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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hands-on-neural-networks-build-machine-learning-models/
课程评论：没有评论
课程名称：实践神经网络：构建机器学习模型 课程概述：本课程由Mammoth Interactive的讲师Nimish Narang主讲，旨在带领学员从头到尾完成两个完整的项目，深入了解每个步骤。该课程曾在Kickstarter上获得资金支持，Nimish是一位跨平台开发者，已创建超过20门机器学习、Java、Android、SpriteKit、iOS和Core Image等领域的课程。除了开发之外，Nimish还喜欢弹吉他、健身和在海滩上放松。 项目一：学习构建信用卡欺诈检测模型。我们的模型将接受一系列交易（包括欺诈和合法交易），并计算出欺诈和合法的百分比以及模型的准确性。我们还将修改模型，使其能够对每一个具体交易进行欺诈或合法性判断。我们将深入探索数据集，以便充分理解它，并进行数据处理，使其适合输入到模型中。我们将创建一个包含节点和函数的计算图，以便将输入通过小型神经网络运行。 项目二：构建一个简单的股票市场预测模型，该模型将预测基于某天的交易量，第二天股票价格是上涨还是下跌。全球事件会对股票价格产生重大影响，因此我们将构建一个简单的模型，仅依据某一天的交易量进行短期预测（即决定当天买入或卖出）。我们不会建立一个大型的神经网络，而是创建一个简单的模型，供您进一步扩展。课程中将使用某投资网站的历史股票数据，包括8个CSV文件，用于训练和测试您选择的四种不同股票。 现在就加入Mammoth Interactive的“实践神经网络：构建机器学习模型”课程吧！
Build 2 complete projects start to finish - with each step explained thoroughly by instructor Nimish Narang from Mammoth Interactive.Hands-On Neural Networks: Build Machine Learning Models was funded by a #1 project on KickstarterNimish is our cross-platform developer and has created over 20 other courses specializing in machine learning, Java, Android, SpriteKit, iOS and Core Image for Mammoth Interactive. When he's not developing, Nimish likes to play guitar, go to the gym and laze around at the beach. Project #1 - Learn to construct a model for credit card fraud detection. Our model will take in a list of transactions, some fraudulent and some legitimate. It will output the percentage at which it can calculate fraudulence and legitimacy, how accurate it is. We will also modify the model so that it output whether a specific transaction is fraudulent or legitimate if we pass them in one by one.We will explore a dataset so that you fully understand it, and we will work on it. It's actually pretty hard to find a dataset of fraudulent/legitimate credit card transactions, but we at Mammoth Interactive have found everything for you and curated a step by step curriculum so that you can build alongside us.We will manipulate the dataset so that it will be easy to feed into our model. We will build a computational graph with nodes and functions to run input through the mini neural network.Machine Learning Projects Using Tensorflow - Mammoth InteractiveProject #2 - Learn to build a simple stock market prediction model that will predict whether the price stock will go up or down the next morning based on the amount of volume exchange for a given dayAny kind of global event can completely affect how stock prices fluctuate. As such we will build a simple model that only take in the volume exchange for a particular day and will only be used for day trading - choosing whether to buy or sell at the end of the day. It is short term prediction.We will NOT build a huge neural network that takes in thousands of data points and hours to train. We will build a simple model for you to expand upon. You will learn how to go through building a Tensorflow project and how you would get started with a stock prediction task.You will get a solid base that you can expand upon. We will take previous stock data from the Investing site. Included are 8 CSV sheets for you to use to train and test your model for four different stocks.Enroll now in Hands-On Neural Networks: Build Machine Learning Models with Mammoth Interactive
