Jan 8, 2015 • vancexu Learning How to Learn: Powerful mental tools to help you master tough subjects 是 University of California, San Diego 在coursera上开放的一门公开课, Whether you are an outstanding or a struggling student, "Learning How to Learn" will g…

花了三天完成了Cousera上的Learning how to learn的课程,由于未完成批阅他人作业,所以分不是很高,但是老师讲的课程非常的好,值得一听: 课程的笔记: 我们的一生是一个不断接触和学习新事物的过程.了解大脑是如何运转的,学习如何学习可以帮助我们提高学习效率,减少学习时的焦虑,从而改善生活的质量,最终走上人生巅峰. Focused Mode vs Diffuse Mode Focused Mode和Diffuse Mode是什么 Focused Mode可以让大脑有意识的专注在…

add by zhj: 工作中提高自己水平的最重要的一点是——快速的学习能力.这篇文章就是探讨这个问题的,掌握了快速学习能力的规律,你自然就有了快速学习能力了. 原文:Learning How to Learn学习笔记 强力推荐的Coursera课程 “learning how to learn”. 这门课的一个主要观点是 diffuse mode thinking (如常规的身体锻炼) 对提高思考和学习能力有很大帮助.我实践了一两个月,感觉效果很好.工作中遇到的问题都更容易梳理解决.我们目标只…

Introduction 这是 UCSD 开设在 Coursera 上的课程 Learning How to Learn 的课程笔记.这门课程主要基于神经科学和认知心理学的一些研究成果讲述高效学习的理论和技巧,涉及了大脑的记忆机制.拖延的成因和应对方式,以及许多关于学习抽象复杂知识的小技巧. 由于时间有限,我只看了视频和通过了所有的 Quiz.Optional Assignment 和参考文献里的内容需要花费数倍的时间去仔细研究.尽管如此我依然感觉获益匪浅,故决定将笔记公开造福大家. 文中几乎所…

1.Practice 2.memory every week for from working memory to long tern memory 3.sleep 4.running promote general new neuron and get some new idea and take notes or write it down avoid forget 5.share and discuss with some people or expert 6.read a lot of…

1-1 Introduction to the focused and diffuse modes (4:40) 两种思考的模式:focused mode以及diffuse mode focused mode:是当有意识地专注思考问题或理解概念时的大脑工作模式.大脑的某些部分高强度的工作,但仅限于这一小部分. diffuse mode: 是大脑神经处于某种放松状态的模式.如果处理没有处理过的问题,需要新的想法,那么你的大脑找不到focused mode中存在的那部分固定的思考模式相关的神经,这就…

Voting classifier 多种分类器分别训练,然后分别对输入(新数据)预测/分类,各个分类器的结果视为投票,投出最终结果: 训练: 投票: 为什么三个臭皮匠顶一个诸葛亮.通过大数定律直观地解释: 一个硬币P(H)=0.51.大数定律保证抛硬币很多次之后,平均得到的正面频数接近\(0.51 \times N\),并且N越大,越接近.那么换个角度,N表示同时掷硬币的人数,即为这边的N个臭皮匠,他们的结果合到一起就得到的是接近真实结果的值. 进一步根据中心极限定理,即二项分布以正态分布为其极…

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…

Meta Learning/ Learning to Learn/ One Shot Learning/ Lifelong Learning 2018-08-03 19:16:56 本文转自:https://github.com/floodsung/Meta-Learning-Papers 1 Legacy Papers [1] Nicolas Schweighofer and Kenji Doya. Meta-learning in reinforcement learning. Neural…

ECCV-2010 Tutorial: Feature Learning for Image Classification Organizers Kai Yu (NEC Laboratories America, kyu@sv.nec-labs.com), Andrew Ng (Stanford University, ang@cs.stanford.edu) Place & Time: Creta Maris Hotel, Crete, Greece, 9:00 – 13:00, Septem…

Machine Learning for Developers Most developers these days have heard of machine learning, but when trying to find an 'easy' way into this technique, most people find themselves getting scared off by the abstractness of the concept of Machine Learnin…

About me In my spare time, I love learning new technologies and going to hackathons. Our hackathon project Pantrylogs using Artificial Intelligence was selected as one of the 10 Microsoft Imagine Cup UK finalists. I’m interested in learning more abou…

the main steps: 1. look at the big picture 2. get the data 3. discover and visualize the data to gain insights 4. prepare the data for machine learning algorithms 5. select a model and train it 6. fine-tune your model 7. present your solution 8. laun…

翻译 Improved Word Representation Learning with Sememes 题目 Improved Word Representation Learning with Sememes 融合义原知识的词汇表示学习 摘要 Abstract Sememes are minimum semantic units of word meanings, and the meaning of each word sense is typically composed by sev…

深度强化学习的18个关键问题 from: https://zhuanlan.zhihu.com/p/32153603 85 人赞了该文章 深度强化学习的问题在哪里?未来怎么走?哪些方面可以突破? 这两天我阅读了两篇篇猛文A Brief Survey of Deep Reinforcement Learning 和 Deep Reinforcement Learning: An Overview ,作者排山倒海的引用了200多篇文献,阐述强化学习未来的方向.原文归纳出深度强化学习中的常见科学问题,…

Supervised Learning with scikit-learn | DataCamp https://www.datacamp.com/courses/supervised-learning-with-scikit-learn At the end of day, the value of Data Scientists rests on their ability to describe the world and to make predictions. Machine Lear…

A Gentle Guide to Machine Learning Machine Learning is a subfield within Artificial Intelligence that builds algorithms that allow computers to learn to perform tasks from data instead of being explicitly programmed. Got it? We can make machines lear…

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…

About this Course If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "s…

##Advice for Applying Machine Learning Applying machine learning in practice is not always straightforward. In this module, we share best practices for applying machine learning in practice, and discuss the best ways to evaluate performance of the le…

Forty years of research[i] says yes, games are effective learning tools. People learn from games, and they will learn more from a game than from other forms of learning.[ii] However, most people don’t get whygames work, which causes them to dismiss g…

from: http://www.metacademy.org/roadmaps/rgrosse/bayesian_machine_learning Created by: Roger Grosse(http://www.cs.toronto.edu/~rgrosse/) Intended for: beginning machine learning researchers, practitioners Bayesian statistics is a branch of statistics…

[it-ebooks]电子书列表   [2014]: Learning Objective-C by Developing iPhone Games || Leverage Xcode and Objective-C to develop iPhone games http://it-ebooks.info/book/3544/Learning Web App Development || Build Quickly with Proven JavaScript Techniques http:…

MongoDB介绍 MongoDB是一个面向文档的,开源数据库程序,它平台无关.MongoDB像其他一些NoSQL数据库(但不是全部!)使用JSON结构的文档存储数据.这是使得数据非常灵活,不需要的Schema. 一些比较重要的特点是: 支持多种标准查询类型,比如matching().comparison (, )或者正则表达式: 可以存储几乎任何类型的数据,无论是结构化,部分结构化,甚至是多态: 要扩展和处理更多查询,只需添加更多的机器: 它是高度灵活和敏捷,让您能够快速开发应用程序: 作为基…

Python是开发社区中用于许多不同类型应用的强大编程语言.很多人都知道它是可以处理几乎任何任务的灵活语言.因此,在Python应用中需要一个什么样的与语言本身一样灵活的数据库呢?那就是NoSQL,比如MongoDB. 英文原文:https://realpython.com/blog/python/introduction-to-mongodb-and-python 1.SQL vs NoSQL 如果你不是很熟悉NoSQL这个概念,MongoDB就是一个NoSQL数据库.近几年来它越来越受到整个…

Artificial intelligence, revealed Yann LeCunJoaquin Quiñonero Candela It's 8:00 am on a Tuesday morning. You've awoken, scanned the headlines on your phone, responded to an online post, ordered a holiday sweater for your mom, locked up the house, and…

Large Scale Visual Recognition Challenge 2015 (ILSVRC2015) Legend: Yellow background = winner in this task according to this metric; authors are willing to reveal the method White background = authors are willing to reveal the method Grey background…

This method is "The Power of Reading" and it comes from an article by Dr.Stephen Krashen. He is probably the number one expert on language learning and language teaching in the world. Here're some questions: 1.How do people ,native speakers, and…

表单,在HTML中的标签为<form></form>,在网页中主要负责数据采集功能.我们在浏览网站时,常常会碰到注册账号.账号登录等,这就是表单的典型应用. 在Django学习(2)数据宝库中,我们学习了Django与MySQL数据库的连接:在Django学习(3)模板定制中,我们学习了利用Django的模板将HTML设计与Python代码分离开来.这次,我们将要学习如何利用表单在网页上直接操作MySQL数据库. 我们延续Django学习(2)数据宝库的Book项目,首先新建项目B…

http://blog.csdn.net/pipisorry/article/details/49427989 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记 推荐系统Recommendation System之隐语义模型latent semantic analysis {博客内容:Clustering.  The problem is to take large numbers of points and group…