[教程资料]机器学习 - AZ全程 [复制链接]

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 14.5 hour | Size: 6.11 GB
Learn Machine Learning Algorithms in Python and R, Build Real Life Projects Like Speech and Face Recognition.
What you'll learn
Master Machine Learning on Python & R
Know which Machine Learning model to choose for each type of problem
Have a great intuition of many Machine Learning models
Implement Machine Learning Algorithms
Use Machine Learning for personal purpose
Learn From MIT notes
Build No. of Great projects
Requirements
some high school mathematics level.
Some programming experience in Python
A passion to learn, and basic computer skills!
Description
Interested in the field of Machine Learning? Then this course is for you!
As,
AI and machine learning have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning.
Gartner predicts the business value created by AI will reach $3.9T in 2022.
IDC predicts worldwide spending on cognitive and Artificial Intelligence systems will reach $77.6B in 2022.
23% of North American enterprises have machine learning embedded in at least one company function as of last year.19% of enterprises in developing markets including China and 21% in Europe also have successfully integrated machine learning into functions. The graph below shows the results of a McKinsey & Company survey of 2,135 enterprise senior executive respondents. The graph displays the percent of respondents whose organizations have embedded AI capabilities in at least one function or business unit. Respondents can select multiple AI capabilities
Scopes of Machine Learning
The machine learning technology is used in most banking and finance industry because the proper implication of technology can give the outstanding result and significant improvement can be seen in terms of replacing legacy system and developed enterprise. The machine learning technology helped the banking & Finance sector in taking company’s decision making, improving customer experience, increasing the backend and frontend staff efficiency.
Improved customer services
Improved customer services
Investment Predictions
Fraud Preventions
Personalized Digital Assistant
Marketing
Network Security
Projects In this course
You will get projects with source code , so it will be more understandable and rich for learning.
Like speech and face recognition, Bluex and many more.
What materials you will get int this course?
You will Get MIT press Notes on Machine learning and yes some of E- Books
So Hurry ! Get this course and Get in the Field of Machine Learning.
Quiz and Interview question will updated soon.
Who this course is for:
Anyone interested in Machine Learning.
Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
Including business leaders, managers, app developers, consumers - you!

学习学习，是视频资料

其实机器学习最好从Andrew ng的那套视频开始，B站就有全套带字幕的视频。稍微有点基础或者初学这套是最合适的。

类型：在线学习| 语言：英语+ .VTT | 时长：14.5小时| 大小：6.11 GB
，使用Python和R学习机器学习算法，构建现实生活中的项目，例如语音和面部识别。
您将学到的内容
使用Python和R掌握机器学习
知识知道为每种类型的问题选择哪种机器学习模型
拥有许多机器学习模型的直觉
实施机器学习算法
将机器学习用于个人目的
从MIT笔记中学习
Build No.伟大的项目
要求具备
一定的高中数学水平。
一些Python编程经验
学习热情和基本的计算机技能！
描述
对机器学习领域感兴趣？那么本课程适合您！
因此，
人工智能和机器学习有可能在2020年之前在市场营销和销售中创造2.6T的附加价值，在制造和供应链计划中创造2T的附加价值。
Gartner预测，到2022年，由AI创造的商业价值将达到$3.9T。IDC 预测，到2022年，
全球在认知和人工智能系统上的支出将达到$ 77.6B。
截至去年，至少有23％的北美企业已将机器学习嵌入到至少一种公司功能中。包括中国在内的发展中市场中有19％的企业以及欧洲的21％的企业也已成功地将机器学习整合到功能中。下图显示了麦肯锡公司对2135名企业高级管理人员的调查结果。该图显示其组织在至少一个功能或业务部门中具有嵌入式AI功能的受访者百分比。受访者可以选择多种AI功能
机器学习的范围
机器学习技术已在大多数银行和金融行业中使用，因为适当的

进来看看，感谢分享

先收蒧下，谢谢分享。

谢谢楼主的分享了哈。