Coursera Machine Learning Courses – Your One-Stop Guide
Coursera, a leading online platform for upskilling, offers a curated selection of machine learning courses that can help you advance your career. Our blog lists some of the best rated machine learning courses to help you pick the best course.
A study by the McKinsey Global Institute suggests that machine learning and artificial intelligence could contribute an additional global economic activity of around $13 trillion by 2030, or about 16% higher cumulative GDP compared with today. Digital assistants like Google Assistant or Mycroft on Android smartphones, Siri on iPhones and iPads, and smart speakers like the Amazon Echo and Google Home are already using AI and its subfields, including machine learning and deep learning for natural language processing and speech recognition, paving high demands for machine learning courses.
We have curated some of the best machine learning courses from Coursera, one of the most coveted online platforms for upskilling. These Coursera machine learning courses are handpicked and can help your career growth.
To learn about machine learning, read our blog – What is machine learning?
Top Coursera Machine Learning Courses
You may find some deep learning content among these machine learning courses, but they majorly cover machine learning content. If you wish to explore deep learning courses from the best platform, read our blog.
You may also be interested in exploring:
Recommended Prerequisites
Since machine learning is an advanced discipline, the courses may need the course takers to have some experience or knowledge of programming, calculus, linear algebra, and statistics, or even data science.
Best-suited Machine Learning courses for you
Learn Machine Learning with these high-rated online courses
Machine Learning by Stanford University
This course by Andrew Ng, who is regarded as the godfather of machine learning education, is the highest-rated (4.9) Coursera machine learning course. You will learn how to apply machine learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Grab it, its free!
Also Read – Best Machine Learning Books for Beginners
Machine Learning with Python by IBM
Data Scientists, Data Analysts, Machine Learning Engineers, Risk Managers, Data Engineers, etc., can take up this course. You will learn about applications of Machine Learning in different fields such as health care, banking, telecommunication, etc. Machine Learning with Python also talks about the advantages of using Python libraries for implementing Machine Learning models.
Machine Learning Specialization by the University of Washington
This is a specialized course designed for course takers at immediate levels. The course includes several practical case studies to help you gain applied experience in major areas of Machine Learning, including Prediction, Classification, Clustering, and Information Retrieval. Since it’s a specialization, the course content is vast. It helps you gain skills to be able to analyze large and complex datasets, create better systems, and build intelligent applications that can make predictions from data.
Structuring Machine Learning Projects by DeepLearning.AI
Structuring Machine Learning Projects is a course from the Deep Learning Specialization by DeepLearning.AI. The course will help you build a successful machine learning project and practice decision-making as a machine learning project leader.
You May Like – Steps to Create Your Own Machine Learning Models
Machine Learning Foundations: A Case Study Approach by the University of Washington
The course is a part of the IBM AI Enterprise Workflow Certification specialization and is designed for data science practitioners with expertise in building machine learning models. It aims to sharpen the skills in building and deploying AI in large enterprises through different lectures and case studies focusing on natural language processing and image analysis to provide a realistic context for the model pipelines.
Machine Learning Algorithms with R in Business Analytics by the University of Illinois at Urbana-Champaign
Machine Learning Algorithms with R gives you the conceptual foundation of machine learning algorithms. Using those algorithms, you will also learn how to draw actionable insights related to business problems. You can also get your hands dirty using R and RStudio to run these algorithms and communicate the results using R notebooks.
Supervised Machine Learning: Regression by IBM
Supervised Machine Learning: Regression is a part of two specializations, IBM Machine Learning Professional Certificate and IBM Introduction to Machine Learning Specialization. The course can be taken up by aspiring data scientists looking forward to acquiring hands-on experience with Supervised Machine Learning Regression techniques in a business setting.
Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership by SAS
This specialization by Eric Siegel – Founder of Predictive Analytics World and Deep Learning World, is an interesting take on the end-to-end implementation of machine learning. This course will guide you to lead or participate in the end-to-end implementation of machine learning, especially predictive analytics. You will learn to manage machine learning projects and plan for a path to operational deployment.
Introduction to Embedded Machine Learning by Edge Impulse
The course requires you to know math, including plots, arithmetic, algebra, and embedded systems. You will get an overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers, also known as embedded machine learning or TinyML.
Machine Learning for Accounting with Python by the University of Illinois at Urbana-Champaign
Machine Learning for Accounting with Python is part of the Accounting Data Analytics Specialization. In this course, you will learn about machine learning algorithms (models), classification, regression, clustering, text analysis, time series analysis, etc., and their applications in accounting problems. If you are looking forward to applying proper machine learning models on business-related datasets with Python to solve various problems, then this course is for you.
Conclusion
This article is a part of our series of flagship articles listing the best courses for particular skills. I will keep updating the article to help you make the best learning decisions. If you wish to explore more related course-based articles, then the list below can be useful.
- Free Deep Learning Courses from Top e-learning Platforms
- Best Rated Data Science Courses on Coursera
- Top Free Data Science Courses
- Data Analytics Courses from Coursera, Edx, WileyNXT, and Jigsaw
- Top Online Harvard University Data Science Courses
- Python for Data Science Courses to Take Up in 2021
- Top Free Artificial Intelligence Courses to Sharpen Your Analytical Mind
- Data Engineering Courses from the Most Popular Edutech Platforms
Rashmi is a postgraduate in Biotechnology with a flair for research-oriented work and has an experience of over 13 years in content creation and social media handling. She has a diversified writing portfolio and aim... Read Full Bio
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