Open Datasets For Machine Learning

Learn about open datasets for machine learning, we have the largest and most updated open datasets for machine learning information on alibabacloud.com

Recommended! The machine learning resources compiled by foreign programmers

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

How to choose an open source machine learning framework

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

When machine learning encounters machine Vision (2)

This blog post was completed by Microsoft University and Jamie Shotton,antonio Criminisi,sebastian Nowozin in Cambridge, the second of the topic. In the last article, we introduced you to the field of machine vision and discussed a very effective algorithm--pixel intelligent classification decision tree, which has been widely used in medical image processing and Kinect. In this article, we will see the recent Hot Deep neural network (depth learning) and its success in machine vision ...

A simple machine learning small instance with javascript

While it may not be the development language of traditional choices for machine learning, JavaScript is proving to be able to do this—even though it currently cannot compete with the main machine learning language Python. Before we go any further, let's take a look at machine learning.

Why do some companies prefer to use the R + Hadoop solution in the machine learning business?

Introduction: It is well known that R is unparalleled in solving statistical problems. But R is slow at data speeds up to 2G, creating a solution that runs distributed algorithms in conjunction with Hadoop, but is there a team that uses solutions like python + Hadoop? R Such origins in the statistical computer package and Hadoop combination will not be a problem? The answer from the king of Frank: Because they do not understand the characteristics of R and Hadoop application scenarios, just ...

Algorithms in Machine Learning (1) - Random Forest and GBDT Based on Decision Tree Model Combination

Algorithms in Machine Learning (1) - Random Forest and GBDT Based on Decision Tree Model Combination. Decision Tree This algorithm has many good features, such as training time complexity is low, the prediction process is relatively fast, the model is easy to display (easy to get the decision tree made of pictures) and so on. But at the same time, the single decision tree has some bad points, such as easy over-fitting, although there are some ways, such as pruning can reduce this situation, but not enough. Model combinations (say Boosting, Bagging, etc.) are related to decision trees ...

Machine Intelligence Company Overview

Absrtact: For artificial intelligence, there are two kinds of attitudes at present. One is the fear that Elon Musk and others fear that advanced AI poses a threat to humans, Nicholas Carr, who fears that automation will rob people of their jobs and make them stupid; One is the fear that Elon Musk and others fear that advanced AI can pose a threat to humans, Nicholas Carr fears that automation can rob people of jobs and make people stupid;

Machine Intelligence Company Overview

Absrtact: For artificial intelligence, there are two kinds of attitudes at present. One is the fear that Elon Musk and others fear that advanced AI poses a threat to humans, Nicholas Carr, who fears that automation will rob people of their jobs and make them stupid; One is the fear that Elon Musk and others fear that advanced AI can pose a threat to humans, Nicholas Carr fears that automation can rob people of jobs and make people stupid;

Spark: A framework for cluster computing on a workgroup

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

Big data: More than 70 sites give you free access to large data repositories

Do you need a lot of data to test your app performance? The easiest way to do this is to download data samples from the free data repository on the web. But the biggest drawback of this approach is that the data rarely has unique content and does not necessarily achieve the desired results. Here are more than 70 sites with free large data repositories available. Wikipedia:database: Provide free copies of all available content to interested users. Data can be obtained in multiple languages. Content can be downloaded together with pictures. Common crawl to establish and maintain a human being ...

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