This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. Learners will also gain skills to contrast the practical consequences of different data preparation steps and describe common production issues in applied ML.
Informações sobre o curso
- 5 stars76,11%
- 4 stars18,40%
- 3 stars3,23%
- 2 stars0,99%
- 1 star1,24%
Principais avaliações do MACHINE LEARNING ALGORITHMS: SUPERVISED LEARNING TIP TO TAIL
The explanation of the topics are easy to understand due to the dynamics of theory, practical exercises and quizzes.
The whole specialization is extremely useful for people starting in ML. Highly recommended!
This is an excellent course which goes into some depth on the different ML models and underlying complexity but it avoids getting bogged down into the details too much.
Many useful information but need some more explanation, overall awesome
Sobre Programa de cursos integrados Machine Learning: Algorithms in the Real World
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.
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