data scientist linkedin

According to the KDD Conference, he was very impressed with the lectures by LinkedIn's chief scientist posse, not only from his French accent, but also from LinkedIn's meticulous data analysis. Title and abstract are as follows: Key lessons learned building recommender systems for large-scale social networksChristian posse LinkedIn Inc. Abstract By helping member

LinkedIn is one of the most popular professional social networking websites today. This article describes how LinkedIn manages data. If you have any objection to the point in this article or have any omissions in this article, please feel free to let me know. LinkedIn.com data use cases below are some

Preface: A few months ago, at the request of a friend, wrote a LinkedIn crawler, not very difficult, but the function is also fun, so they sorted out a decentralized. Code See Github:linkedinspider.Reptile function : Enter a company name, crawl related employee's LinkedIn data, field see screenshot below. Text: Let's start with LinkedIn's limitations: No login

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