Machine Learning is a subset of Artificial Intelligence. As per the reports, the demand for Artificial Intelligence professionals will jump by 38% by 2020. There is lots of excitement in the tech community to learn machine learning, but at the same time, there is confusion on the courses one needs to take to secure the job. In this article we have created a list of courses that will help understand to learn and develop in machine learning. Below is complete list of courses in machine learning in order of ranking.
- Machine Learning A-Z: Hands-On Python & R in Data Science
This Machine learning course helps a student to create Machine Learning Algorithms in Python, and R. This course consists of ten different sections.
It covers topics like Data processing, Regression, classification, clustering, Association Rule Learning, Natural Language Processing, Deep Learning, Dimensionality Reduction, etc.
The course includes 40.5 hours on-demand video, 19 Articles, two supplemental resources, and allows free access to mobile & TV. A certificate is provided after successful completion of the course.
- Machine Learning Specialization
This is a course of five intermediate level courses, which helps students to specialize in machine learning. The course provides case studies which help the learner to gain practical experience in major areas of machine learning like Prediction, Classification, Clustering and Information Retrieval.
Learners need to spend 25 weeks’ time with daily effort of 5-8 hours for each course.
- Principles of Machine Learning
This course is a part of the Microsoft professional Program Certificate in Data Science. In this training, the student will learn machine learning theory as well as practical scenarios. The course develops practical experience of building, validating, and deploying machine learning models.
This six weeks Intermediate course needs a learning effort of 3 to 4 hours per week. The course covers topic like Regression in machine learning, how to Improve Supervised Models, non-linear modelling, Clustering, and Recommender systems. The learner can also get verified certificate by spending some bucks.
- Advanced Machine Learning Specialization
It is a collection of seven advanced machine learning specialization courses. A total of 35 weeks is needed to complete all the courses with 6-8 hours average learning effort per week.
These courses cover topics like Introduction to Deep Learning, How to Win a Data Science Competition – Learn from Top Instructors, Bayesian Methods for Machine Learning, Practical Reinforcement Learning, Deep Learning in Computer Vision, Natural Language Processing and Addressing Large Hadron Collider Challenges by Machine Learning.
After the end of the course, learners get a certificate to highlight their newly acquired skill on their resume.
- Learn Machine Learning
Learn Machine Learning is a set of five courses that provide learner, basic to advanced machine learning material. It takes 10 weeks to complete the entire training material.
This self-placed training offers rich learning content along with interactive quizzes. It covers topics like Introduction to Machine learning, Introduction to Descriptive Statistics, Introduction to Data Science, Unsupervised Learning, Reinforcement Learning, Deep learning.
In todays world choosing the right course for you that is suitable for your career is yet difficult as there are so many of it. But in the other hand this Digital Age of 21st century offers great learning and inventing experience; the Machine learning is one of it. It will make you live in the current world of technology, where everything is automated. Choose from the best course suits for you the best and explore yourself in the Digital World.
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