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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

    • J

      Johns Hopkins University

      The Unix Workbench

      Skills you'll gain: GitHub, Unix Shell, Unix, Git (Version Control System), Unix Commands, Version Control, Bash (Scripting Language), Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Programming Principles, File Management

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Agentic AI and AI Agents: A Primer for Leaders

      Skills you'll gain: Generative AI Agents, Workflow Management, Agentic systems, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Generative AI, Automation, Business Transformation, Technology Strategies, Business Strategy, Strategic Decision-Making, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      254 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Web Application Technologies and Django

      Skills you'll gain: Django (Web Framework), HTML and CSS, Model View Controller, Application Deployment, Application Frameworks, Web Applications, Web Servers, SQL, Databases, Network Protocols, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      Understanding Obesity

      Skills you'll gain: Scientific Methods, Student-Centred Learning, Health Disparities, Research, Nutrition and Diet, Behavioral Health, Peer Review, Social Sciences, Psychology, Stress Management, Economics, Biology, Neurology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      845 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Case Western Reserve University

      Inspiring Leadership through Emotional Intelligence

      Skills you'll gain: Emotional Intelligence, Compassion, Coaching, Organizational Change, Personal Development, Leadership, Resilience, Empathy, Self-Awareness, Stress Management, Positivity, Change Management, Mindfulness, Relationship Building

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Deep Teaching Solutions

      تعّلم كيف تتعلم: أدوات ذهنية قوية لمساعدتك على إتقان موضوعات صعبة

      Skills you'll gain:

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      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
      ·
      180 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Managing an Agile Team

      Skills you'll gain: Agile Software Development, Agile Methodology, Agile Project Management, Team Performance Management, Team Management, Team Building, Team Leadership, Sprint Retrospectives, Backlogs, User Story, Kanban Principles, Sales Presentation, Lean Methodologies, Process Improvement, Selling Techniques, Prioritization, Discussion Facilitation, Decision Making

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

      Mixed · Course · 1 - 4 Weeks

    • U

      UNSW Sydney (The University of New South Wales)

      Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets

      Skills you'll gain: Mechanics, Physics, Experimentation, Engineering Calculations, Applied Mathematics, Physical Science, Systems Of Measurement, Mathematical Modeling, Estimation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      Chicken Behaviour and Welfare

      Skills you'll gain: Ethical Standards And Conduct, Behavior Management, Behavioral Health, Learning Theory, Human Learning, Health Assessment, Psychology

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

      Mixed · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      English for Interactions in the Workplace Intermediate Level

      Skills you'll gain: English Language, Language Competency, Vocabulary, Business Correspondence, Writing, Grammar, Business Communication, Oral Expression, Storytelling, Communication Strategies, Business Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      284 reviews

      Intermediate · Course · 1 - 3 Months

    Applied Machine Learning learners also search

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    1…596061…460

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

    • The Unix Workbench: Johns Hopkins University
    • Agentic AI and AI Agents: A Primer for Leaders: Vanderbilt University
    • Web Application Technologies and Django: University of Michigan
    • Understanding Obesity: The University of Edinburgh
    • Inspiring Leadership through Emotional Intelligence: Case Western Reserve University
    • تعّلم كيف تتعلم: أدوات ذهنية قوية لمساعدتك على إتقان موضوعات صعبة: Deep Teaching Solutions
    • Virtual Teacher: University of California, Irvine
    • Linear Algebra from Elementary to Advanced: Johns Hopkins University
    • Managing an Agile Team: University of Virginia
    • Mechanics: Motion, Forces, Energy and Gravity, from Particles to Planets: UNSW Sydney (The University of New South Wales)

    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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