Machine Learning Pipeline
Take free Machine Learning Pipeline course & learn to solve real world problems in various domains.
Instructor:
Dr. Sunil KumarSkills you’ll Learn
About this Course
Machine learning is one of these domains that is aiming to solve problems in almost all of the other domains out there. The applications of Machine Learning are nearly endless as is and the list just keeps growing. Since the domain is trending with regards to how easy it is able to solve multiple problems, it becomes key that you as a learner are aware of how best you can put these algorithms to use and solve real-world problems. Keeping exactly this in mind, we here at Great Learning have come up with this course helping you understand the Machine Learning pipeline in detail and further reinforce the concepts of how you could use it to solve real-world problems in multiple domains.
Course Outline
Data is the soul of Machine Learning, and there are specific methods to deal with it efficiently. This module first introduces Machine Learning and talks about the mathematical procedures involved. You will learn about supervised and unsupervised learning, Data Science Machine Learning steps, linear regression, Pearson's coefficient, best fit line, and coefficient of determinant. Lastly, you will be going through a case study to help you effectively comprehend Machine Learning concepts.
Our course instructor
Dr. Sunil Kumar
GM - Engineering Innovation
Dr Sunil has a PhD in computer science (specializing in machine learning and natural language processing). He is an AI researcher with 15+ years of industry experience. Prior to joining one of the world's renowned logistics firm. He was with the AI Center of Excellence. He has published several research papers in Scopus, IEEE journals and is a regular speaker at various meet-ups. He also has a book published this year by Packt publishers, UK called 'R Machine Learning Projects'. He is an avid coder and has won multiple hackathons in his spare time.
What our learners enjoyed the most
Skill & tools
64% of learners found all the desired skills & tools