Is machine learning difficult to get started? Tell me how I started machine learning quickly!

Speaking of introduction to machine learning , The first online class that many people throw out is Wu Enda's class . Have to say , This is a very good class . If there is a certain mathematical foundation , Also interested in mathematical knowledge involved in machine learning , I think this course is very clear 、 Easy to understand .

However , Once I was completely mathematical blind , It's very hard to take this course , But Wu Dashen always said ,“ It doesn't matter if you haven't studied calculus ” Under the hypnosis of Wu great God's gentle skill , I brush over and over again , Brush , Brush , I still know a little , So in a rage, he turned back and began to fill up the high numbers ......

Although leaving aside Wu Enda, talking about machine learning may be diss, But I also want to talk about my early entry methods ：

1、 You need to prepare some math materials for you to learn at any time , If you are really worried, you can review it in a few days . linear algebra 、 Differential and integral calculus 、 Probability theory and statistics 、 Functions and so on are all things to master .

2、 Study python Basic knowledge learning , Many people like to make a thick book to read , Although I've read it, I can't use it yet Python, This is the greatest sorrow , You can choose a website for introductory practice . Then try to build a Python Environmental Science , Learn some common Pythonn library , You'd better find some demo try .

3、 Learn the principles of machine learning

Learn the basic concepts of machine learning and the principles of algorithms , You can read books , Watch videos to learn .

Students who like reading books can watch Li Hang in the introductory stage 《 Statistical learning method 》、 zhou 《 machine learning 》. In fact, reading is boring , I recommend you to find some online open courses to learn , For example, Li Hongyi's open machine learning class , Tang Yudi's introduction to machine learning , These are video courses suitable for entry .

Wu Enda's course suggests that you accumulate some basic knowledge before you see , If you read it from the beginning , Will be more passive .

4、 Learn more

Find a course you are interested in and study deeply , Follow the steps to learn some principles 、 Algorithm 、demo, Attached project practice . For example, after comparison, I chose a practical course that can only be learned manually and machine , Systematic learning .

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