Andrew-Ng-ML 吴恩达机器学习 编程作业；If you are using Octave (>=3.8.0), or have an existing installation of MATLAB (< R2019b), download this week’s programming assignment here. This ZIP-file contains the instructions in PDF format along with the starter code.

三星ML-1640_2240_2245_4200_4300打印机清零程序

像谷歌、微软和亚马逊这样的供应商为客户提供软件接口，方便地将机器学习(ML)任务嵌入他们的应用程序。总的来说，机构可以使用ML-as-a-service (MLaaS)引擎来处理复杂的任务，例如训练分类器、执行预测等。

李宏毅ML作业3: 食物分类, kaggle预测与报告题目实作源码, 配合博客阅读: https://blog.csdn.net/lagoon_lala/article/details/118425354

磁悬浮球数字控制器的simulink仿真，适用于小型设计。

What You’ll Learn Extend your machine learning models using simple techniques to create compelling and interactive web dashboards Leverage the Flask web framework for rapid prototyping of your Python models and ideas Create dynamic content powered by regression coefficients, logistic regressions, gradient boosting machines, Bayesian classifications, and more Harness the power of TensorFlow by exporting saved models into web applications Create rich web dashboards to handle complex real-time user input with JavaScript and Ajax to yield interactive and tailored content Create dashboards with paywalls to offer subscription-based access Access API data such as Google Maps, OpenWeather, etc. Apply different approaches to make sense of text data and return customized intelligence Build an intuitive and useful recommendation site to add value to users and entice them to keep coming back Utilize the freemium offerings of Google Analytics and analyze the results Take your ideas all the way to your customer’s plate using the top serverless cloud providers

主题模型代码（LDA），完全可以跑通

基于谭松波老师的酒店评论数据集的中文文本情感分析，二分类问题 数据集标签有pos和neg，分别2000条txt文本 选择RNN、LSTM和Bi-LSTM作为模型，借助Keras搭建训练 主要工具包版本为TensorFlow 2.0.0、Keras 2.3.1和Python 3.6.2 在测试集上可稳定达到92%的准确率

汇编工具ML.EXE,masm and link,编译时需要,不知道做什么的

谷歌机器学习图谱数据集 # Directed graph (each unordered pair of nodes is saved once): web-Google.txt # Webgraph from the Google programming contest, 2002 # Nodes: 875713 Edges: 5105039 # FromNodeId ToNodeId