awareness, Cyber Attacks, Data Security, Personally Identifiable Information, Malware Protection, Threat Management, Email Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      802 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University at Buffalo

      Improving Leadership & Governance in Nonprofit Organizations

      Skills you'll gain: Governance, Peer Review, Consulting, Non-Profit Accounting, Performance Measurement, Meeting Facilitation, Leadership and Management, Organizational Strategy, Strategic Leadership, Report Writing, Organizational Effectiveness, Leadership, Performance Analysis, Performance Management, Organizational Change, Leadership Development, Philanthropy, Change Management, Resource Management, Public Administration

      4.4
      Rating, 4.4 out of 5 stars
      ·
      251 reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Kennesaw State University

      Six Sigma Tools for Improve and Control

      Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Quality Improvement, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Process Capability, Quality Management, Project Management, Cost Benefit Analysis, Statistical Inference, Document Control

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

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Automating Real-World Tasks with Python

      Skills you'll gain: Web Services, Python Programming, Restful API, Professional Development, Automation, Scripting, Application Programming Interface (API), Stress Management, JSON, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Application of AI, InsurTech, and Real Estate Technology

      Skills you'll gain: FinTech, Financial Services, Emerging Technologies, Market Analysis, Artificial Intelligence and Machine Learning (AI/ML), Real Estate, Insurance, Artificial Intelligence, Investment Management, Asset Management, Market Trend, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      555 reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IE Business School

      Brand and Product Management

      Skills you'll gain: Product Lifecycle Management, Brand Strategy, Brand Management, Customer experience strategy (CX), Branding, Brand Awareness, Product Management, Brand Loyalty, Product Strategy, Product Planning, New Product Development, Employee Engagement, Customer Engagement, Portfolio Management, Competitive Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Developing AI Applications with Python and Flask

      Skills you'll gain: Unit Testing, Application Deployment, Flask (Web Framework), Software Testing, Application Development, Python Programming, Package and Software Management, Web Applications, Application Programming Interface (API), Natural Language Processing, Artificial Intelligence, IBM Cloud, Programming Principles, Style Guides

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      L

      Ludwig-Maximilians-Universität München (LMU)

      Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

      Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      386 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Web Development with HTML, CSS, JavaScript

      Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Web Development, Web Development Tools, Cascading Style Sheets (CSS), Front-End Web Development, Web Design, Javascript, Interactive Design, Web Applications, Full-Stack Web Development, Back-End Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      Tel Aviv University

      The Holocaust - An Introduction (I): Nazi Germany: Ideology, The Jews and the World

      Skills you'll gain: Public History, World History, European History, Social Justice, Research, Political Sciences, Social Sciences, Cultural Diversity, Policy Analysis, Ethical Standards And Conduct

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

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Virtual Teacher

      Skills you'll gain: Peer Review, Instructional Design, Education Software and Technology, Parent Communication, Instructional Strategies, Student Engagement, Learning Management Systems, Student Support and Services, Teaching, Course Development, Collaborative Software, Developing Training Materials, Curriculum Development, Curriculum Planning, Blended Learning, Virtual Environment, Data Management, Performance Testing, Augmented Reality, Web Content Accessibility Guidelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Beginner · Specialization · 3 - 6 Months

    Applied Machine Learning learners also search

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    1…606162…449

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

    • Clinical Trials: Good Clinical Practice: Novartis
    • Introduction to Cybersecurity Fundamentals: Coursera Instructor Network
    • Improving Leadership & Governance in Nonprofit Organizations: University at Buffalo
    • Six Sigma Tools for Improve and Control: Kennesaw State University
    • Automating Real-World Tasks with Python: Google
    • Application of AI, InsurTech, and Real Estate Technology: University of Pennsylvania
    • Brand and Product Management: IE Business School
    • Developing AI Applications with Python and Flask: IBM
    • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
    • Introduction to Web Development with HTML, CSS, JavaScript: IBM

    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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