Machine Learning: Algorithms in the Real World
About this course
This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application. After completing all four courses, you will have gone through the entire process of building a machine learning project. You will be able to clearly define a machine learning problem, identify appropriate data, train a classification algorithm, improve your results, and deploy it in the real world. You will also be able to anticipate and mitigate common pitfalls in applied machine learning.
90/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- define a machine learning problem
- identify appropriate data for training
- train a classification algorithm
- improve model performance
- deploy a machine learning application
- anticipate and mitigate common pitfalls in applied machine learning
Course objectives
- learn the entire process of building a machine learning project
- apply machine learning techniques in various domains
- gain in-demand skills for data analysis and automation
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