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"the way "Since unsupervised learning is difficult, supervised learning is not reliable, take a compromise, each take the director." The current development is that the supervised learning technology is already mature, unsupervised learning is still in the beginning, so the supervision of

connectivity analysis to perform multivariate statistics.5.PyBrainPybrain is based on the Python language reinforcement learning, artificial intelligence, neural network library abbreviation. It aims to compare your algorithms by providing flexible, easy-to-use and powerful machine learning algorithms and testing in a variety of pre-defined environments.6.Patter

technology. 5 (3), 2014[3] Jerry lead http://www.cnblogs.com/jerrylead/[3] Big data-massive data mining and distributed processing on the internet Anand Rajaraman,jeffrey David Ullman, Wang Bin[4] UFLDL Tutorial http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial[5] Spark Mllib's naive Bayesian classification algorithm http://selfup.cn/683.html[6] mllib-dimensionality Reduction http://spark.apache.org/docs/latest/mllib-dimensionality-reduc

sensitive your system is to sample size and its corresponding adjustments.The wrong questionThe second selling point was that the system failed, and it was shut out of all cats.This example highlights the importance of understanding the constraints of the problems we need to solve, rather than focusing on the problems you want to solve.Misunderstandings in machine learning engineeringBen went on to discuss

of biological specimens, and are the main developers of the Python Computer Vision Library Mahotas. He started developing open source software in 1998, began Python development in 2004, and contributed code to multiple Python open source libraries. In addition, Luis has a PhD from the world's leading Carnegie Mellon University in Machine learning and has published numerous scientific papers.Translator Prof

industry, supervised learning is a more common and valuable way, as described below in this way. As shown in, supervised machine learning in solving practical problems, there are two processes, one is the offline training process (blue arrow), including data filtering and cleaning, feature extraction, model training and optimization model, and so on, the other p

　　This article is the author through the "Machine learning Practice," the Book of Learning, the following made his own study notes. The writing is clumsy and correct!Machine Learning (machines learning, ML) is a multidisciplinary

machine learning project is the Oryx of Cloudera, which is characterized by further analysis of mahout processing results by delivering live stream results rather than processing batch jobs. The project is still in its infancy, and note that this is a project rather than a real product, but it is constantly improving, so it deserves attention. Java In addition to the above-mentioned mahout for Hadoop, othe

Scikit-learn.org an open source machine learning Python Tool Http://scikit-learn.org/stable/tutorial/machine_learning_map/index.html Theano-phthon Deep Learning Algorithm Library Python scientific computing Library Http://sebug.net/paper/books/scipydoc/index.html Machine Learnin