Chevron Left
Вернуться к Predictive Modeling and Machine Learning with MATLAB

Отзывы учащихся о курсе Predictive Modeling and Machine Learning with MATLAB от партнера MathWorks

4.8
звезд
Оценки: 101

О курсе

In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed courses 1 through 2 of this specialization. By the end of this course, you will use MATLAB to identify the best machine learning model for obtaining answers from your data. You will prepare your data, train a predictive model, evaluate and improve your model, and understand how to get the most out of your models....

Лучшие рецензии

SV

5 янв. 2022 г.

Thanks to Mathworks team for such a well structured course with quality content and lectures. Looking forward to more such quality content such as deep learning and reinforced learning

SS

13 сент. 2020 г.

Extremely helpful and interesting course.

The basic concepts and further learnings are well addressed by the instructors.

Highly recommended course for Machine Learning.

Фильтр по:

26–26 из 26 отзывов о курсе Predictive Modeling and Machine Learning with MATLAB

автор: Aaron C

6 апр. 2021 г.