Introduction to Machine Learning
Introduction to Machine Learning
Machine learning is used anywhere from automating mundane tasks to offering intelligent insights, industries in every sector try to benefit from it. You may already be using a device that utilizes it such as Google Home or a Fitbit. Learn fundamental techniques to optimally extract data and patterns for machines to learn and predict.
Subscribe now from US$8.33/month and get access to the GnowbeLearn General Library.
Includes:
Universal Level
73 min. of Experiential Content
10 Sessions
68 Learning Actions
Group Discussions & Sharing
Offline Access
Lifetime Access via Mobile and Web
Digital Certificate shareable on LinkedIn
- Enroll in a course in the Gnowbe Library
- Get instructions to download app and auto-enroll
- Learn your new skill in 10 mins a day
- Put your Micro-Certificate on Linkedin
- Start Learning to improve yourself
What is this 'Microlearning Course' about?
In the overall spectrum of data science, machine learning takes a big spot. Learn techniques to extract information for optimal learning from the data. This is the final program in a 5-program suite, which seeks to encourage everyone to utilize the abundance of data in today’s world to solve real-life problems.
Who is this course designed for?
Adult learners interested in the fundamentals of data science
Pre-University students who have enrolled for data science modules
What will you take away?
At the end of the course, participants will be able to achieve the following learning outcomes:
State the principles of machine learning and algorithmic optimization
Define regression, classification, clustering, and anomalies
Explain the difference between supervised and unsupervised learning
Describe how these techniques help us to optimally learn from the data and tackle particular datasets
Ranked Top Universities in the World
Ranked amongst the world's top universities by QS, NTU has been placed the world's top young university for the past seven years. The University's main campus is frequently listed among the Top 15 most beautiful university campuses in the world and it has 57 Green Mark-certified (equivalent to LEED-certified) building projects, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore's healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.
