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

Codio
Java: Non-Linear Data Structures
Skills you'll gain: Data Structures, Algorithms, Java, Theoretical Computer Science, Programming Principles, Performance Tuning, Computer Programming
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Visme pour les débutants
Skills you'll gain: Presentations, Data Visualization, Marketing Materials, Content Creation, Marketing Design, Marketing Collateral, User Accounts
Beginner · Guided Project · Less Than 2 Hours
Google Cloud
Monitor an Apache Web Server using Ops Agent
Skills you'll gain: Google Cloud Platform, Apache, System Monitoring, Virtual Machines, Web Servers, System Configuration
Beginner · Project · Less Than 2 Hours
Status: New
Board Infinity
Advanced Concepts in React Native Development
Skills you'll gain: React Native, Jest (JavaScript Testing Framework), UI Components, Mobile Development, User Interface and User Experience (UI/UX) Design, Unit Testing, Development Testing, Data Security, iOS Development, React Redux, Debugging, Android (Operating System), Cross Platform Development, Integration Testing, Application Security, Performance Tuning
Intermediate · Course · 1 - 4 Weeks
Status: Free
University of Pennsylvania
로봇공학: 캡스톤 디자인
Skills you'll gain: Robotic Process Automation, Automation, Artificial Intelligence, Matlab, Simulation and Simulation Software, Control Panels, Engineering, Computer Vision, Mathematical Modeling, Embedded Systems, Python Programming, Algorithms, Estimation, Differential Equations, Linear Algebra
Mixed · Course · 1 - 3 Months
Packt
Raspberry Pi and Arduino — Go to the Next Level
Skills you'll gain: Internet Of Things, Serial Peripheral Interface, Electronic Hardware, Embedded Systems, Computer Hardware, Remote Access Systems, Electronic Components, Automation, Python Programming, Debugging, System Configuration, Software Installation
Intermediate · Course · 1 - 3 Months
Google Cloud
Configuring MongoDB Atlas with BigQuery Dataflow Templates
Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration, Data Migration
Intermediate · Project · Less Than 2 Hours
Status: New
Packt
Foundations of Information Security and Incident Handling
Skills you'll gain: Incident Response, Computer Security Incident Management, Threat Management, Vulnerability Management, Threat Modeling, Risk Management Framework, Security Management, Information Systems Security, Vulnerability Assessments, Information Assurance, Cybersecurity, Cyber Security Policies, Security Controls, Continuous Monitoring, Disaster Recovery, Technical Communication
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Machine Learning in the Enterprise - Português Brasileiro
Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Workflow Management, Data Management, Google Cloud Platform, Data Pipelines, Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning
Intermediate · Course · 1 - 3 Months
Google Cloud
Innovating with Google Cloud Artificial Intelligence - 日本語版
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Artificial Intelligence, Digital Transformation, Data Ethics, Data Quality, Machine Learning, Cloud API, Cloud Computing, Applied Machine Learning, Business Intelligence, Natural Language Processing
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free
Coursera Instructor Network
OpenCL Programming
Skills you'll gain: Scalability, C++ (Programming Language), Embedded Software, System Programming, Hardware Architecture, Computer Programming, Application Development, C (Programming Language), Application Performance Management, Artificial Intelligence, Simulations
Beginner · Course · 1 - 4 Weeks
Status: New
Status: Free
Coursera Instructor Network
GenAI for People and Talent Management
Skills you'll gain: Employee Performance Management, Workforce Planning, Talent Management, Performance Management, People Development, HR Tech, Human Resources, Training and Development, Workforce Management, Performance Analysis, Diversity and Inclusion, Leadership Development, Real Time Data
Intermediate · Course · 1 - 4 Weeks