golang machine learning library

Engineering implementation of C4.5 decision treeThis article begins with a series of engineering implementations of machine learning algorithms. For common and simple considerations, the C4.5 decision tree was chosen as the first algorithm.Engineering FrameworkSince this is the first algorithm implementation, it should be necessary to introduce the entire engineering framework.For optimal performance, this

tool to complete other tasks. Python is a high-level programming language. We can spend more time processing the internal meaning of data, instead of spending too much energy on how computers get data results. The Python language makes it easy for us to express our goals. Disadvantages of Python The only drawback of the Python language is the performance. Python programs run less efficiently than Java or C code, but we can use python to call C-compiled code. In this way, we can gradually develo

Caffe) are not good for multi-machine parallel support. In an end-to-end big data solution for a top-tier payment company, Intel developed Standardizer, WOE, neural network models, estimator, Bagging utility, and so on, and ML pipelines are also improved by Intel. Sparse logistic regression mainly solves the problem of network and memory bottleneck, because large-scale learning, the weight of each iter

Recently, the Facebook Artificial Intelligence Research Institute (FAIR) has open-source a series of software libraries to help developers build larger, faster, Gigaom reports. Model of depth learning. The Open Software Library is called a module on Facebook. Using them to replace the torch in the common development environment in the field of machine

Analysis of malware through machine learning: Basic Principles of clustering algorithms in Deepviz Since last year, we have discovered that many audiovisual companies have begun to engage in machine learning and artificial intelligence, hoping to find a fast and effective way to analyze and isolate new types of malware

, classification, and other machine learning algorithms. The initial development of the community was "followed" by the paper published by ng et al.Map-Reduce framework (Map-reduce for machine learning on multicore) ", the Community has been committedDevelopment of machine

an open source software library that uses a data flow graph (stream graphs) for numerical computations. A node (Nodes) represents a mathematical operation in a graph, and a line (edges) in a graph represents an array of multidimensional data, the tensor (tensor), that is interconnected between nodes. Its flexible architecture allows you to expand computing on a variety of platforms, such as one or more CPUs (or GPU), servers, mobile devices, and so o

Many friends want to learn machine learning, but suffer from the construction of the environment, here is the Windows Scikit-learn Research and development environment to build steps.Step 1. Installation of PythonPython has versions of 2.x and 3.x, but many good machine learning Python libraries do not support 3.x, so

Introduce Today will say two questions, first, suggest Bigfoot more look at Daniel's blog, Can rise posture ... For example: 1, focusing on language programming and application of the Liao Xuefeng https://www.liaoxuefeng.com/ 2, focus on the tall algorithm and open Source Library introduction of Mo annoying https://morvanzhou.github.io/ Second, deepen the understanding of machine

Scikit-learn is a very popular open source library in the field of machine learning, written in the Python language. Free to use.Website: http://scikit-learn.org/stable/index.htmlThere are a lot of tutorials, programming examples. And also made a good summary, the following figure summarizes the traditional machine

Https://github.com/beniz/deepdetectDeepdetect (http://www.deepdetect.com/) is a machine learning APIs and server written in C++11. It makes state of the "Art machine" learning easy-to-work with and integrate into existing applications.Deepdetect relies on external machine

It seems that mathematics is always not enough. These days, in order to solve some problems in research, we held a textbook on mathematics in the library. From the university to the present, the number of Mathematics Courses in the classroom and the number of self-taught mathematics courses is not very small. However, during the study, we always find that new mathematical knowledge needs to be supplemented. Learni