Why is it important to learn 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.

What career opportunities can arise from learning applied machine learning?

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.

How can online courses on Coursera help me learn applied machine learning?

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.

What are the benefits of taking an online Applied Machine Learning course?

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.

What Applied Machine Learning courses are best for training and upskilling employees or the workforce?

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 .

Top Applied Machine Learning Courses - Learn Applied Machine Learning Online

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Explore the Applied Machine Learning Course Catalog

Status: New
Packt
App Deployment, Security & Infrastructure Automation
Skills you'll gain: Open Web Application Security Project (OWASP), Infrastructure as Code (IaC), Application Deployment, CI/CD, Docker (Software), Containerization, DevOps, Cloud Development, Continuous Integration, Bash (Scripting Language), Continuous Deployment, Cloud Hosting, Platform As A Service (PaaS), IT Automation, Secure Coding, Unit Testing, Infrastructure As A Service (IaaS), Cloud Computing, Software Development, Network Security
Intermediate · Course · 1 - 4 Weeks
Status: New
Packt
Build a Developer Portfolio with SvelteKit & Sanity CMS
Skills you'll gain: Responsive Web Design, UI Components, Web Development, Web Design, Web Design and Development, Back-End Web Development, Front-End Web Development, Web Development Tools, Content Management Systems, Application Deployment
Intermediate · Course · 1 - 4 Weeks
Status: New
Packt
C# Object-Oriented Programming for Beginners in C# and .NET
Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, C# (Programming Language), Programming Principles, .NET Framework
Beginner · Course · 1 - 3 Months
Status: New
Packt
Data Management with SQL
Skills you'll gain: MySQL, SQL, Database Design, Database Management, Query Languages, Databases, Database Management Systems, Data Manipulation, Relational Databases, Data Management, Performance Tuning
Beginner · Course · 1 - 4 Weeks
Status: New
Board Infinity
Effective Code Review Practices
Skills you'll gain: Test Automation, Test Tools, Code Review, Software Testing, Continuous Integration, Scripting, CI/CD, Software Technical Review, Regression Testing, Test Planning, Maintainability, Test Case, Scalability, Version Control
Advanced · Course · 1 - 4 Weeks
Status: New
Board Infinity
Introduction to Continuous Improvement Process
Skills you'll gain: Statistical Process Controls, ISO 9000 Series, Product Quality (QA/QC), Quality Management Systems, Quality Management, Quality Improvement, Continuous Improvement Process, Continuous Quality Improvement (CQI), Quality Control, Process Capability, Quality Assurance, Process Improvement, Customer Insights, User Feedback, Customer Engagement, Lean Methodologies, Data-Driven Decision-Making
Beginner · Course · 1 - 4 Weeks
Status: New
Board Infinity
Jira Align Essentials
Skills you'll gain: Backlogs, Jira (Software), Scaled Agile Framework, Product Roadmaps, Sprint Planning, Product Management, Agile Project Management, Release Management, Performance Measurement, User Story, Agile Methodology, Dashboard, Business Transformation, Technical Management, Prioritization, Stakeholder Engagement, Innovation
Intermediate · Course · 1 - 4 Weeks
Status: New
LearnKartS
AWS Tools and Services for AI
Skills you'll gain: Generative AI, AWS SageMaker, ChatGPT, Amazon Web Services, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations)
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Responsible AI for Developers: Fairness & Bias - Polski
Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Google Cloud Platform, Machine Learning, Data Cleansing, Machine Learning Methods
Intermediate · Course · 1 - 3 Months
Status: New
Google Cloud
Menggunakan BigQuery Machine Learning untuk Inferensi
Beginner · Course · 1 - 4 Weeks
Google Cloud
Responsible AI for Developers: Fairness & Bias - Українська
Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Machine Learning, Data Validation, Analysis
Intermediate · Course · 1 - 3 Months
Status: New
LearnKartS
Responsible AI with AWS Security and Governance
Skills you'll gain: AWS Identity and Access Management (IAM), Data Governance, Identity and Access Management, AWS SageMaker, Data Ethics, Amazon Web Services, Generative AI, Cloud Security, Compliance Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, MLOps (Machine Learning Operations), Data Security, Regulation and Legal Compliance, Information Privacy, Ethical Standards And Conduct, Business Ethics, Machine Learning
Intermediate · Course · 1 - 4 Weeks