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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

      Convolutional Neural Networks in TensorFlow

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      IBM

      IBM Java Developer

      Skills you'll gain: Spring Framework, Cloud-Native Computing, Software Development Life Cycle, Hibernate (Java), Database Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Stored Procedure, Microservices, HTML and CSS, Object Oriented Programming (OOP), Spring Boot, Object-Relational Mapping, Development Environment, Version Control, Large Language Modeling, Java Programming, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • N

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      679 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Meta

      Meta Back-End Developer

      Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), Back-End Web Development, GitHub, Web Design and Development, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, Database Design, SQL, Unit Testing, Algorithms, Web Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Virginia

      Digital Product Management

      Skills you'll gain: Usability Testing, Agile Product Development, New Product Development, Continuous Delivery, Agile Software Development, User Story, Product Management, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, Customer Analysis, Innovation, Analytics, Business Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Columbia University

      Decision Making and Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability, Statistical Methods

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      DevOps, DataOps, MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Rust (Programming Language), DevOps, Applied Machine Learning, Cloud Solutions, CI/CD, Python Programming, Serverless Computing, Application Frameworks, Docker (Software), Generative AI Agents, GitHub, Command-Line Interface

      4.1
      Rating, 4.1 out of 5 stars
      ·
      164 reviews

      Advanced · Course · 1 - 3 Months

    • R

      Rutgers the State University of New Jersey

      Supply Chain Management

      Skills you'll gain: Strategic Sourcing, Lean Six Sigma, Lean Manufacturing, Demand Planning, Procurement, Supplier Relationship Management, Forecasting, Process Improvement, Supplier Management, Operations Management, Customer Demand Planning, Purchasing, Production Process, Supply Management, Operational Efficiency, Warehouse Management, Supply Chain Planning, Inventory and Warehousing, Inventory Management System, Transportation, Supply Chain, and Logistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      166 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Master Microsoft Office 365 and Power Platform

      Skills you'll gain: Microsoft Power Platform, Microsoft Copilot, Prompt Engineering, Microsoft Power Automate/Flow, Power BI, Multimedia, Microsoft PowerPoint, Dashboard, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Microsoft Outlook, Data Integration, Business Intelligence, Business Process Automation, Productivity Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      Meta Android Developer

      Skills you'll gain: React Native, Android Studio, Restful API, Version Control, UI/UX Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface and User Experience (UI/UX) Design, User Interface (UI), Mobile Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Applied DevOps Engineering

      Skills you'll gain: User Story, CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Agile Software Development, DevOps, Code Coverage, OpenShift, Cloud Applications, Containerization, Secure Coding, Grafana, System Monitoring, Agile Methodology

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.1K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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

    • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
    • IBM Java Developer: IBM
    • Guided Tour of Machine Learning in Finance: New York University
    • Meta Back-End Developer: Meta
    • Digital Product Management: University of Virginia
    • Decision Making and Reinforcement Learning: Columbia University
    • DevOps, DataOps, MLOps: Duke University
    • Supply Chain Management: Rutgers the State University of New Jersey
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Master Microsoft Office 365 and Power Platform: Microsoft

    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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