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

Pontificia Universidad Católica de Chile
Certificado en Introducción a la Ciencia de Datos
Skills you'll gain: Leadership and Management, Strategy, Finance, Financial Analysis, Data Analysis, General Statistics, Machine Learning, Python Programming
Credit offered
Mastertrack · 6 - 12 Months
Packt
Architecture and Virtualization
Intermediate · Course · 1 - 4 Weeks
Pontificia Universidad Católica de Chile
Magíster en Ciencia de Datos
Skills you'll gain: Business Analysis, Exploratory Data Analysis, Leadership and Management, Decision Making, Strategy, Data Analysis, Finance, Financial Analysis, General Statistics, Interactive Data Visualization, Probability & Statistics, Probability Distribution, Statistical Machine Learning, Computer Programming, Data Mining, Machine Learning, Microsoft Excel, Python Programming, R Programming, SQL
Earn a degree
Degree · 1 - 4 Years
Packt
Designing Data Storage and Integration Solutions in Azure
Skills you'll gain: Microsoft Azure, Data Integration, Relational Databases, Data Storage, Cloud Storage, Disaster Recovery, Data Infrastructure, Database Architecture and Administration, NoSQL, Database Design, Data Security, Data Management, Scalability, Identity and Access Management, Encryption
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Master of Science in Data Science
Skills you'll gain: Algorithms, Leadership and Management, Mathematics, Probability & Statistics, General Statistics, Problem Solving, Theoretical Computer Science, Computer Programming, Communication, Databases, Critical Thinking, Data Structures, Data Management, Estimation, Finance, Data Analysis, Design and Product, Research and Design, Systems Design, Mathematical Theory & Analysis, Database Design, Hardware Design, Writing, Data Model, Project Management, Strategy and Operations, Machine Learning, Probability Distribution, SQL, Computational Logic, Decision Making, Strategy, Database Theory, Database Administration, PostgreSQL, Computer Architecture, Operating Systems, Computational Thinking, Computer Programming Tools, Graph Theory, Planning, Process Analysis, Internet Of Things, Statistical Tests, Correlation And Dependence, Database Application, Financial Analysis, Statistical Analysis, Algebra, Business Communication, Machine Learning Algorithms, Product Management, Regression, Computer Networking, Agile Software Development, Business Analysis, Data Visualization, Product Design, Professional Development, Statistical Machine Learning, Accounting, Business Process Management, Cost Accounting, Creativity, Linear Algebra, Python Programming, Material Handling, People Management, Programming Principles, Statistical Programming, System Programming, Deep Learning, Calculus, Investment Management, Organizational Development, Risk Management, Computer Vision, Business Design, Entrepreneurship, Experiment, Performance Management, Product Development, Scrum (Software Development), System Security, Network Architecture, Business Intelligence, Differential Equations, Exploratory Data Analysis, Financial Accounting, Network Security, Product Lifecycle, System Software, Visual Design, Cloud Computing, Microarchitecture, Financial Management, Graphic Design, Supply Chain and Logistics, Security Engineering, Big Data, Collaboration, Distributed Computing Architecture, Innovation, Marketing, Software Engineering, Software Security, Software Testing, Amazon Web Services, Cloud Applications, Cloud Platforms, Cloud Standards, Security Strategy, Linux, Adaptability, Applied Mathematics, Budget Management, Leadership Development, Network Analysis, Operations Management, Market Research, NoSQL, Data Mining, Negotiation, Product Strategy, R Programming, Software Architecture, Software-Defined Networking, Dimensionality Reduction, Forecasting, Kubernetes, Business, Computer Science, Data Science, Data Warehousing, Java Programming, Resilience
Earn a degree
Degree · 1 - 4 Years
Status: Free
EDUCBA
The Future of Farming: IoT-Enabled Farming - Deprecated
Skills you'll gain: Cloud Computing
Intermediate · Course · 1 - 4 Weeks
Packt
Cloud Deployment
Intermediate · Course · 1 - 4 Weeks
Packt
Advanced Security Architecture
Advanced · Course · 1 - 4 Weeks
Packt
Cisco CCNP Enterprise ENCOR (350-401)
Intermediate · Specialization · 1 - 3 Months
Packt
CompTIA Linux+ (XK0-005)
Intermediate · Specialization · 1 - 3 Months
Packt
Security Operations
Advanced · Course · 1 - 4 Weeks
Packt
Foundations of Information Security and Incident Handling
Skills you'll gain: Risk Management
Intermediate · Course · 1 - 4 Weeks