Code for Machine Learning for Algorithmic Trading, 2nd edition是一本关于机器学习在算法交易中的应用的书籍,主要介绍了如何使用Python和TensorFlow等工具进行机器学习算法的开发和应用。该书的作者是一位知名的机器学习专家,他在书中详细介绍了机器学习算法的基本原理、应用场景和实现方法,同时提供了大量的示例代码和...
Master Python for data analysis with a focus on fundamentals, Numpy, Pandas and Matplotlib. Build projects every step of the way to showcase your data analysis skills. 4 courses 2.6k+ learnersEnrol now 0(0) AI Machine Learning Basics Learn the basics of AI and machine learning with our com...
Part 2: Machine Learning for Trading: Fundamentals 06 The Machine Learning Process 07 Linear Models: From Risk Factors to Return Forecasts 08 The ML4T Workflow: From Model to Strategy Backtesting 09 Time Series Models for Volatility Forecasts and Statistical Arbitrage ...
It's currently running athttps://MachineLearningForKids.co.uk The code This started as a personal side-project byDale Lanefor use by a couple of local schools. It's grown far beyond what I expected. All of this is a long-winded way of saying that I never expected to share this code...
17 for num_iterations = 1:MAX_ITR 18 grad = (1/m).* x' * ((x * theta) - y);%grd具体是怎么算的可以看下下面的推导,只是这里的1/m不知道是怎么得出来的, 19 %我的是2m,注意grad是一个2*1的向量。并且公式里面的形式 20 %跟这里有点不同,是因为在公式中xi代表一个向量,这里x是一个矩...
% temp(1) = 0; % because we don't add anything for j = 0 % grad = grad + YOUR_CODE_HERE (using the temp variable) % h=sigmoid(X*theta); for i=1:m, J=J+1/m*(-y(i)*log(h(i))-(1-y(i))*log(1-h(i))); endfor n=length(theta); for i=2:n, J=J+lambda/...
Username for 'https://gitee.com': userName Password for 'https://userName@gitee.com':#私人令牌 新建文件新建 Diagram 文件 新建子模块 上传文件 分支1 标签0 undefined 贡献代码 同步代码 创建Pull Request 了解更多 对比差异通过 Pull Request 同步 ...
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Code that is designed for machine learning, is it any different? Where does the computer store the information that it has learned? variables? Will I be able to write machine learning code just by practicing and learning classic programming?
In this work, we propose Group-in-Group Policy Optimization (GiGPO), a novel RL algorithm that achieves fine-grained credit assignment for LLM agents while preserving the appealing properties of group-based RL: critic-free, low memory, and stable convergence. Mathematical Reasoning Reinforcement Le...