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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

    • D

      DeepLearning.AI

      AI and Public Health

      Skills you'll gain: Jupyter, Data Analysis, Exploratory Data Analysis, Statistical Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Information Privacy, Deep Learning, Healthcare Ethics, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      219 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Toronto

      Introduction to Psychology

      Skills you'll gain: Psychology, Mental Health Diseases and Disorders, Human Learning, Human Development, Psychotherapy, Behavior Management, Social Sciences, Scientific Methods, Creativity, Experimentation, Cultural Diversity, Research, Ethical Standards And Conduct

      4.9
      Rating, 4.9 out of 5 stars
      ·
      5.3K reviews

      Mixed · Course · 1 - 3 Months

    • E

      EDHEC Business School

      Python and Machine Learning for Asset Management

      Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Machine Learning, Applied Machine Learning, Financial Modeling, Supervised Learning, Predictive Modeling, Risk Management, Feature Engineering, Unsupervised Learning, Regression Analysis, Statistical Methods, Dimensionality Reduction

      3.1
      Rating, 3.1 out of 5 stars
      ·
      328 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Data Science Methodology

      Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Data Cleansing, Business Analysis, Data Mining, Predictive Modeling, Data Quality, Data Storytelling, Analytical Skills, User Feedback, Decision Tree Learning, Stakeholder Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Project Manager

      Skills you'll gain: User Story, Stakeholder Engagement, Project Management Life Cycle, Resource Management, Risk Management, Peer Review, Agile Software Development, Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Kanban Principles, Team Motivation, Backlogs, Project Schedules, Resource Planning, Project Management, IT Management, Interviewing Skills, Professional Networking

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

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      U

      University of London

      Understanding Research Methods

      Skills you'll gain: Peer Review, Research, Surveys, Timelines, Writing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • G

      Google

      Foundations of Data Science

      Skills you'll gain: Data Storytelling, Data Ethics, Data Presentation, Data Analysis, Data-Driven Decision-Making, Analytical Skills, Data Science, Project Design, Communication, Business, Business Ethics, Business Workflow Analysis, Stakeholder Communications, Professional Networking, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado System

      School Health for Children and Adolescents

      Skills you'll gain: Autism Spectrum Disorders, Individualized Education Programs (IEP), Special Education, Nutrition Education, Community Health, School Psychology, Chronic Diseases, Student Support and Services, Nutrition and Diet, School Counseling, Public Health, Public Health and Disease Prevention, Mental and Behavioral Health Specialties, Care Management, Child Health, Patient Evaluation, Care Coordination, Disabilities, Medical Emergency, Social and Human Services

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • H

      HRCI

      HRCI Human Resource Associate

      Skills you'll gain: Talent Acquisition, Training and Development, Compensation and Benefits, Training Programs, Recruitment, Employee Training, Full Cycle Recruitment, Job Analysis, Employee Performance Management, Compensation Management, Performance Appraisal, Job Evaluation, Developing Training Materials, Compensation Strategy, Human Resource Policies, Organizational Structure, Occupational Safety And Health, Business Continuity Planning, Risk Management, Business Risk Management

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Macquarie University

      Excel Skills for Business: Intermediate I

      Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization, Consolidation, Business Reporting, Data Management, Data Cleansing, Automation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      HTML, CSS, and Javascript for Web Developers

      Skills you'll gain: HTML and CSS, Javascript, Responsive Web Design, Ajax, Front-End Web Development, Web Design, Web Applications, Hypertext Markup Language (HTML), Browser Compatibility, Web Development, Cascading Style Sheets (CSS), Usability, Cross Platform Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Mixed · Course · 1 - 4 Weeks

    Applied Machine Learning learners also search

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    1…252627…449

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

    • AI and Public Health: DeepLearning.AI
    • A Crash Course in Data Science: Johns Hopkins University
    • Introduction to Psychology: University of Toronto
    • Python and Machine Learning for Asset Management : EDHEC Business School
    • Data Science Methodology: IBM
    • IBM Project Manager: IBM
    • Understanding Research Methods: University of London
    • Foundations of Data Science: Google
    • School Health for Children and Adolescents: University of Colorado System
    • HRCI Human Resource Associate: HRCI

    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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