best machine learning tools

From: http://www.cvchina.info/2012/07/10/%e8%b6%85%e7%9b%b4%e8%a7%82%e7%9a%84%e5%8f%af%e8%a7%86%e5%8c%96%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e5%b7%a5%e5%85%b7/#more-3454 I accidentally discovered this when I checked the nirod's priell mailing archives. This is a software named mldemos and the effect is superb ~~This visual machine learning software helps us understand different

[Introduction to machine learning] Li Hongyi Machine Learning notes-9 ("Hello World" of deep learning; exploring deep learning) PDF Video Keras Example application-handwriting Digit recognition Step 1

IntroductionThe systematic learning machine learning course has benefited me a lot, and I think it is necessary to understand some basic problems, such as the category of machine learning algorithms.Why do you say that? I admit that, as a beginner, may not be in the early st

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector machine), clust

Objective:When looking for a job (IT industry), in addition to the common software development, machine learning positions can also be regarded as a choice, many computer graduate students will contact this, if your research direction is machine learning/data mining and so on, and it is very interested in, you can cons

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector machine), clust

Preface: "The foundation determines the height, not the height of the foundation!" The book mainly from the coding program, data structure, mathematical theory, data processing and visualization of several aspects of the theory of machine learning, and then extended to the probability theory, numerical analysis, matrix analysis and other knowledge to guide us into the world of

Http://www.cnblogs.com/xrq730/p/4842483.htmlObjectiveWhen locating system problems, knowledge, experience is the basis, data is the basis, tools are the means of using knowledge to process data. The data mentioned here are: Run log, exception stack, GC log, thread snapshot, heap dump snapshot, and so on. Frequent use of the appropriate tools for virtual machine m

ObjectiveWhen locating system problems, knowledge, experience is the basis, data is the basis, tools are the means of using knowledge to process data. The data mentioned here are: Run log, exception stack, GC log, thread snapshot, heap dump snapshot, and so on. Frequent use of the appropriate tools for virtual machine monitoring and analysis can speed up the anal

This column (Machine learning) includes single parameter linear regression, multiple parameter linear regression, Octave Tutorial, Logistic regression, regularization, neural network, machine learning system design, SVM (Support vector machines Support vector machine), clust