What is machine learning?Explain machine learning concepts in detail

When it comes to artificial intelligence, it is necessary to understand machine learning, from information software, to e-commerce, to the era of rapid development of the Internet, to cloud computing, big data, etc., penetrated into our life and work. Driven by the Internet, people have a clearer understanding and use of data, not only data statistics and analysis, but also data mining and prediction.

So what is machine learning?

Machine learning is to learn part of the computer data, and then make predictions and judgments on other data.

Machine learning is at its core "using algorithms to parse data, learn from it, and then make decisions or predictions about new data".That is to say, a method in which the computer uses the acquired data to obtain a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, people can make predictions about new problems with certain experience.

Let's take an example, we all know Alipay's Spring Festival "collection of five blessings" activities, we use mobile phones to scan the photos of the word "Fu" to identify the word "Fu", this is using a machinelearning method.We can provide the computer with photo data of the word "Fu", through the algorithm model model training, the system will continuously update and learn, and then input a new picture of the word "Fu", and the machine will automatically identify whether there is a word for blessing on this photo.

Machine learning is a multi-disciplinary interdisciplinary subject involving probability theory, statistics, computer science and other disciplines.The concept of machine learning is to train the model by inputting massive training data, so that the model can grasp the potential laws contained in the data, and then accurately classify or predict the newly input data.As shown below:

Machine Learning Classification

We have learned the concept of machine learning, and we can learn by ourselves by building models, so what are the learning methods?

The space is too long, so I will divide it for you, and the collection link:

Free to share some artificial intelligence learning materials that I have organized for everyone. It has been organized for a long time and is very comprehensive.Including some basic introduction videos of artificial intelligence + practical videos of common AI frameworks, image recognition, OpenCV, NLP, YOLO, machine learning, pytorch, computer vision, deep learning and neural networks and other videos, courseware source code, well-known domestic and foreign essence resources, AI popularpapers, etc.

The following are some screenshots, and the free download method is attached at the end of the article.

Table of Contents

1. AI Free Video Courses and Projects

Second, artificial intelligence must-read books

Three, Collection of Artificial Intelligence Papers

Fourth, machine learning + computer vision basic algorithm tutorial

5. Deep Learning Machine Learning Cheat Sheet (26 in total)

To learn artificial intelligence well, you need to read more, do more hands-on, and practice more.gain something.

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