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
Advanced Resource and Enterprise Management in Primavera P6
Skills you'll gain: Earned Value Management, Resource Planning, Resource Allocation, Resource Management, Capacity Planning, Scheduling, Resource Utilization, Project Performance, Project Schedules, Project Management Software, Project Controls, Project Management, Project Coordination, Cost Management, Change Control, Expense Management, Enterprise Resource Planning, Management Reporting, Work Breakdown Structure
4.7
Rating, 4.7 out of 5 stars
11 reviews
Advanced · Course · 1 - 3 Months
Packt
REST APIs with Flask and Python in 2024
Skills you'll gain: Version Control, Git (Version Control System), Application Deployment, Restful API, Docker (Software), Database Management, Flask (Web Framework), Object-Relational Mapping, Application Programming Interface (API), JSON, Authentications, Web Development, Programming Principles, Python Programming, Back-End Web Development, Object Oriented Programming (OOP), Secure Coding, Data Structures
Intermediate · Course · 1 - 3 Months
University of Pennsylvania
Statistics for Data Science Essentials
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
4.7
Rating, 4.7 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Google Cloud
Create Image Captioning Models - Español
Skills you'll gain: Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Artificial Neural Networks
Advanced · Course · 1 - 4 Weeks
Status: Free
Columbia University
Attaining Higher Education
Skills you'll gain: Higher Education, Personal Development, Self-Awareness, Goal Setting, Lifelong Learning, Decision Making, Planning, Willingness To Learn, Professional Development, Fiscal Management
Beginner · Course · 1 - 3 Months
Status: Free
The Hong Kong University of Science and Technology
My Favorite Lectures @ HKUST
Skills you'll gain: Computer Networking, Teaching, Student Engagement, Pedagogy, Multimedia, Instructional Strategies, Cultural Diversity, Life Sciences, Psychology
Beginner · Course · 1 - 3 Months
MathWorks
Designing and Simulating Physical Models
Skills you'll gain: Systems Integration, Engineering Design Process, Simulation and Simulation Software, Mathematical Modeling, Engineering Analysis, Matlab, Engineering Software, Engineering, Mechanical Engineering, Electrical and Computer Engineering
Beginner · Course · 1 - 4 Weeks
Imperial College London
Master of Science in Machine Learning and Data Science
Skills you'll gain: Supervised Learning, Data Ethics, Unsupervised Learning, Exploratory Data Analysis, PySpark, Bayesian Statistics, Ggplot2, Dimensionality Reduction, Linear Algebra, Big Data, Anomaly Detection, Data Analysis, Data Visualization, A/B Testing, Data Transformation, Deep Learning, Unstructured Data, Data Pipelines, Applied Machine Learning, Learning Strategies
Earn a degree
Degree · 1 - 4 Years
Status: Free
Coursera Instructor Network
GenAI for Market Research Analysts
Skills you'll gain: Competitive Analysis, Market Research, Market Analysis, Customer Analysis, Generative AI, Market Intelligence, Marketing Analytics, Customer Insights, Persona Development, Trend Analysis, Analytics, Business Analysis, Data Analysis, Forecasting, User Feedback, Accountability, Ethical Standards And Conduct
4.1
Rating, 4.1 out of 5 stars
7 reviews
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français
Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, Applied Machine Learning, Google Cloud Platform, Performance Testing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Use Python Unit Test to Demonstrate TDD
Skills you'll gain: Test Driven Development (TDD), Unit Testing, Development Testing, Test Case, Software Testing, Python Programming, File Systems
4
Rating, 4 out of 5 stars
7 reviews
Intermediate · Guided Project · Less Than 2 Hours
Packt
Building a ChatGPT AI with JavaScript - A Code-Along Guide
Skills you'll gain: Web Development, React.js, Web Applications, Development Environment, Machine Learning Methods, Cascading Style Sheets (CSS), User Interface (UI), OpenAI, Artificial Intelligence, Application Security, Application Development, Debugging, Node.JS, Javascript, Application Programming Interface (API)
Beginner · Course · 1 - 3 Months