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

Results for "applied machine learning"

University of Minnesota
Software Development Lifecycle
Skills you'll gain: Software Engineering, Agile Software Development, Design and Product, Problem Solving, Software Architecture, Software Testing, Leadership and Management, Project Management, Scrum (Software Development), Software Engineering Tools, Continuous Delivery, Product Development, User Experience, Application Development, Planning, Collaboration, Estimation, Full-Stack Web Development, Computer Programming Tools, Graphics Software, Search Engine Optimization, Conflict Management, Investment Management
4.7
Rating, 4.7 out of 5 stars
9.5K reviews
Intermediate · Specialization · 3 - 6 Months
Louisiana State University
Master of Science in Construction Management
Earn a degree
Degree · 1 - 4 Years
IBM
Business Intelligence (BI) Essentials
Skills you'll gain: Databases, Python Programming, SQL, Data Management, Data Mining, Data Visualization, Data Warehousing, NoSQL, R Programming, Business Intelligence, Data Analysis
4.7
Rating, 4.7 out of 5 stars
188 reviews
Beginner · Course · 1 - 3 Months
Google
تحليلات البيانات من Google
Skills you'll gain: Computer Programming, Problem Solving, Python Programming, Programming Principles, Computer Programming Tools, Algebra, Computational Thinking, Exploratory Data Analysis, Mathematics, Data Analysis, Process Analysis, Differential Equations, Theoretical Computer Science, Critical Thinking, Data Analysis Software, Data Visualization, Databases, Decision Making, People Analysis, SQL, Communication
4.7
Rating, 4.7 out of 5 stars
280 reviews
Beginner · Professional Certificate · 3 - 6 Months
Louisiana State University
Master of Science in Civil Engineering
Earn a degree
Degree · 1 - 4 Years
University of Michigan
Python for Everybody
Skills you'll gain: Computer Programming, Python Programming, Computer Programming Tools, Programming Principles, Data Structures, Computational Thinking, Computational Logic, Data Analysis, Software Engineering, Algorithms, Critical Thinking, Problem Solving, Data Management, Database Application, Databases, Theoretical Computer Science, Database Administration, Data Model, Data Visualization, Database Design, Database Theory, Network Architecture, Web Development, Web Development Tools, Computer Networking, SQL, HTML and CSS
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
275K reviews
Beginner · Specialization · 3 - 6 Months
Universidad Austral
Aprende a programar con Python
Skills you'll gain: Computer Programming, Python Programming, Programming Principles, Computer Programming Tools, System Programming, Data Structures, Computational Logic, Algorithms, Databases, SQL, Mathematics, Computational Thinking, Software Engineering, Data Analysis, Problem Solving, Database Application, Database Administration, Data Management, Database Theory, Software Testing, Systems Design, Database Design, Theoretical Computer Science
4.5
Rating, 4.5 out of 5 stars
2.2K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Data Analysis with R
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Tests, Probability Distribution, R Programming, Statistical Programming, Basic Descriptive Statistics, Statistical Visualization, Bayesian Statistics, Exploratory Data Analysis, Plot (Graphics), Problem Solving, Critical Thinking, Correlation And Dependence, Regression, Bayesian Network, Computer Programming
4.7
Rating, 4.7 out of 5 stars
7.4K reviews
Beginner · Specialization · 3 - 6 Months
Status: [object Object]
Meta
Meta Marketing Analytics
Skills you'll gain: Marketing, Digital Marketing, Advertising, Marketing Management, Media Strategy & Planning, Data Analysis, Business Analysis, Market Analysis, Statistical Analysis, Communication, Experiment, Market Research, Brand Management, Forecasting, Probability & Statistics, Regression, Research and Design, Statistical Tests, Data Visualization, Basic Descriptive Statistics, Computer Programming, Data Management, Databases, General Statistics, Probability Distribution, Python Programming, SQL, Statistical Programming, Storytelling, Tableau Software
4.7
Rating, 4.7 out of 5 stars
3.2K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of California, Irvine
An Introduction to Programming the Internet of Things (IOT)
Skills you'll gain: Internet Of Things, Computer Programming, Computer Programming Tools, Hardware Design, Computer Networking, Programming Principles, Networking Hardware, Python Programming, System Programming, Communication, Computational Thinking, Computer Architecture, Operating Systems, Microarchitecture, Systems Design, C Programming Language Family, Human Computer Interaction, Network Architecture, Problem Solving, C++ Programming, Application Development, Graphics Software, Network Model, Software-Defined Networking, Operational Analysis
4.7
Rating, 4.7 out of 5 stars
20K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Genomic Data Science
Skills you'll gain: Bioinformatics, Computer Programming, Data Analysis, Python Programming, Computational Thinking, General Statistics, Exploratory Data Analysis, R Programming, Algorithms, Computer Programming Tools, Data Analysis Software, Biostatistics, Statistical Analysis, Programming Principles, Probability & Statistics, Statistical Tests, Data Structures, Operating Systems, Research and Design, Big Data, Computational Logic, Problem Solving, Statistical Programming, Experiment, Basic Descriptive Statistics, Correlation And Dependence
4.5
Rating, 4.5 out of 5 stars
6.5K reviews
Intermediate · Specialization · 3 - 6 Months
Louisiana State University
Master of Science in Leadership and Human Resource Development
Earn a degree
Degree · 1 - 4 Years