The rapid development of the Internet has made it an important resource for information dissemination and sharing in the world. The data on the Internet has also grown exponentially. However, it has become very difficult to obtain useful knowledge from the Internet. "Data explosion, lack of knowledge" has been It is an urgent problem that needs to be solved now. Machine learning will be a technical tool to solve these problems, and it can be said to be of great significance for massive data mining. Ninety-five percent of China's Internet users are Baidu users, and hundreds of millions of Internet users' daily search data form a huge database, which is an important cornerstone of machine learning and data training.

As the world's largest Chinese search engine, Baidu has increasingly discovered the importance of machine learning in its gradual data accumulation. In recent years, Baidu has absorbed many experts and scholars in the field of machine learning to participate in Baidu's technology development. For example, Baidu developed the mapping function, which uses the related technology of machine learning. Users only need to upload the image they want to search to the search engine, they can see very accurate search results, including similar to the picture. The various facial close-up pictures and the complete picture, although not completely correct, are quite remarkable.

In fact, the images seen by the computer are not just hundreds of pixels. They need to analyze the color and brightness, and then extract the features of the image, and perform real-time image feature matching on the tens of billions of images from the Internet. Quick feedback on user-related search results, all of which require solid technology as a backing for technologies such as machine learning in the context of big data. Data mining technology is another important area of ​​machine learning applications in the context of big data.

Although, in recent years, many experts and scholars are actively conducting research in the field of machine learning and data mining, but because of the lack of massive data resources to support and more computing resources to support the calculation of these massive data, coupled with the limitations of communication scope. And the limited understanding of certain professional fields has led to many studies that cannot be carried out in depth. In order to solve this problem, Baidu Campus officially established the “Mechanical Learning and Data Mining Interest Group”, and welcomes experts and scholars in related fields as well as such People with strong interest in technology are invited to join our interest group, which will be a gathering place for brainstorming and resource sharing.

Baidu Campus has set up a “data sharing” section on the event website to provide relevant academic article downloads. In order to broaden students' learning and research horizons, Baidu Campus has recently announced the first source code of the “China Cloud” program Internet contest. Let more students who have this need can share the intellectual achievements of the winners, in order to provide some guidance and reference for the students' study and study. Of course, you can also transplant your own data mining algorithms here, so that more people can share your algorithm results. In addition to sharing resources, you can also conduct academic discussions on recommended algorithms, clustering algorithms, classification algorithms, etc. You can also publish the problems you encounter, so that everyone can work together to help you solve them.

In addition, Baidu also provides a cloud computing platform, more than 300 server computing platforms can help you solve the computing resources that have not been touched before; here, with massive real big data, you will not encounter another lack of The embarrassing situation of data resources that cannot be studied. In the future, Baidu Campus will release some competitions on the platform in the direction of “recommended algorithm” and “image processing”. At that time, interested students are welcome to participate!

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