Click on the above“Beginner’s Guide to Vision” to choose to add a Star Mark or “Top” Important content delivered promptly Introduction The most common application of the Hessian matrix is in the Newton method optimization algorithm, which primarily seeks the extrema of a function where the first derivative is zero. This article provides a clear … Read more
When I first started exploring machine learning algorithms, I was overwhelmed by all the mathematical content. I found that without fully understanding the intuition behind the algorithm, it was difficult to grasp the underlying mathematical principles. Therefore, I tend to favor explanations that break down the algorithm into simpler, more digestible steps. This is what … Read more
XGBoost utilizes a second technique which is second-order optimization, expanding the loss function l(x,y) using a Taylor series expansion. To approximate it to the second order. This is relatively unique in the XGBoost algorithm, differing from the approach of optimizing using gradient descent in GBT, and also different from Adaboost which increases the weights of … Read more
Introduction The previous article introduced the algorithm principles of XGBoost and introduced the scoring function (objective function) that measures the quality of tree structures. The best split point is selected based on the scoring function before and after the feature split points, but a detailed introduction to the node splitting algorithm was not provided. This … Read more
Smart Introduction In recent years, Jiangsu courts have deeply implemented Xi Jinping’s thoughts on the rule of law and his important ideas on building a strong networked nation, closely focusing on the work theme of “justice and efficiency.” They have actively explored the deep integration of artificial intelligence and judicial applications, relying on multimodal perception … Read more
Click on the “Visual Learning for Beginners” above, choose to add “Star” or “Pin“. Essential Knowledge Delivered Instantly This article is sourced from the AI Knowledge Base and reprinted from Smart Vehicle Technology. The article is for academic exchange only. / Introduction/ Object tracking is an important problem in the field of computer vision, currently … Read more
Author: Huang Chongyuan “Data Insect Nest” Total 23138 words Cover image ssyer.com “ In recommendation systems or computational advertising, ReRank blatantly disrupts the sequence generated by recall, coarse ranking, and fine ranking, yet claims to act in the greater interest. This is a very interesting phase of the algorithm, full of fun and, of course, … Read more
Source: Turing Artificial Intelligence, Aotu Data This article is about 3600 words long and suggests a reading time of 7 minutes. This article introduces the 10 most common machine learning algorithms in an illustrated manner. In the field of machine learning, there is a saying that “there is no free lunch in the world”, which … Read more
Reprinted from:Author: james_aka_yale In the field of machine learning, there is a saying: “There is no free lunch in the world,” which means that no single algorithm can perform best on every problem. This theory is particularly important in supervised learning. For example, you cannot say that neural networks are always better than decision trees, … Read more
This article provides a general introduction to commonly used algorithms. It does not include code or complex theoretical derivations, but simply illustrates what these algorithms are and how they are applied. Decision Tree Classifies based on certain features by posing a question at each node, dividing the data into two categories, and continuing to ask … Read more