Machine learning is a procedure used in the application of AI to programs so that they can have the caliber of learning without being controlled by anyone. It is the cornerstone of systems that use data to learn on their own. This procedure is done by looking for patterns through data observation and therefore AI gets to make informed decisions. Use of machine learning has in the past delivered error-free results which have led to identifying better opportunities and risk that was hard to see. Machine learning and AI combination have made work easier because information cannot be processed on a large-scale.
Many companies have adopted machine learning in their everyday operations. Due to this, some job requirements call for individuals with experience in AI and machine learning. Learning institutions have not been left behind, they’ve created paths that people can subscribe to and improve their skills in machine learning and AI.
Stanford University through Coursera website has a course called machine learning and it is one of the best courses you can find on the internet. It has an average rating that is decent and has been offered to over three million individuals and other professionals. You’ll also be able to interact with other learners with different levels of machine learning experience. To complete this course will take three days, the lowest time taken compared to other courses in the same field.
Imperial college based in London offers a course called mathematics for machine learning. This course also uses the Coursera website to tutor its learners. The course specializes in the use of mathematics in machine learning and by the time you’re done with this course you will have the context of mathematics in machine learning so that you’ll be able to further lessons in machine learning. For this course to be effective in your learning you need to have knowledge in Python and it will take you two months to complete the course.
Columbia University offers a machine learning course that is neatly assembled for people who aim to improve their skills in machine learning and AI. In this class, you learn how Python programming language is used as an approach in supervised machine learning real-life tryouts. This course equips you with the knowledge on how machine learning and AI are applied in different lines of work such as software development, the retail industry, the making of autonomous vehicles, among other industries. The course takes 5 months to complete and you will also be certified after successful completion of the program.
Harvard University also offers an online course called machine learning data Science. This course shows you how to study vast amounts of data and by asking specific questions. You will learn data analysis methods, statistical theory, and the R programming language. This course consists of 9 courses and depending on your speed of learning it takes a period of two to eight weeks per course.
Columbia University also offers a machine learning program that is focused on using AI in various industries that would require less human interaction. It has four courses and will guide you on how machine learning is used in real-world applications and each course takes three months to complete. After you have successfully completed the program you will have enough knowledge that you can use to apply for suitable jobs in machine learning and AI.
Columbia University through its School of Engineering offers a diploma in AI and machine learning. This program is for people who already have knowledge of AI and machine learning and their aim is to broaden their expertise. In this program, you will learn through 3 modules which include the Capstone Project, the use of AI, and the use of machine learning. You will also get an opportunity to interact with your trainer so that your queries related to the course are answered. Columbia University certifies you with a diploma after completing the course which takes 36 weeks.
Machine learning is a field that is rapidly growing and has opened up many job opportunities. The above list will help you decide where to begin from whether you are a beginner in machine learning or you’ve had experience with machine learning and AI. Before choosing a program, consider your experience, and the terms and conditions of the program.