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 Michigan
Applied Machine Learning in Python
Skills you'll gain: Algorithms, Machine Learning, Machine Learning Algorithms, Python Programming, Applied Machine Learning, Statistical Machine Learning, Data Analysis, Regression, Human Learning, Statistical Programming, Computer Programming
4.6
Rating, 4.6 out of 5 stars
8.5K reviews
Intermediate · Course · 1 - 4 Weeks
Multiple educators
Machine Learning
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Deep Learning, Machine Learning Software, Artificial Neural Networks, Human Learning, Statistical Machine Learning, Python Programming, Regression, Mathematics, Tensorflow, Decision Making, Critical Thinking, Network Model, Reinforcement Learning
Build toward a degree
4.9
Rating, 4.9 out of 5 stars
29K reviews
Beginner · Specialization · 1 - 3 Months
University of Washington
Machine Learning
Skills you'll gain: Machine Learning, Algorithms, Machine Learning Algorithms, Human Learning, Applied Machine Learning, Statistical Machine Learning, Python Programming, Probability & Statistics, Regression, Data Analysis, Machine Learning Software, Mathematics, Problem Solving, Computer Programming, Decision Making, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
16K reviews
Intermediate · Specialization · 3 - 6 Months
IBM
IBM Machine Learning
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Human Learning, Statistical Machine Learning, Data Analysis, Probability & Statistics, Applied Machine Learning, Algorithms, Forecasting, Statistical Analysis, Deep Learning, General Statistics, Python Programming, Regression, Machine Learning Software, Artificial Neural Networks, Exploratory Data Analysis, Feature Engineering, Correlation And Dependence, Dimensionality Reduction, Statistical Tests, Reinforcement Learning, Statistical Programming, Databases, Network Model
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
2.7K reviews
Intermediate · Professional Certificate · 3 - 6 Months
DeepLearning.AI
Supervised Machine Learning: Regression and Classification
Skills you'll gain: Machine Learning, Machine Learning Algorithms, Regression, Applied Machine Learning, Algorithms, Statistical Machine Learning, Mathematics, Critical Thinking, Machine Learning Software, Python Programming
4.9
Rating, 4.9 out of 5 stars
24K reviews
Beginner · Course · 1 - 4 Weeks
IBM
Machine Learning with Python
Skills you'll gain: Machine Learning, Algorithms, Data Analysis, Human Learning, Python Programming, Regression
4.7
Rating, 4.7 out of 5 stars
16K reviews
Intermediate · Course · 1 - 3 Months
Alberta Machine Intelligence Institute
Introduction to Applied Machine Learning
Skills you'll gain: Applied Machine Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Data Analysis
4.7
Rating, 4.7 out of 5 stars
737 reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
Introduction to Machine Learning
Skills you'll gain: Artificial Neural Networks, Machine Learning, Natural Language Processing, Python Programming, Regression
4.7
Rating, 4.7 out of 5 stars
3.6K reviews
Intermediate · Course · 1 - 3 Months
Google Cloud
Applying Machine Learning to your Data with Google Cloud
Skills you'll gain: Applied Machine Learning, Big Data, Cloud Computing, Data Analysis, Google Cloud Platform, Human Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, SQL
4.7
Rating, 4.7 out of 5 stars
1.1K reviews
Beginner · Course · 1 - 3 Months
Microsoft
Microsoft Azure Machine Learning for Data Scientists
Skills you'll gain: Algorithms, Applied Machine Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Microsoft Azure, Cloud Computing, Regression, Training
4.3
Rating, 4.3 out of 5 stars
152 reviews
Intermediate · Course · 1 - 4 Weeks
Microsoft
Microsoft Azure Machine Learning
Skills you'll gain: Algorithms, Applied Machine Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Microsoft Azure, Cloud Computing, Regression, Training
4.4
Rating, 4.4 out of 5 stars
203 reviews
Beginner · Course · 1 - 4 Weeks
University of Washington
Machine Learning Foundations: A Case Study Approach
Skills you'll gain: Algorithms, Applied Machine Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Data Analysis, Machine Learning Software, Statistical Machine Learning, Python Programming, Problem Solving, Computer Programming, Regression
4.6
Rating, 4.6 out of 5 stars
13K reviews
Mixed · Course · 1 - 3 Months