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
Data Analysis in Python
Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Visualization, Data Cleansing, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Correlation Analysis, Python Programming, Programming Principles
Mixed · Course · 1 - 3 Months
Google Cloud
Introduction to AI and Machine Learning on GC - 简体中文
Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Cloud Development, Cloud API, Data Pipelines, Natural Language Processing
Beginner · Course · 1 - 3 Months
Status: New
Status: Free
Coursera Instructor Network
ChatGPT API for Developers: Integrate AI Effortlessly
Skills you'll gain: ChatGPT, Application Programming Interface (API), OpenAI, Authentications, Key Management, Artificial Intelligence, Python Programming, Performance Tuning, Data Security
Intermediate · Course · 1 - 3 Months
Status: New
Politecnico di Milano
Derivatives: a guide to calculation
Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, Advanced Mathematics, Applied Mathematics, Mathematics Education, Machine Learning Algorithms, Geometry, Mathematical Theory & Analysis, Graphical Tools
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Engineering Genetic Circuits: Abstraction Methods
Skills you'll gain: Markov Model, Mathematical Modeling, Engineering Analysis, Computational Thinking, Simulation and Simulation Software, Numerical Analysis, Differential Equations, Predictive Modeling, Applied Mathematics, Verification And Validation, Linear Algebra, Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months
Status: New
Scrimba
Learn Node.js
Skills you'll gain: Node.JS, JSON, Server Side, Web Applications, Back-End Web Development, Web Servers, Application Programming Interface (API), Restful API, Javascript, Package and Software Management, Software Design Patterns
Intermediate · Course · 1 - 4 Weeks
Scrimba
API Basics 3: Build a Game (Async JS, Callbacks & Promises)
Skills you'll gain: Event-Driven Programming, Ajax, Javascript, JSON
Intermediate · Course · 1 - 4 Weeks
Codio
Multimodal Generative AI: Vision, Speech, and Assistants
Skills you'll gain: OpenAI, Generative AI, Application Programming Interface (API), Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision
Beginner · Course · 1 - 4 Weeks
Status: New
Packt
Statistics & Mathematics for Data Science & Data Analytics
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Probability, Probability & Statistics, Statistics, Machine Learning Algorithms, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Analytics, Data Science, Probability Distribution, Random Forest Algorithm, Statistical Inference, Bayesian Statistics, Predictive Analytics, Predictive Modeling, Correlation Analysis, Analytical Skills
Intermediate · Course · 1 - 3 Months
Status: New
Packt
Designing Microsoft Azure Infrastructure Solutions (AZ-305)
Skills you'll gain: Microsoft Azure, Event-Driven Programming, Data Integration, Application Programming Interface (API), Cloud Computing Architecture, Load Balancing, Relational Databases, Cloud Infrastructure, Azure Active Directory, Authorization (Computing), API Design, Data Storage, Network Routing, Cloud Storage, Authentications, Infrastructure Security, Application Deployment, Disaster Recovery, Data Infrastructure, Cloud Security
Intermediate · Specialization · 3 - 6 Months
Packt
Master C# and SQL by Building Applications
Skills you'll gain: Microsoft SQL Servers, Stored Procedure, Database Management, SQL, Databases, C# (Programming Language), Database Design, Development Environment, User Interface (UI), Development Testing, Application Deployment, Data Management, Microsoft Visual Studio, Application Development, Software Design, UI/UX Strategy, Data Access, JSON, Extensible Markup Language (XML)
Intermediate · Course · 1 - 3 Months
Status: New
Packt
The Oracle Database Performance Tuning Course
Skills you'll gain: Oracle Databases, Performance Tuning, System Monitoring, Real Time Data, Operational Databases, SQL, Database Management, Database Architecture and Administration, Data Maintenance, Event Monitoring, Continuous Monitoring, Hardware Troubleshooting, Linux, Automation, Scalability
Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular applied machine learning courses

Data Analysis in Python: Codio
Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
ChatGPT API for Developers: Integrate AI Effortlessly: Coursera Instructor Network
Derivatives: a guide to calculation: Politecnico di Milano
Engineering Genetic Circuits: Abstraction Methods: University of Colorado Boulder
Learn Node.js: Scrimba
API Basics 3: Build a Game (Async JS, Callbacks & Promises): Scrimba
Multimodal Generative AI: Vision, Speech, and Assistants: Codio
Statistics & Mathematics for Data Science & Data Analytics: Packt
Designing Microsoft Azure Infrastructure Solutions (AZ-305): Packt

Applied Machine Learning Courses Online