Bai Li, a young Chinese elder brother from the university of waterloo, shared on Medium his divine operation of “how to use the logistic regression method in ML to help him find his own order”. For such a practical technology, one must learn one. The University of Waterloo is a well-known university in Canada and ..
Using machine learning, in-depth learning, big data, cloud computing and other technologies, copyright monitoring, registration and rights protection are realized, piracy is combated, and the era of piracy is ended. Today, an article by the CEO of Sibu plunged CSDN into the center of public opinion. The reason is that some authors of Sibu found ..
Scene Description: IJCAI 2019 is in progress. As the most eye-catching special guest report segment of the conference, among the 7 heavyweight guests this time, we are familiar with Professor Zhou Zhihua. He gave a thematic report on deep learning. Take this opportunity to watch the sharing of the great god at the conference, and ..
Scenario description:The AI summit IJCAI 2019 was successfully concluded on august 16. In the 7-day technical pageant, the participants learned about the application scenarios of AI technology in various fields in the workshop, listened to the keynote speeches of senior AI experts, and also had the opportunity to learn about the historical story of AI ..
Scene Description: Although summer is over, people’s enthusiasm for drinking beer is still on the rise. However, with the promotion of the public’s pursuit and concept, the demand for beer is getting higher and higher. For example, the rising trend of fine brewing proves that people have more “stringent” requirements on the taste and flavor ..
Scenario description: GDD continued until the next day. Developers were still enthusiastic and TensorFlow RoadShow was still full. Four years have passed since the launch of TensorFlow in 2015. Google has built a complete ecosystem around TensorFlow and its user base is growing. So what did Google’s TensorFlow team bring us this time? Key words: ..
Classification by Learning Method Supervised learning Have a training set (Contains data and its classification) and test sets (There is no classification of data) From binary classification (support vector machine) to multivariate classification Enhance learning The results of machine learning will be rewarded and punished accordingly. The goal of machine learning is to maximize rewards ..
Recently, I have used my spare time to learn machine learning. During this period, I collected a lot of learning materials, including public classes and lectures at Stanford/Cornell and other universities, as well as original English books in the field of machine learning. Personally, I think it is more in-depth and accurate than the introductory ..
In the massive information flow, the strange technology guide has become an extremely important way for products to attract users and obtain profits by recommending the contents of interest to users through precise algorithms.This is a series of articles on algorithms, which will share 360 algorithm knowledge and experience accumulated by the algorithm team in ..