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

Google Cloud
Vector Search ve Yerleştirilmiş Öğeler
Skills you'll gain: Large Language Modeling, Text Mining, Google Cloud Platform, Information Architecture, Natural Language Processing, Applied Machine Learning, Machine Learning Methods, Algorithms
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Data Science Graduate Certificate
Skills you'll gain: Unsupervised Learning, Data Mining, Statistical Modeling, Supervised Learning, Deep Learning, Machine Learning Algorithms, Statistical Inference, Statistical Hypothesis Testing, Service Level, Performance Testing, Dimensionality Reduction, Probability, Applied Machine Learning, Data Warehousing, Statistical Machine Learning, Probability & Statistics, Data Pipelines, Data Processing, Bash (Scripting Language), Data Science
Credit offered
Graduate Certificate · 6 - 12 Months
Google Cloud
Smart Analytics, Machine Learning and AI on GC - 한국어
Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Applied Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing
Intermediate · Course · 1 - 3 Months
Status: New
Packt
Microsoft Sentinel Advanced Course - Secure Azure Like a Pro
Skills you'll gain: Infrastructure as Code (IaC), Microsoft Azure, Azure DevOps, Continuous Integration, Terraform, GitHub, Continuous Deployment, CI/CD, Debugging, Security Information and Event Management (SIEM), Windows PowerShell, Git (Version Control System), Data Management, Automation
Advanced · Course · 1 - 4 Weeks
Status: New
Google Cloud
BigQuery ML を推論に使用する
Skills you'll gain:
Beginner · Course · 1 - 4 Weeks
Status: New
Packt
Advanced ASP.NET Core MVC, Deployment & User Management
Skills you'll gain: User Accounts, ASP.NET, Authorization (Computing), Authentications, Application Deployment, Microsoft Azure, OAuth, Identity and Access Management, Microsoft Visual Studio, Role-Based Access Control (RBAC), Server Side, Database Management, UI Components
Advanced · Course · 1 - 4 Weeks
Google Cloud
Work with Gemini Models in BigQuery - 简体中文
Skills you'll gain: Applied Machine Learning, Big Data, Business Intelligence, Generative AI, Customer Relationship Management, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), SQL, Prompt Engineering, Data Analysis, Python Programming
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Work with Gemini Models in BigQuery - 繁體中文
Skills you'll gain: Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, SQL, Business Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks
Status: New
Packt
CertNexus Certified IoT Practitioner (ITP-110)
Skills you'll gain: Internet Of Things, Software Development Life Cycle, Systems Development, Information Systems Security, General Networking, Cloud Computing, Emerging Technologies, Safety and Security, Automation, Prototyping, Requirements Analysis, Project Planning
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, Full-Stack Web Development, Web Design and Development, Front-End Web Development, Web Development Tools, Cascading Style Sheets (CSS), Application Development, Content Management Systems, Application Deployment, Server Side, Hypertext Markup Language (HTML), Data Management
Intermediate · Course · 1 - 4 Weeks
Status: New
Packt
Advanced Web Exploits, Python Scripting & Network Attacks
Skills you'll gain: OSI Models, Penetration Testing, TCP/IP, Network Protocols, Cyber Security Assessment, Open Web Application Security Project (OWASP), Prompt Engineering, Cybersecurity, Vulnerability Scanning, Scripting, Large Language Modeling, Vulnerability Assessments, SQL, Python Programming
Intermediate · Course · 1 - 3 Months
Status: New
Packt
Accelerate Terraform Development with GitHub Copilot and AI
Skills you'll gain: Infrastructure as Code (IaC), Terraform, Microsoft Copilot, Development Environment, DevOps, Integrated Development Environments, Software Development Tools, Generative AI, Git (Version Control System), Software Documentation
Intermediate · Course · 1 - 3 Months