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

Imperial College London
Migration and health
Skills you'll gain: Health Systems, Health Care, Epidemiology, International Relations, Economics, Policy, and Social Studies, Governance, Health Assessment, Cultural Responsiveness, Public Policies, Policy Analysis
Beginner · Course · 1 - 3 Months
Copenhagen Business School
Art and the Digital Transformation
Skills you'll gain: Social Justice, Public Policies, Liberal Arts, Digital Transformation, Advocacy, Community Development, Policy Development, Innovation, Creativity, Design Thinking, Media and Communications, Data Ethics, Technology Strategies, Cultural Diversity, Diversity Equity and Inclusion Initiatives
Beginner · Course · 1 - 3 Months
Google Cloud
Set Up Network and HTTP Load Balancers
Skills you'll gain: Load Balancing, Google Cloud Platform, Cloud Computing, Virtual Machines, Cloud Infrastructure, Web Servers, Servers, Network Routing
4.8
Rating, 4.8 out of 5 stars
10 reviews
Beginner · Project · Less Than 2 Hours
Status: Free
Coursera Instructor Network
Building Trust: Ethics for AI-powered Chatbots
Skills you'll gain: Data Ethics, Business Ethics, Ethical Standards And Conduct, Artificial Intelligence, Information Privacy, Machine Learning, Personally Identifiable Information, Accountability, Data Governance, Diversity and Inclusion, Algorithms
Beginner · Course · 1 - 4 Weeks
Simplilearn
Deep Learning Frameworks and Neural Networks Simplified
Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Application Frameworks, Artificial Intelligence, Network Model, Machine Learning
Beginner · Course · 1 - 4 Weeks
Codio
Go for Python Developers
Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Web Services, Web Frameworks, Debugging, Restful API, Other Programming Languages, Performance Tuning, Programming Principles
3.6
Rating, 3.6 out of 5 stars
10 reviews
Beginner · Course · 1 - 4 Weeks
Imperial College London
XR in Healthcare Education and Clinical Practice
Skills you'll gain: Augmented and Virtual Reality (AR/VR), Augmented Reality, Virtual Reality, Clinical Experience, Virtual Environment, Healthcare Industry Knowledge, Emerging Technologies, Business Systems Analysis, Innovation, User Centered Design
4.9
Rating, 4.9 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
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University at Buffalo
Capstone - Managing Board Change for Higher Levels of Leadership and Governance Effectiveness
Skills you'll gain: Peer Review, Governance, Consulting, Leadership and Management, Business Consulting, Non-Profit Accounting, Research Reports, Report Writing, Organizational Leadership, Performance Analysis, Leadership, Change Management, Organizational Effectiveness, Management Reporting, Analysis, Data Collection
4.4
Rating, 4.4 out of 5 stars
11 reviews
Mixed · Course · 1 - 3 Months
Status: Free
Coursera Instructor Network
GenAI for Data Analysts
Skills you'll gain: Generative AI, Data Analysis, Advanced Analytics, Real Time Data, Analytics, Analytical Skills, Data Transformation, Data Storytelling, Predictive Analytics, Feature Engineering, Data Cleansing, Data Processing, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks
Status: Free
DeepLearning.AI
Introducing Multimodal Llama 3.2
Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), API Design, Application Programming Interface (API), Open Source Technology, Image Analysis, Text Mining, Computer Vision
4.6
Rating, 4.6 out of 5 stars
10 reviews
Beginner · Project · Less Than 2 Hours
Status: Free
Coursera Instructor Network
Understanding Large Language Models in Business
Skills you'll gain: Trend Analysis, Real Time Data, Analytics, Business Strategy, Application Programming Interface (API), Generative AI, Technology Roadmaps, Business, Software Development, Business Technologies, Natural Language Processing, MarTech, Artificial Neural Networks, Content Marketing, Artificial Intelligence, Customer Service
4.6
Rating, 4.6 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
University of Glasgow
Generative AI in the Classroom for Educators
Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Human Learning, Digital Transformation, Emerging Technologies, Ethical Standards And Conduct, Technology Strategies
Beginner · Course · 1 - 4 Weeks