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

Explore the Applied Machine Learning Course Catalog

Packt
Computer Vision: Face Recognition Quick Starter in Python
Skills you'll gain: Computer Vision, Image Analysis, Real Time Data, Python Programming, Algorithms, Computer Programming, Machine Learning Algorithms, Development Environment, Deep Learning, Software Installation, System Configuration
Beginner · Course · 3 - 6 Months
Google Cloud
MLOps with Vertex AI: Manage Features - 日本語版
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Modeling, Continuous Deployment, Applied Machine Learning, Data Processing, Data Management, Data Storage
Intermediate · Course · 1 - 4 Weeks
Packt
Python for Finance: Investment Fundamentals & Data Analytics
Skills you'll gain: Portfolio Management, Financial Modeling, Regression Analysis, Financial Analysis, Investment Management, Risk Analysis, Trend Analysis, Statistical Analysis, Financial Forecasting, Object Oriented Programming (OOP), Python Programming, Data Analysis, Simulations, Programming Principles, Pandas (Python Package), NumPy, Matplotlib, Jupyter
Intermediate · Course · 3 - 6 Months
University of Maryland, College Park
Making Evidence-Based Strategic Decisions
Skills you'll gain: Digital Transformation, Data-Driven Decision-Making, Business Transformation, Employee Engagement, Analytics, Data Quality, Business Analytics, Strategic Decision-Making, Technology Strategies, Microsoft Power Platform, Data Analysis, Advanced Analytics, Big Data, Customer Engagement, Business Modeling, Artificial Intelligence, Competitive Analysis, Deep Learning
Beginner · Course · 1 - 3 Months
Status: Free
Coursera Instructor Network
GenAI for Risk Management Essentials
Skills you'll gain: Enterprise Risk Management (ERM), Risk Management Framework, Risk Management, Business Risk Management, Project Risk Management, Operational Risk, Compliance Management, Risk Mitigation, Risk Analysis, Regulatory Compliance, Governance, Artificial Intelligence, Ethical Standards And Conduct
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Sort and Filter Data in SQL using MySQL Workbench
Skills you'll gain: MySQL, MySQL Workbench, SQL, Data Manipulation, Database Management, Query Languages, Relational Databases
Intermediate · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Universal Theories
Skills you'll gain: Physics, Physical Science, Mathematical Modeling, Advanced Mathematics, Applied Mathematics
Beginner · Course · 1 - 4 Weeks
LearnQuest
Integrating Test-Driven Development into Your Workflow
Skills you'll gain: Continuous Delivery, Continuous Deployment, Continuous Integration, Test Driven Development (TDD), CI/CD, Agile Methodology, Test Automation, Unit Testing, Software Development, Software Testing, Debugging, Python Programming, Version Control
3.8
Rating, 3.8 out of 5 stars
12 reviews
Intermediate · Course · 1 - 4 Weeks
LearnKartS
Core Java - Advanced Fundamentals
Skills you'll gain: JUnit, Unit Testing, Java Programming, Debugging, Java, Maintainability, Software Development, Secure Coding, Software Testing, Test Case, Authentications, Application Security, Cryptography, Object Oriented Programming (OOP), Integrated Development Environments, Encryption, Data Structures, File Management
5
Rating, 5 out of 5 stars
8 reviews
Beginner · Course · 1 - 4 Weeks
LearnKartS
Advanced Kubernetes
Skills you'll gain: Kubernetes, Application Deployment, Cloud-Native Computing, CI/CD, Scalability, Containerization, YAML, Performance Tuning, Configuration Management
4.1
Rating, 4.1 out of 5 stars
10 reviews
Intermediate · Course · 1 - 4 Weeks
Illinois Tech
Cloud: Platform as a Service - Master's
Skills you'll gain: Platform As A Service (PaaS), Containerization, Serverless Computing, Cloud Platforms, Docker (Software), Cloud Computing Architecture, Cloud Computing, Information Management, Cloud Infrastructure, Cloud Security, Application Deployment, DevOps, Amazon Web Services, Microservices, Database Management, Machine Learning, Scalability
Build toward a degree
Intermediate · Course · 1 - 3 Months
Google Cloud
ML Pipelines on Google Cloud en Español
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Apache Airflow, Data Pipelines, Kubernetes, Tensorflow, Continuous Deployment, Continuous Integration, Metadata Management, PyTorch (Machine Learning Library), Containerization, Performance Tuning, Machine Learning
Advanced · Course · 1 - 3 Months