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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mql5-machine-learning-01-neural-networks-for-algo-trading/
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课程名称：MQL5机器学习01：神经网络与算法交易 课程概述：本课程的主要目标是引导您进入神经网络机器学习的领域，使用强大的算法交易语言MQL5。我们旨在为您提供建立自优化软件所需的基础知识，这些软件通过数据学习的方式与人脑相似。本课程专为机器学习的初学者设计，无需具备统计学、线性代数或复杂数学的先验知识。课程内容将被简化，以确保您能够快速理解，且不影响学习的深度和实用性。 课程内容包括：首先介绍数据科学及其与人工智能和机器学习的关系；接着深入探讨机器学习及其模型类型；然后简要介绍神经网络和常用于算法交易的神经网络类型，以及设计神经网络模型的过程。我们将从零开始在Excel中构建一个简单的神经网络，并训练其识别RSI指标和移动平均线的买入信号，从而帮助您理解监督学习的基础。 在学习过程中，我们将使用矩阵和向量数据类型而非简单数组来存储数据，因此将从头介绍这些新数据类型的声明、初始化及操作方式。随后，我们将在MQL5中从头编码一个神经网络，以寻找隐藏在RSI和布林带指标中的模式，从而判定市场趋势的强弱，并通过反向传播训练我们的神经网络以识别市场的牛市和熊市分类。 加入本课程，您将亲身体验神经网络的强大魅力。这是一段充满挑战的旅程，适合愿意探索人工智能无尽前沿的人士。准备好迎接这场智力冒险吧！立即点击注册，释放您的好奇心！
In this course, our primary objective is to introduce you to the realm of Machine learning with neural networks using the most powerful algorithmic trading language, MQL5. Our aim is to give you a solid foundation to principles and concepts you will need in developing self optimizing softwares that learn from data the same way that the human brain learns.This course is structured for complete beginners to machine learning. There is no prior knowledge of statistics, linear algebra or complex mathematical understanding needed. You will be breast fed everything and we will simplify all processes and content without eliminating its value or impact in your learning.In this course, we shall first introduce you to data science and how it relates to artificial intelligence and machine learning. Then we shall take a closer look at machine learning and the types of models involved in machine learning processes. I shall then briefly introduce you to the world of Neural networks, the types of neural networks commonly used in algorithmic trading and the processes involved in designing a neural network model.To get an idea of the concepts and processes involved in neural network calculations, training and prediction, we shall build a very simple neural network in excel from scratch and train it to identify a buy signal from the RSI indicator and Moving average. This will be very useful in helping you understand the foundation of supervised learning with neural networks, enabling you to follow through the MQL5 coding process with ease.In this course, we shall use matrices and vector data types instead of simple arrays to store most of our data. So we shall introduce you to these new datatypes from scratch by looking at their declaration, their initialization and how to manipulate them.We shall then code a neural network on MQL5 from scratch, which aims to find hidden patterns in the RSI and Bollinger band indicators that are suggestive of a bullish market or a bearish market. We shall do this by training our neural network using back propagation to identify and classify the market into bullish and bearish classes.Join us in this course and prepare to be astonished by the sheer power of neural networks. This course is not for the faint of heart, but for those who dare to explore the boundless frontiers of artificial intelligence. Prepare to be challenged, immersed, and captivated as you embark on this intellectual adventure.So Click that enroll button now!! And Unleash your curiosity,
