。《Approaching (Almost) Any Machine Learning Problem》是一本侧重于应用机器学习模型的书籍,它基于作者参加Kaggle竞赛的丰富经验。这本书的作者是Abhishek Thakur,一位在Kaggle竞赛平台上获得Grandmaster称号的顶尖选手。书中的内容不仅包括了数据预处理、模型选择和评估等机器学习的基本步骤,还提供了实用的代码和方法论...
Now coming up with how to solve a machine learning problem. A following stepwise approach would help you solve almost any machine learning problem. Step 1(a). How to solve a Machine Learning problem? Stepwise approach Read the data (from csv, json etc) Identify the dependent and independent...
While SHAP can explain the output of any machine learning model, we have developed a high-speed exact algorithm for tree ensemble methods (see ourNature MI paper). Fast C++ implementations are supported forXGBoost,LightGBM,CatBoost,scikit-learnandpysparktree models: ...
Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and ...
We present a way of thinking about machine learning that gives it its own place in the econometric toolbox. Machine learning not only provides new tools, it solves a different problem. Specifically, machine learning revolves around the problem of prediction, while many economic applications revolve...
Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas ...
Researchers have addressed the problem with more and more sophisticated static and dynamic analysis tools as an aid to assess how apps use private user data. Those tools, however, rely on the manual configuration of lists of sources of sensitive data as well as sinks which might leak data to...
We have built a CLQA (Cross Language Question Answering) system for a source language with limited data resources (e.g. Indonesian) using a machine learning approach. The CLQA system consists of four modules: question analyzer, keyword translator, passage retriever and answer finder. We used ma...
practicalAI https://learnpracticalai.com https://github.com/GokuMohandas/practicalAI 发布于 2018-12-19 06:38 深度学习(Deep Learning) 机器学习 计算机科学 写下你的评论... 打开知乎App 在「我的页」右上角打开扫一扫 其他扫码方式:微信 下载知乎App ...
A machine learning approach for feature selection traffic classification using security analysis Class imbalance has become a big problem that leads to inaccurate traffic classification. Accurate traffic classification of traffic flows helps us in secu... M Shafiq,X Yu,AK Bashir,... - 《Journal of...