学习每一个模型背后的直觉和数学
你会学到:
在R中学习完全监督机器学习模型
学习每个机器学习模型背后的数学
学习每个模型的直觉
学习制作简单且基于图形用户界面的模板
学会为特定问题选择最佳的机器学习模型
MP4 |视频:h264,1280×720 |音频:AAC,44.1 KHz,2 Ch
语言:英语+中英文字幕(云桥网络 机译) |时长:95节课(13h 15m) |大小解压后:6.4 GB
要求
需要任何编程语言的基础知识
描述
在本课程中,您将学习在r中实现的所有类型的监督机器学习模型。每个模型背后的数学非常重要。没有它,你永远不可能成为一名优秀的数据科学家。这就是原因,我已经在每个模型的直觉部分讲述了每个模型背后的数学。
在R中实现的方式是这样的,不仅学习如何在R中实现特定的模型,还学习如何构建实时模板并找到模型的准确率,这样您就可以轻松地在特定的问题上测试不同的模型,找到准确率,然后选择准确率最高的模型。
现在,任何想在R中学习监督机器学习模型的人、任何想学习机器学习模型背后的人或任何对数据科学感兴趣的人都可以报名参加这门课程,因为这是适合他们的课程。我向您保证,在您完成本课程后,您将成为使用R语言的监督机器学习模型的专家,并且您将掌握所有这些模型。
我期待着在课程中见到你。
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 95 lectures (13h 15m) | Size: 5.4 GB
Learn the Intuition and Math behind Every Model
What you’ll learn:
Learn Complete Supervised Machine Learning Models in R
Learn the Math behind every machine learning model
Learn the intuition of each model
Learn to make simple and GUI based templates
Learn to choose the best machine learning model for a specific problem
Requirements
Basics of Any Programming Language is Required
Description
In this course, you are going to learn all types of Supervised Machine learning Models implemented in R. The Math behind every Model is very Important. Without it, you can never become a Good Data Scientist . That is the reason, I have covered the Math behind every model in the intuition part of each model.
Implementation in R is done in such a way so that not only you learn how to implement a specific Model in R but you learn how to build real times templates and find the accuracy rate of Models so that you can easily test different models on a specific problem, find the accuracy rates and then choose the one which give you the highest accuracy rate.
Now anyone who wants to learn Supervised Machine learning Models in R or Anyone who wants to learn the behind the Machine learning Models or anyone curious about Data Science can enroll in this course as this is the right one for them. I assure you that after you have completed this course you will be a pro in Supervised machine learning models using R language and you will have a grip on all these models.
I am looking forward to see you in the course.
Best Regards
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