Python中完整的机器学习数据科学课程

学习每个机器学习模型背后的数学，然后用Python实现它

你会学到:
开发机器学习模型
创建机器学习模型的模板
学习每个机器学习模型背后的数学

要求:
Python或任何编程语言的基础

时长:8h 15m |视频:. MP4，1280×720 30 fps |音频:AAC，44.1 kHz，2ch |大小解压后:4.54 GB
语言：英语+中英文字幕（云桥网络 机译）


描述:
在本课程中，您将学习所有应用广泛且使用最多的机器学习模型。我们将涵盖每个机器学习模型背后的所有数学知识，以便您了解场景背后实际发生的事情，以及我们如何实际训练机器做出未来的决策。然后，我们将继续在Python中实现所有机器学习模型。我们将构建每一个机器学习模型的模板，并且也将查看它的视觉表示
学完这门课程，你们应该不仅能了解实现部分，还能真正了解幕后的每一个模型。

这门课是给谁上的:
任何想学习机器学习的人
那些想学习机器学习模型背后的数学的人
那些对用Python实现任何模型感兴趣的人
The complete Machine Learning Data Science Course in Python

Last Update: 5/2020
Duration: 8h 15m | Video: .MP4, 1280×720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 4.44 GB
Genre: eLearning | Language: English

Learn the Math behind every machine learning model and then implement it in Python

What you’ll learn:
Develop Machine Learning Models
Create Templates of Machine Learning Models
Learn the Mathematics behind every Machine Learning Model

Requirements:
Basics of Python or any Programming Language

Description:
In this course you will learn all the machine learning models that has vast applications and mostly used. We will cover all the mathematics behind every Machine Learning Model so that you understand what actually happens behind the scene and how we actually train the machine to make future decision. We will then move on to implement all machine learning models in Python. We will build the template of every machine learning model and will look at its visual representation as well
After taking this course, you guys should be able to know not just the implementation part but also you will have a genuine understanding of every model behind the scenes.

Who this course is for:
Anyone who want to learn Machine Learning
Those who want to learn the Mathematics behind machine learning models
Those interested to implement any model in Python
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