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CONTACTOS Bolivia La Paz Prov Murillo Unidad de Datos, 0 Fundación ARU Metadatos <ul class="col-lg-6 col-md-6 col-sm-6"> <li class="qq"><i class="fa fa-qq"></i>   22004491</li> <li class="email"><i class=" ...

Evaluate Reverse Polish Notation:题目链接 AC code:123456789101112131415161718192021222324252627282930313233基本思想：因为已经是后缀表达式了，遍历给出的表达式，遇到数字进栈，遇到符号出栈两个数进行运算再存入栈中，最后栈顶元素就是答案*/int (char **tokens, int tokensSize) { int stack[10000]; // 用数组模拟栈 int top = -1; for (int i = 0; i < tokensSize; ++i) { if (isdigit(tokens[i][0]) || (tokens[i][0] == '-' && isdigit(tokens[i][1]))) { //如果是数字 "-11"单独考虑 stack[++top] = atoi(tokens[i]); } else { // 操作符 ...

Abstract. In this study, I evaluate some popular deep learning toolkits. The candidates are listed in alphabetical order: Caffe, CNTK, TensorFlow, Theano, and Torch. This is a dynamic document and the evaluation, to the best of my knowledge, is based on the current state of their code. I also provide ratings in some areas because for a lot of people, ratings are useful. However, keep in mind that ratings are inherently subjective [1]. If you find something wrong or inadequate, please help improv ...

By Jurriaan Nagelkerke, Data Science Consultant, and Pieter Marcus, Data Scientist   Why ROC curves are a bad idea to explain your model to business people   Summary  In this blog we explain four most valuable evaluation plots to assess the business value of a predictive model. These plots are cumulative gains, cumulative lift, response and cumulative response. Since these visualisations are not included in most popular model building packages or modules in R and Python, we show how you can easi ...

In this blog post, we introduce three new features of the Amazon SageMaker Neural Topic Model (NTM) that are designed to help improve user productivity, enhance topic evaluation capability, and speed up model training. In addition to these new features, by optimizing sparse operations and the parameter server, we have improved the speed of the algorithm by 2x for training and 4x for evaluation on a single GPU. The speedup is even more significant for multi-GPU training. Amazon SageMaker NTM is a ...

Mean reversion is the assumption that things tend to revert back to their means in the long run. This is especially true for valuations and certain macroeconomic variables, but not so much for stock prices themselves. In this post we’ll look at the mean reversion of different valuation measures by forming equal sized baskets from each valuation decile and letting the valuations change as time goes on. This study (pdf) shows an interesting graph on page 23 about the mean reversion of the 10-year ...

These are my sketchnotes for Sam Charrington’s podcast This Week in Machine Learning and AI about Evaluating Model Explainability Methods with Sara Hooker: Sketchnotes from TWiMLAI talk: Evaluating Model Explainability Methods with Sara Hooker You can listen to the podcast here. In this, the first episode of the Deep Learning Indaba series, we’re joined by Sara Hooker, AI Resident at Google Brain. I had the pleasure of speaking with Sara in the run-up to the Indaba about her work on interpretab ...

This is an abstract I wrote for a talk I didn’t end up giving. (The conference conflicted with something else I had to do that week.) But I thought it might interest some of you, so here it is: Bayes, statistics, and reproducibility The two central ideas in the foundations of statistics—Bayesian inference and frequentist evaluation—both are defined in terms of replications. For a Bayesian, the replication comes in the prior distribution, which represents possible parameter values under the se ...

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