吴恩达 深度学习系列--结构化机器学习项目(Structuring Machine Learning Projects)(ML strategy(1))--07 1.1为什么是ML策略?(Why ML Strategy?) 如何构建你的机器学习项目也就是说机器学习的策略。如何更快速高效地优化你的机器学习系统。那么,什么是机器学习策略呢? 事实上,机器学习策略在深度学习的时代也在变化,...
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Reason #2 — Embodies the spirit of Building To Learn I believe that doing projects is so effective that its worth centering your entire learning around completing one.What I mean to say is that instead of searching for a relevant project after you learn something, it might be better to sta...
曾在美国雷神公司(Raytheon) 自然语言实验室工作,参与美国国防部研究所(Defense Advanced Research Projects Agency,DARPA) 自动手写识别研究项目Multilingual Automatic Document Classification, Analysis and Translation(MADCAT)的研究工作。 首次将Feedforward Deep Learning 和 Recurrent Neural Network引入该公司在当时已经是...
ThePandasmicro-course will give you the data manipulation skills to quickly go from conceptual idea to implementation in your data science projects. You are also ready for theDeep Learningmicro-course, where you will build models with better-than-human level performance at computer vision tasks....
Kaggle is a popular platform for data scientists and researchers, offering a wide range of datasets and tools for data analysis and machine learning. Many researchers wonder whether they can use Kaggle datasets for their research projects. The answer is yes, but there are certain steps and consid...
Kaggle 是一个流行的数据科学竞赛平台。 GitHub 入门操作指南 和Kaggle 入门操作指南,适合于学习过 MachineLearning(机器学习实战) 的小盆友 Kaggle 已被 Google 收购,请参阅《谷歌收购 Kaggle 为什么会震动三界(AI、机器学习、数据科学界)》Note: 号外号外 kaggle组队开始啦 【Kaggle 入门篇】资源整理完毕,跟我们一...
1.Titanic Machine Learning from Disaster 1. 预测目标 通过每位乘客的特征值,来预测其是否能从泰坦尼克号事故中存活下来,目标值1代表存活,0代表不存活。竞赛官网为https://www.kaggle.com/c/titanic/overview。 2. 特征描述 3. 数据集概览 从官网下载下来的数据集包含三个CSV文件:train.csv,test.csv,gender_su...
Intro to Machine Learning 3 hours to complete Learn the core ideas in machine learning, and build your first models. Pandas 4 hours to complete Solve short hands-on challenges to perfect your data manipulation skills. Build your ML skills in a supportive and helpful community ...
Julia made an attempt at a Kaggle competition and did not do well. The problem was that she does machine learning as part of her role atStripe. It was this disconnect from what makes her good at her job and what it takes to do well in a machine learning competition what sparked the ...