Machine Learning Articles

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. 2014 China large data Technology ...

This paper raises objections to this view, thinking that machine learning ≠ data statistics, deep learning has made a significant contribution to our handling of complex unstructured data problems, and artificial intelligence should be appreciated.

The scarcity of machine learning talent and the company's commitment to automating machine learning and completely eliminating the need for ML expertise are often on the headlines of the media.

Find articles about machine learning sorted by related tags.

There are many articles on machine learning algorithms that detail the related algorithms, it is still very difficult to make the most appropriate choices.

This topic includes two articles, made by Microsoft study and Jamie Shotton,antonio Criminisi,sebastian Nowozin of Cambridge University. Here is the first article, the content of the second article will be posted here. Machine vision is a technology that automatically understands picture content through computer algorithms, which originated in artificial intelligence and cognitive neuroscience in the the 1860s. In order to "solve" the problem of Machine Vision, 1966, at MIT, this issue was presented as a summer project, but ...

This article is by no means comprehensive, but rather highlights the pitfalls we have seen over and over. For example, we won't talk about how to choose a good project. Some of our recommendations are generally applicable to machine learning, especially for deep learning or reinforcement learning research projects.

There are a few things to explain about prismatic first. Their entrepreneurial team is small, consisting of just 4 computer scientists, three of them young Stanford and Dr. Berkeley. They are using wisdom to solve the problem of information overload, but these PhDs also act as programmers: developing Web sites, iOS programs, large data, and background programs for machine learning needs. The bright spot of the prismatic system architecture is to solve the problem of social media streaming in real time with machine learning. Because of the trade secret reason, he did not disclose their machine ...

Algorithms in Machine Learning (1) - Random Forest and GBDT Based on Decision Tree Model Combination. Decision Tree This algorithm has many good features, such as training time complexity is low, the prediction process is relatively fast, the model is easy to display (easy to get the decision tree made of pictures) and so on. But at the same time, the single decision tree has some bad points, such as easy over-fitting, although there are some ways, such as pruning can reduce this situation, but not enough. Model combinations (say Boosting, Bagging, etc.) are related to decision trees ...

January 20, today's headline at the Beijing National Convention Center held the "arithmetic annual data" conference. Today's headline CEO Zhang Yixi at the meeting focused on today's headlines the next five years of strategic development planning and machine learning development trends. Zhang Yixi: The next five years of the headline today's development plan is mainly summed up in three aspects: first, more subject news information, including text, pictures, short video information recommended to more users in the application scenario. Second, with the increase in user size and use of today's headline frequency increases, more and more user information is recorded in today's headlines, so that users can create more ...