[unable to retrieve full-text content]5 highlights and thoughts from my attendance to Strata London 2018.
Original Post: 5 Key Takeaways from Strata London 2018
[unable to retrieve full-text content]In this article we will expand on the knowledge learnt from the last article – The What, Where and How of Data for Data Science – and consider how data science is applied to predict the future.
Original Post: Data Science Predicting The Future
[unable to retrieve full-text content]Seeking candidates to design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions.
Original Post: ZS Associates: Data Science Associate Consultant
[unable to retrieve full-text content]VP of Data Science is asking opinions on how should he organize a larger Data Science team.
Original Post: How should I organize a larger data science team?
[unable to retrieve full-text content]While KDnuggets takes no side, we present the informative and respectful back and forth as we believe it has value for our readers. We hope that you agree.
Original Post: Statistics, Causality, and What Claims are Difficult to Swallow: Judea Pearl debates Kevin Gray
[unable to retrieve full-text content]A comprehensive guide to applying for a job in data science, covering the application, interview and offer stage.
Original Post: Advice For Applying To Data Science Jobs
[unable to retrieve full-text content]This articles examines a scenario where your machine learning model can fail.
Original Post: How (dis)similar are my train and test data?
[unable to retrieve full-text content]Gain some perspective on the Netflix interview process, and on ways to prepare for just such an industry interview.
Original Post: Netflix Data Science Interview Questions — Acing the AI Interview
[unable to retrieve full-text content]Aspiring to master the command line should be on every developer’s list, especially data scientists. Learning the ins and outs of your terminal will undeniably make you more productive.
Original Post: Command Line Tricks For Data Scientists
[unable to retrieve full-text content]We find 6 tools form the modern open source Data Science / Machine Learning ecosystem; examine whether Python declared victory over R; and review which tools are most associated with Deep Learning and Big Data.
Original Post: The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?