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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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      HashiCorp Vault Foundations and Secrets Management

      Skills you'll gain: Key Management, Authentications, Hardening, Encryption, Data Security, Application Security, Security Controls, Role-Based Access Control (RBAC), Authorization (Computing), Identity and Access Management, Public Key Infrastructure, User Accounts, Configuration Management, Database Management, Command-Line Interface

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Agile Product Owner Level 1 – Certification & Mock Exams

      Skills you'll gain: Agile Product Development, Sprint Retrospectives, Agile Methodology, Jira (Software), Agile Project Management, Sprint Planning, Project Estimation, Backlogs, Project Management Software, Product Requirements, Product Management, User Story, Estimation, ChatGPT, Team Management, Artificial Intelligence, Prioritization, Continuous Improvement Process

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      .NET 8 Backend Bootcamp – Modulith, DDD & CQRS

      Skills you'll gain: Containerization, Restful API, Microservices, Redis, Authentications, PostgreSQL, OAuth, .NET Framework, Application Programming Interface (API), Object Oriented Design, Software Design Patterns, Software Design, Scalability, Software Architecture, Event-Driven Programming, C# (Programming Language), Middleware, Data Migration, Systems Architecture, Maintainability

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      F

      Fred Hutchinson Cancer Center

      Wrangling Computing Environments: Using Docker for Research

      Skills you'll gain: CI/CD, Containerization, Docker (Software), Development Environment, Application Deployment, Devops Tools, Debugging, GitHub, Software Versioning, Command-Line Interface, Software Installation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Docker and Kubernetes Masterclass: From Beginner to Advanced

      Skills you'll gain: Kubernetes, Docker (Software), Containerization, Cloud-Native Computing, Application Deployment, YAML, Devops Tools, Command-Line Interface, Google Cloud Platform, Web Applications, Cloud Infrastructure, Development Environment, Configuration Management, Nginx, CI/CD, Software Installation, Role-Based Access Control (RBAC), MongoDB, Service Management, Infrastructure Architecture

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Security Fundamentals & Network Automation

      Skills you'll gain: Ansible, Puppet (Configuration Management Tool), Software-Defined Networking, Network Security, Network Administration, Security Awareness, Threat Modeling, Chef (Configuration Management Tool), Information Systems Security, Virtual Private Networks (VPN), JSON, Authentications, Computer Networking, Network Architecture, Authorization (Computing), Automation, Configuration Management, Application Programming Interface (API)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Node-RED: IoT projects with ESP32, MQTT and Docker

      Skills you'll gain: Internet Of Things, Docker (Software), Interactive Data Visualization, Wireless Networks, Embedded Systems, Development Environment, Network Protocols, Node.JS, Low Voltage, Data Storage, Encryption, Automation, Debugging

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      B

      Board Infinity

      Introduction to JUnit

      Skills you'll gain: Object Oriented Programming (OOP), Eclipse (Software), Java Programming, Development Environment, Programming Principles, Computer Programming, Unit Testing, Debugging, Virtual Machines

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      .NET & .NET Core Mastery: Cross-Platform Development

      Skills you'll gain: Cloud Applications, Containerization, .NET Framework, Cross Platform Development, Application Deployment, Application Development, C# (Programming Language), Development Environment, Application Performance Management, Web Applications, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Salesforce Omnistudio

      Skills you'll gain: Spring Framework, Scalability, Software Architecture, Maintainability, Java, Dependency Analysis, Software Design Patterns, Object Oriented Programming (OOP), Testability, Transaction Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Developing RAG Apps with LlamaIndex and JS

      Skills you'll gain: Full-Stack Web Development, JavaScript Frameworks, Node.JS, Application Development, Data Maintenance, Restful API, Web Applications, Development Environment, Large Language Modeling, OpenAI, Generative AI, API Design, Application Deployment, Data Storage, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Starweaver

      Master Data Storytelling for B2B & B2C Sales

      Skills you'll gain: Data Storytelling, Storytelling, Sales Presentation, Customer Relationship Management (CRM) Software, Sales Strategy, Sales, Customer Relationship Management, B2B Sales, Customer Insights, Data Visualization Software, Dashboard, Business Intelligence, HubSpot CRM, Persuasive Communication, Business Analytics, Salesforce

      Beginner · 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

    • HashiCorp Vault Foundations and Secrets Management: Packt
    • Agile Product Owner Level 1 – Certification & Mock Exams: Packt
    • .NET 8 Backend Bootcamp – Modulith, DDD & CQRS: Packt
    • Wrangling Computing Environments: Using Docker for Research: Fred Hutchinson Cancer Center
    • Docker and Kubernetes Masterclass: From Beginner to Advanced: Packt
    • Security Fundamentals & Network Automation: Packt
    • Node-RED: IoT projects with ESP32, MQTT and Docker: Packt
    • Introduction to JUnit: Board Infinity
    • .NET & .NET Core Mastery: Cross-Platform Development: Coursera Instructor Network
    • Salesforce Omnistudio: Board Infinity

    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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