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

University of Michigan
Translating Research to Healthcare Policy
Skills you'll gain: Policy Development, Policy Analysis, Advocacy, Health Care, Public Policies, Healthcare Industry Knowledge, Medical Science and Research, Health Systems, Research
4.3
Rating, 4.3 out of 5 stars
10 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Using BigQuery Machine Learning for inference
Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Google Cloud Platform, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 4 Weeks
Google Cloud
Responsible AI for Developers: Fairness & Bias
Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Ethical Standards And Conduct, Open Source Technology, Data Analysis
4.5
Rating, 4.5 out of 5 stars
10 reviews
Intermediate · Course · 1 - 3 Months
Google Cloud
Digital Transformation with Google Cloud - בעברית
Skills you'll gain: Innovation, Digital Transformation, Business Transformation, Organizational Change, Cloud Computing, Cloud Solutions, Google Cloud Platform, Technology Strategies, Business Solutions, User Research, Data Management, Artificial Intelligence and Machine Learning (AI/ML)
4.7
Rating, 4.7 out of 5 stars
10 reviews
Beginner · Course · 1 - 3 Months
Google Cloud
Introduction to AI and Machine Learning on GC - Italiano
Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Cloud Computing, Machine Learning, Natural Language Processing, Supervised Learning
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Mastering Neural Networks and Model Regularization
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision
Intermediate · Course · 1 - 3 Months
Coursera Project Network
Expand Employee Interaction with Canvas
Skills you'll gain: Hypertext Markup Language (HTML), Course Development, Team Building, HTML and CSS, Collaboration, Interactive Design, Content Management
4.8
Rating, 4.8 out of 5 stars
6 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Coursera Project Network
Product Recommender System: OpenAI Text Embedding
Skills you'll gain: Data Analysis, Generative AI, Exploratory Data Analysis, OpenAI, Data Manipulation, Text Mining, Data Visualization, Applied Machine Learning, Python Programming, Dimensionality Reduction
Intermediate · Guided Project · Less Than 2 Hours
University of Michigan
Uso de bancos de dados com Python
Skills you'll gain: SQL, Database Management, Relational Databases, Databases, Database Systems, Database Design, Data Visualization, Web Scraping, Data Processing, Object Oriented Programming (OOP), Data Modeling, Data Storage, Python Programming, Web Development
Mixed · Course · 1 - 3 Months
University of Michigan
파이썬의 데이터 과학 소개
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Data Transformation, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Instructor Network
Algorithmic Solutions: Design, Problem Solving, Reporting
Skills you'll gain: Algorithms, Technical Communication, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Problem Management, Applied Mathematics
Beginner · Course · 1 - 4 Weeks
Packt
Offensive Hacking Unfolded - Become a Pro Pentester
Skills you'll gain: Penetration Testing, Vulnerability Assessments, Vulnerability Scanning, Cyber Security Assessment, Vulnerability Management, Security Controls, Security Testing, Virtual Machines, Application Security, Technical Documentation, Data Security, Web Servers, Linux
Beginner · Course · 1 - 3 Months