Good news, dear readers and friends, due to the long-term high-quality content output, (it's embarrassing to write an article in two or three months), the instinct has finally received the advertisement, and friends who care about the little expert can rest assured.
As a famous KOL in the IoT industry with an average net worth of $90 billion together with Bill Gates, tens of thousands of dollars in advertising fees are naturally ignored. What we care about is the quality of cooperative content, if the advertisement is useful to friends, it is not an advertisement.
The partner this time is Wanmen University. Two years ago, when I read "The Beauty of Mathematics" written by Mr. Wu Jun, I was astonished. It mentioned that the application of mathematics in Google search engine has opened up a new world for instinctive hands. The original feature vector can be used to judge whether the article is plagiarized. Math can do the same. "The Beauty of Mathematics" is really good-looking, but if those details are not figured out clearly, I always feel that my IQ is inferior, so I start to make up for high numbers. Later, on Zhihu, I saw that others recommended the mathematics courses of Wanmen University, and I followed Mr. Tong Zhe's ideas to learn. Those unclear knowledge became simple and vivid.
Therefore, my instinct is still very fond of Wanmen University. Yesterday, my friend from Wanmen contacted me and wanted to promote the free course of artificial intelligence, and I agreed. If you are interested in artificial intelligence and python, you may wish to listen to this introductory course, from mathematical foundation, python application, to machine learning, data mining, deep learning, step by step.
The following is a description of Wanmen's courses:
We plan to recruit 300 students to study artificial intelligence for free.
Here's a look at the latest data:
(salary table) Latest data in 2018:
Python, big data, artificial intelligence practitioner salary
Why are salaries in the AI industry so high?
Whether it is scientific research institutes, business giants or start-ups, all walks of life are vigorously developing or introducing artificial intelligence. Due to insufficient reserves, there is now a huge gap in artificial intelligence talents.
According to the global AI talent distribution map released by LinkedIn today, China's current AI talent gap exceeds 50,000.
The supply of talents is in short supply, which leads to the rise of salaries for positions in the field.
Many people, especially fresh graduates and programmers who have just started working, want to stand out with their strength and resumes in this AI boom. However, many people are brushed off by HR at the first level, let alone technical.
I guess everyone knows why.
目前的人工智能，对于本科生来说并没有深入的AI专业，毕竟这些方向属于高层次的知识，需要一定的基础。虽然由于现在AI热还有工业界对于这方面人才的强烈需求，开始有大学专门开设了AI和数据科学专业，但是，这些学生毕业出来后所拥有的技能和企业所需的人才标准却是不对等的。
像BAT的人工智能部门；高校人工智能研究相关工作；明星创业公司，比如四小龙，商汤，矿世，科大等。如果你只学过计算机专业，想进入这些公司或者机构并没那么简单，因为你没有实操的项目，你对人工智能没有整体性和深度性的把控和学习。
而且如果你的学校背景不强硬（清华北大中科大等），就更别指望这些公司的offer了。
但这是不是就意味着你没机会了？
不。至少你还拥有学习的权利和能力。
你可以自学，也可以跟着这方面的专家导师学。
对于入门人工智能这个问题，不少同学跃跃欲试，其实人工智能的核心就是机器学习（Machine Learning）和深度学习。而它们的基础，就是编程（Python/c++等）和数学（高等数学/线性代数/概率论等）。
另外，AI是逻辑算法的执行，底层架构是大数据。所以人工智能如何变厉害？就要喂它“吃”大数据。大数据就像人工智能的食物，跟人类一样，吃进去的食物愈新鲜、愈干净，人工智能就愈健康。
所以你想要进入这个领域，需要至少经过以下五个阶段的学习。
第一阶段：数学
高等数学／线性代数／概率论
第二阶段：编程
python工具库实战／python网络爬虫
第三阶段：机器学习
机器学习入门／机器学习提升
第四阶段：数据挖掘实战
数据挖掘入门／数据分析实战
第五阶段：深度学习
深度学习网络与框架／深度学习项目实战
几百个课时的学习是基本，但若想真正学明白，至少需要一些时间，当然根据每个人基础不同会有所差异，也不能排除你很短时间就能搞定。
如果你想投入 AI 的怀抱，但却苦于不知如何下手。而当你准备自学机器学习和深度学习时，又被外面那些贵的要命的培训课程吓得不行时，你还可以选择成为本次万门大学人工智能专业的学员。
划重点：纯免费
本次培训我们设置了300个课时，完全覆盖以上五个阶段。
专业课程特色：
（1）重基础／系统化
（2）从最小例子出发循序渐进的阐述
（3）具体课件代码逻辑清晰，内容详尽
（4）注重与前沿应用和科技的接轨，整合了很多人工智能研究者的心得
我们将一步步教你如何从基础小白进军AI，直接免去大几千几万的培训费。
由于课程开发精力有限，所以本次课程我们只招收300名学员。
如果你按照我们的课程步骤一步步扎实学习的话，相信你最终一定在人工智能方面小有成就，学完找到这类工作也会容易得多，而且薪水不会低。
为什么我们有信心开设这次人工智能专业学习课程？
一切归属于强大的导师团。为了开设人工智能课程，我们专门挖来了巴黎高师、以色列理工大学和美国数据应用学院的资深大咖来教授这门专业课程。
数学：
童哲：万门大学校长。高中以物理竞赛福建省第一名成绩保送北京大学物理学院，大三暑假考上法国巴黎高等师范学校，留法攻读物理。获得巴黎高师本科+巴黎高师硕士M1学位后回国创建了万门大学，获800万用户认可。
Python及人工智能：
许铁: 以色列理工学院机器学习在读博士、巴黎高师理论物理与复杂系统硕士、cruiser创始人 , 在知名神经科学期刊著有论文。
数据挖掘：
数据应用学院（DAL）讲师团: 北美首屈一指的Data Bootcamp核心团队。 陈晓理-DAL， 数据应用学院（DAL）联合创始人，加州大学博士，数学竞赛保送北大力学系，多年机器学习教学经验。
△陈晓理老师的线下课“人满为患”
You must know that in artificial intelligence training, the most difficult thing is to find suitable data. In the course, we cleverly used all kinds of public data and data generated by ourselves to solve the problem of insufficient data. The computing power is not easy to solve, but we will use the basic data of simple production, so that students can bypass the problem of computing power at the beginning, understand the core of machine learning and deep learning, and then cooperate with stronger computing power to easily solve the problem. difficult question. That's the beauty of these mentors.
They are among the top 1% in the field of artificial intelligence and big data. If you can learn the whole process, you still have the opportunity to get our big factory promotion opportunities. Major manufacturers such as Toyota and Huawei have a certain number of places. Many of our former students are from big factories, and you also have the opportunity to hook up with them.
One last thing. In 2017, the country's per capita disposable income was 25,974 yuan, ranking 69th in the world. You can find this data quickly on Baidu. By 2017, the penetration rate of higher education was only 38%. This is our society, and we really have a lot of opportunity.
hope you are like me
I also believe in the phrase "learning changes destiny".
See below for how to register for the course