Is Wu Enda's machine learning suitable for entry?

Wuenda said , Want to be an AI practitioner , System learning machine learning is the key . Machine learning is a subject that does not require explicit programming , Science that can make computers work . So is Wu Enda's machine learning suitable for entry ? Many people have questions about this problem .

Is wuenda's machine learning suitable for beginners ？

Mr. wuenda has many courses , Not every series of courses is suitable for entry .

Let me use a list to illustrate this problem ：

Coursera machine learning ：

• This part mainly involves the introductory knowledge of machine learning , From the simplest regression problem to machine vision , It can be used as a door opener for novices in the field of machine learning .
• Long class hours , If you listen carefully, it may take a semester in college to finish , At the same time, there are many assignments in the course , You will benefit a lot if you stick to it all the way .

advantage ：

• Zero basis , There are few basic knowledge requirements
• vivid , The teacher will give many examples to explain the algorithm and application of machine learning
• It covers a wide range of fields , After basically listening to this course, you can discuss topics with most machine learning practitioners

shortcoming ：

• ( By the time I studied ) The programming job uses matlab, But at present, most of the machine learning practices and data competitions use python Written , If you need to study in College matlab It is highly recommended that ; If you want to learn machine learning as soon as possible , Practice as soon as possible , Then I suggest we can bypass matlab Homework .

Coursera Deep learning ：

• This course mainly involves the content of neural network , Is a subset of machine learning . The content is deep .
• This is a special course , It contains 5 Sub courses . Starting from the basis of neural network , To how to optimize neural networks , To convolutional neural networks 、 Cyclic neural network , Step by step and step into the new field of deep learning .

advantage ：

• Anyone who has read the news in the field of artificial intelligence at ordinary times , You can take this course
• It continues the characteristic of being easy to understand , And after listening, you can start
• The operation is easy to realize , All adopt python
• In passing, the course talks about Tensorflow How to use , This is very useful in later data competitions !

shortcoming ：

• Less derivation involved , Some parts are “ I don't want you to understand , I want you to remember !”

Stanford CS229：

• This course mainly involves machine learning 、 The mathematical principles behind deep learning , Focus on derivation and theoretical analysis .
• Students are required to have a strong foundation in calculus and mathematical statistics .

advantage ：

• The contents and ideas of the lectures are similar to those of many university courses
• Pay attention to the fundamentals of algorithms , From a mathematical point of view, build a machine learning building step by step

shortcoming ：

• Sometimes I skip the steps in class .
• It is still very hard to learn this course on the basis of good mathematics , But it's worth it .
• Homework is a little difficult

Share some of my artificial intelligence learning materials for free , For a long time , Very comprehensive . Including some AI Common framework actual combat video 、 Image recognition 、OpenCV、NLQ、 machine learning 、pytorch、 Computer vision 、 Videos such as deep learning and neural network 、 Courseware source code 、 Famous essence resources at home and abroad 、AI Hot papers 、 Industry reports, etc .

For better systematic learning AI, I recommend that you collect one .

Here are some screenshots , Free download method is attached at the end of the article .

One 、 AI must read books

Two 、 Free video on artificial intelligence courses and projects

3、 ... and 、 Collection of papers on artificial intelligence

Four 、 AI Industry Report

Learn Artificial Intelligence well , Read more , Do more , practice , If you want to improve your level , We must learn to settle down and learn slowly and systematically , Only in the end can we gain something .

Click on the business card below , Scan the code and download the information for free .