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It is quite difficult for students to find the best way to suit their needs with many Coursera Machine Learning courses. We are often asked by students whether there is a standard course of Coursera Machine Learning that fits every case. YES is the reply. You can participate in the following popular courses. Registering for the right course will make a major difference in your career growth. The best Coursera Machine Learning courses & classes of 2023 have been chosen by hand in this article.
Our focus is on highlighting their respective categories as the best and most popular courses.
You can select the one which best fits your needs depending on your use case.
Let us look at the best Coursera Machine Learning courses available on the market, however.
Table of Contents
Duration: Self-paced
Rating: 4.6 out of 5
It is a professional data science certification program offered by IBM and is designed to allow people to gain expertise and experience in data science or machine learning. The certification program consists of nine different courses teaching you the latest technology and innovations in data science, including open source tools, Python, SQL, data analysis, methodology , data visualization and machine learning. During all these classes, you will be given an IBM Professional Certification to help you get a job quickly in the field of data science.
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Duration: 55 hours, 5hours/week
Rating: 4.9 out of 5
This is Stanford University’s highest-rated Coursera Machine Learning courses, which will direct you to some of the most efficient techniques of machine learning and how these methods can be used for new problems. The course material offers an extensive overview to machine learning, data mining and recognition of statistical patterns. You should discuss subjects such as supervised learning, unsupervised learning and best practice in machine learning during the course. The professor, Andrew NG, is the founder and CEO of Landing AI – a technology company that relies on artificial intelligence and machine learning.
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Duration: Approx. 3 months
Rating: 4.9 out of 5
For any person who wants to develop, build AI or machine learning, Python has become a necessary language. This curriculum of Python specializations provided by the University of Michigan will help you learn everything you need to develop your career in Python. You learn the basic concepts of programming, such as data structures, networked application program interfaces and databases through this training. It also contains a Capstone Project that teaches you how to use technologies to design and build your own data collection, processing and visualization applications. You will obtain a certification of completion from Coursera upon completion of the project.
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Duration: 3 months
Rating: 4.9 out of 5
If you need to get into the AI field, deeplearning.ai’s machine learning specialization is the right option for you. This is one of the best online deep learning programming consisting of 5 distinct courses that will help you learn and understand the fundamental principles of deep learning, build neural networks and lead successful machine learning projects. Both of these courses are taught in Stanford University by top professors and business experts. We ensure that every person who joins this program gets accurate knowledge of profound learning concepts. You can also receive a certification of completion from deeplearning.ai upon completion of the specialisation.
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Duration: 2 months
Rating: 4.7 out of 5
You will need to clear up your basic mathematical skills as you move into higher-level concepts for machine learning and the Imperial College of London specialization program will help you do that. You can clear up your fundamental concepts of mathematics that are required for machine learning and build an understanding of machine learning and data science with this specialisation programme. It consists of three different courses, each designed to learn various mathematical subjects for ML. This specialization has also been planned by qualified instructors in all the definition of machine learning mathematics and data science of the Imperial College of London.
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Duration: 5 months
Rating: 4.5 out of 5
This is a comprehensive data science course, provided in Python at the University of Michigan, to assist people trying to learn data science and Python. This training curriculum will introduce you to some Python-language concepts in data science. This specialization will allow you to statistically apply machine learn, visualize information and analyze social networks through popular python tools like matplotlib, pandas, etc. It consists of five courses focusing on various subjects in data science and python language. Completing this degree will allow you to receive a Coursera certificate of completion.
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Duration: 1 month
Rating: 4.5 out of 5
Those interested in studying Computer Engineering, Big Data and Machine Learning from GCP can pick up this Google Cloud specialization. It is a five-week specialization program to develop and build data processing systems on the Google Cloud Platform. The combination of presentations, practical laboratories and demo videos to help individuals learn about data processing systems design, build end-to-end data pipelines, and analyze data makes this specialization unique. This includes all main subjects, such as organized, unstructured and streaming data. On completion of the degree. You can receive a Google certificate of completion.
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Duration: 9 months
Rating: 4.8 out of 5
When you belong to a area other than engineering you do not have to join AI, and this is the proof of this course. Coursera offers AI for everyone if the deeplearning.ai course which helps everyone in their organization to learn artificial intelligence. In this course you will learn to understand the basic concepts of artificial intelligence. You can also learn the sense of neural networks, deep learning, and machine learning from common AI terminology. The teacher, Andrew Nag, is an AI professional who runs his own company, Landing AI.
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That’s the list of 8 Best Online Coursera Machine Learning Certification of 2023 with high-quality content. They are popular and loved by many Coursera Machine Learning students. Between these courses, you are sure to find what you need to learn to continue your path of the Coursera Machine Learning.
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