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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

    • U

      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Generative AI, Applied Machine Learning, Natural Language Processing, Python Programming, Performance Tuning

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Microsoft

      Microsoft Azure Developer Associate (AZ-204) Exam Prep

      Skills you'll gain: Cloud Development, Microsoft Azure, Cloud Storage, Data Storage, Serverless Computing, Software Development, Cloud Security, Virtual Machines, Data Storage Technologies, CI/CD, Continuous Deployment, Development Environment, Cloud Management, Application Deployment, Cloud Applications, Data Security, Cloud Computing, Microsoft Power Automate/Flow, Event-Driven Programming, C# (Programming Language)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      255 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      M

      Michigan State University

      Script Writing: Write a Pilot Episode for a TV or Web Series (Project-Centered Course)

      Skills you'll gain: Peer Review, Writing, Editing, Storytelling, Proofreading, Creativity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      772 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      M

      Microsoft

      Advanced AI and Machine Learning Techniques and Capstone

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Artificial Intelligence, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, Tensorflow, Deep Learning, MLOps (Machine Learning Operations), Artificial Neural Networks, Ethical Standards And Conduct, Microsoft Azure, Information Privacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      The Raspberry Pi Platform and Python Programming for the Raspberry Pi

      Skills you'll gain: Linux, Operating Systems, Integrated Development Environments, File Systems, Internet Of Things, Command-Line Interface, Development Environment, Embedded Systems, Python Programming, OS Process Management, User Interface (UI), Computer Hardware, UI Components

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      IBM

      Hands-on Introduction to Linux Commands and Shell Scripting

      Skills you'll gain: Linux Commands, Bash (Scripting Language), Shell Script, File Management, Unix Shell, Linux, File Systems, Unix Commands, Scripting, Linux Servers, Command-Line Interface, Linux Administration, Scripting Languages, Unix, Operating Systems, Network Protocols, OS Process Management, TCP/IP, Network Administration, Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft UX Design

      Skills you'll gain: Storyboarding, User Research, Information Architecture, User Experience Design, Design Thinking, Prototyping, Usability Testing, User Experience, Persona (User Experience), Wireframing, Design Research, User Interface and User Experience (UI/UX) Design, Interaction Design, Web Content Accessibility Guidelines, Human Centered Design, Figma (Design Software), Usability, User Interface (UI) Design, User Centered Design, Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      373 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      Imperial College London

      Introduction to Statistics & Data Analysis in Public Health

      Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, Statistical Software, R Programming, Statistics, Public Health, Descriptive Statistics, Probability Distribution, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Washington

      Business English: Meetings

      Skills you'll gain: Proposal Writing, Taking Meeting Minutes, Business Writing, Business Correspondence, Meeting Facilitation, Setting Appointments, Management Reporting, Business Reporting, Writing, Oral Expression, Business Communication, English Language, Office Procedures, Verbal Communication Skills, Oral Comprehension, Telephone Skills, Vocabulary, Scheduling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      SAS

      Machine Learning Rock Star – the End-to-End Practice

      Skills you'll gain: Predictive Modeling, Data Ethics, Predictive Analytics, Machine Learning, Technical Management, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Business Leadership, Performance Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      188 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The George Washington University

      Essentials in Clinical Simulations Across the Health Professions

      Skills you'll gain: Clinical Experience, Patient Education And Counseling, Virtual Environment, Medical Equipment and Technology, Health Technology, Business Planning, Continuous Quality Improvement (CQI), Technical Communication, System Implementation, Education Software and Technology

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

      Intermediate · Course · 1 - 3 Months

    • U

      University of Alberta

      Software Processes and Agile Practices

      Skills you'll gain: Agile Methodology, Kanban Principles, Agile Software Development, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Engineering, Process Driven Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.3K reviews

      Mixed · Course · 1 - 4 Weeks

    Applied Machine Learning learners also search

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

    • Introduction to Deep Learning: University of Colorado Boulder
    • Microsoft Azure Developer Associate (AZ-204) Exam Prep: Microsoft
    • Script Writing: Write a Pilot Episode for a TV or Web Series (Project-Centered Course): Michigan State University
    • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
    • The Raspberry Pi Platform and Python Programming for the Raspberry Pi: University of California, Irvine
    • Hands-on Introduction to Linux Commands and Shell Scripting: IBM
    • Microsoft UX Design: Microsoft
    • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
    • Business English: Meetings: University of Washington
    • Machine Learning Rock Star – the End-to-End Practice: SAS

    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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