Why ML stategy 怎么提高预测准确度?有了stategy就知道从哪些地方入手,而不至于找错方向做无用功. Satisficing and Optimizing metric 上图中,running time <= 100ms 就是satisficing,accuracy 就是 optimazing. Dev set and test set should be from same distribution. 传统的traing set/ dev set / test set 比例是6…
Decision Boundaries for Deep Learning and other Machine Learning classifiers H2O, one of the leading deep learning framework in python, is now available in R. We will show how to get started with H2O, its working, plotting of decision boundaries and…
About this Course You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been…
Learning Goals Understand why Machine Learning strategy is important Apply satisficing and optimizing metrics to set up your goal for ML projects Choose a correct train/dev/test split of your dataset Understand how to define human-level performance U…
[]To help you practice strategies for machine learning, the following exercise will present an in-depth scenario and ask how you would act. Consider airplane pilots who’s training involves time spent in flight simulators. These flight simulators acce…
Week1 Bird recognition in the city of Peacetopia (case study)( 和平之城中的鸟类识别(案例研究)) 1.Problem Statement This example is adapted from a real production application, but with details disguised to protect confidentiality. (问题陈述:这个例子来源于实际项目,但是为了保护机密性,我们会对细节…
一.Training of a Single-Layer Neural Network 1 Delta Rule Consider a single-layer neural network, as shown in Figure 2-11. In the figure, d i is the correct output of the output node i. Long story short, the delta rule adjusts the weight as the follow…
Learning Goals Understand what multi-task learning and transfer learning are Recognize bias, variance and data-mismatch by looking at the performances of your algorithm on train/dev/test sets [中文翻译] 学习目标 了解什么是多任务学习和迁移学习 通过在训练/开发/测试集上查看算法的性能, 识别偏差.方差和…
一.改进模型的几个方法 Collect more data Collect more diverse training set Train algorithm longer with gradient descent Try Adam instead of gradient descent Try bigger network Try dropout Add \(L_2\) regularization Network architecture Activation functions hidd…
1. active learning Active learning 是一种特殊形式的半监督机器学习方法,该方法允许交互式地询问用户(或者其他形式的信息源 information source)以获取对新的数据样本的理想输出. Active learning 提供的这种交互机制尤其适用于 unlabeled data 有很多,且手工标注的代价十分高昂的场合.显然这种交互式地向用户询问以获取label,使得原始非监督问题变成了一种迭代式的监督学习(iterative supervised lear…
Common Pitfalls In Machine Learning Projects In a recent presentation, Ben Hamner described the common pitfalls in machine learning projects he and his colleagues have observed during competitions on Kaggle. The talk was titled "Machine Learning Grem…
https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644 How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…
Complete Small Focused Projects and Demonstrate Your Skills (完成小型针对性机器学习项目,证明你的能力) A portfolio is typically used by designers and artists to show examples of prior work to prospective clients and employers. Design, art and photography are examples wh…
Machine Learning Crash Course | Google Developers https://developers.google.com/machine-learning/crash-course/ Google's fast-paced, practical introduction to machine learning ML Concepts Introduction to Machine Learning As you'll discover, machine…
Getting started with machine learning in Python Machine learning is a field that uses algorithms to learn from data and make predictions. Practically, this means that we can feed data into an algorithm, and use it to make predictions about what might…
https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning How do I learn mathematics for machine learning? Promoted by Time Doctor Software for productivity tracking. Time tracking and productivity improvement software with screenshots…
5 Techniques To Understand Machine Learning Algorithms Without the Background in Mathematics Where does theory fit into a top-down approach to studying machine learning? In the traditional approach to teaching machine learning, theory comes first req…
About this Course Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly i…
