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on Data Mining (SDM18). San Diego, USA. 8 May, Prepare. ai Conference. St. Lous, USA. 9-10 May, Train AI. San Francisco, USA. 9-10 May, Machine Learning Innovation Summit. San Francisco, USA. 15-17 May, Business of Bots 2018. San Francisco, USA. 16-18 May, Colombian Conference on Applications in Computational Intelligence (ColCACI). Medellin, Columbia. 16-19 May

communications industries, the IT operations personnel are very many, it operations involved in the face is very wide. is a network, system, security, application architecture, storage as one integrated technology post. Although no program ape "born as a Bachelor, Die also write code," The solemn and tragic, but also has "Hoe wo Day Copse, as the operation of suffering" feeling. Every day to the computer and machine, the time has been inevitable for

Objective Machine learning is divided into: supervised learning, unsupervised learning, semi-supervised learning (can also be used Hinton said reinforcement learning) and so on. Here, the main understanding of supervision and unsu

pursuit of IT operations personnel to learn network security knowledge, to master network security practices. Career development in the direction of network security, to solve the problem of the shortage of information security personnel in China. In addition, even if not transformation, to do a good job in operation and maintenance, learning safety knowledge to obtain safety certification is also essential. Reason three: grounding gas, international

original text sets, providing a visual display of middleware processing effects, as well as processing tools for small-scale data. its intelligent learning function is a self-learning module for Chinese word segmentation development. Ling Jiu Nlpir Text Search and mining development System Intelligent Learning

Python Data analysisWhy do you choose Python for data analysis?Python will inevitably be close to other open source and commercial domain-specific programming languages/tools such as R, MATLAB, SAS, Stata, etc. for data analysis and interaction, exploratory computing, and data visualization. In recent years, Python has a constantly improved library (mainly pandas), making it a major alternative to data processing tasks. Combined with its power in general programming, we can use only Python to bu

integration, Data transformation, data specification, etc. This section is interested in reading a book, "Python Data analysis and mining". The book looks like a frame. In fact, it doesn't write well. I wasted a long time.Six Modeling machine learningLearn a variety of machine learning, data analysis algorithms.Algori

I was fortunate enough to take the MOOC college Hadoop experience class at the academy.This is the little Elephant College hadoop2. X's Notes As the usual data mining do more, so the priority to see Mahout direction video.Mahout has good extensibility and fault tolerance (based on hdfsmapreduce development), which realizes most commonly used data mining algorithms (clustering, classification, recommendation

industries, IT operations personnel are very many, it operations involved in the face is also very wide. is a network, system, security, application architecture, storage as one integrated technology post. Although no program ape "born as a Bachelor, Die also write code," The solemn and tragic, but also has "Hoe wo Day Copse, as the operation of suffering" feeling. Every day to the computer and machine, the time has been inevitable for career develop