cloudera data scientist

In a recent conversation, Facebook AI research scientist Moustapha Cissé told me, "What you eat, what you are, and we're feeding junk food to algorithmic models."If you don't know what's in the food, it's hard for you to eat properly. Similarly, if you do not understand the principles of training data, you cannot train a model with a smaller bias.Many machine learning and deep learning models tend to use pu

a fantasy, the Predictive Analysis Contest website Kaggle provides us with many examples. In September this year, a lawyer-born insurance risk Model designer, Carter S, took the project bonus for the first time in the Kaggle competition. Carter uses the original "Violence Analysis" (Overkill Analytics), the so-called violence analysis is to abandon the complexity of big data analysis model, the combination of a large number of simple models, using to

Author Lighthouse Big DataThis document is transferred from the public Lighthouse Big Data (Dtbigdata), reprinted to be authorized If you are interested in a variety of scientific topics in data classes, you are in the right place. This article will introduce you to 42 steps to become a good data scientist. De

We all know big data about hadoop, but various technologies will enter our field of view: spark, storm, and Impala, which cannot be reflected by us. In order to better construct Big Data projects, let's sort out the appropriate technologies for technicians, project managers, and architects to understand the relationship between various big data technologies and s

Arrogant data room environmental monitoring System after the concept was proposed, which company received the most attention? Not the traditional IT industry giants, nor the fast-rising internet companies, but Cloudera. Those who believe that the real big data in the enterprise should know this company. For just 7 years, Clou