A quick introduction into Dimension Reduction, including a few widely used techniques, linear discriminant analysis, principal component analysis, kernel principal component analysis, and more. Continue reading “What Is Dimension Reduction in Machine Learning”
steps by steps on how to prepare data science interview with practical advices. by Brandon Rohrer, data scientist at Facebook. 15mins read Continue reading “Speaker Post: How to survive your data science interview”
full of specific actions to take, not just abstract ideals on how we analyze large and complex data sets in Google. by Partick Riley. 10mins read.
Continue reading “Google Data Analysis: practical advice for analysis of large, complex data sets”
Software Engineer/Data Scientist, NLP – Ads Targeting&Modeling
The author explained how various facts (portfolio, kaggle competition, github, blogging, etc..) play important role to land the first data science job. by Reshama Shailkh, 4 min read. Continue reading “How Do I Get My First Data Science Job?”
we introduce some of the challenges in the content-delivery space where our data science and engineering teams collaborate to optimize the Netflix service. by Andrew Berglund, 7 mins read
practical aspects of what’s behind the scenes of data science and analytics at LinkedIn. and what we look for when interview a data scientist candidates. by michael li. 5 min read. Continue reading “Speaker Post: Skills that LinkedIn looks for when hiring data scientist”